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rblundon:0.1.2

119 Commits
818b6505dd ... master

Author SHA1 Message Date
Hermes Agent service account
c3755aa29e llm-inference-multimodel: role + day1 playbook (phase 0 discover approved) 2026-08-05 15:53:31 -05:00
Hermes Agent service account
782cbe33d1 llm-inference: size ctx-size/parallel for aux task offload 
Previous ctx-size=8192/parallel=4 gave 2048 tokens/slot, too small for
context compression inputs (observed live rejection at 3826 tokens).

Measured VRAM on astro-orbiter (RTX 3090 24GB): weights ~17GB resident,
~294KiB/token pool-wide for KV cache+buffers at prior sizing.

New: ctx-size=16384, parallel=2 -> 8192 tokens/slot (matches model's
native n_ctx_train max). Projected VRAM ~21.8GB, ~2.7GB headroom.

Applied directly via ansible-playbook (Semaphore currently broken --
fix tracked separately).
 2026-08-05 12:14:11 -05:00
Hermes Agent service account
aff792a061 feat(llm-inference): move astro-orbiter monitoring to GitOps (values.yaml + dashboards.yaml) 
- Prometheus scrape configs for node/gpu/llama-server exporters on
  astro-orbiter now declared in cluster/applications/monitoring/values.yaml
  (additionalScrapeConfigs), applied via ArgoCD sync instead of an
  imperative kubectl secret patch from the Ansible role.
- Grafana dashboard for astro-orbiter LLM inference added as a ConfigMap
  in cluster/applications/monitoring/dashboards.yaml (grafana_dashboard=1
  sidecar label), replacing the role's ad-hoc kubectl apply of a rendered
  Jinja template.
- ansible/roles/llm-inference/tasks/monitoring.yml: removed the kubectl
  get/patch/apply tasks and orphaned grafana-llm-dashboard.json.j2
  template; role now only stands up node_exporter + nvidia_gpu_exporter
  and verifies they're reachable — cluster-facing config lives in Git.
- host_vars/vars.yml + inventory.yml: finalize astro-orbiter as the
  llama.cpp/RTX 3090 host (jarvis user, ssh key), drop stale Ollama/AMD
  vars and ollama_server inventory group superseded by the ATX rebuild.
 2026-08-05 09:43:54 -05:00
Hermes Agent service account
aa8e229e64 fix(llm-inference): switch serve phase from vLLM+bitsandbytes to llama.cpp+GGUF 
bitsandbytes peak RAM ~54GB (bf16 load before quantize) — kills 40GB OptiPlex.
llama.cpp Q4_K_M GGUF loads pre-quantized: peak RAM ~15.5GB, fits cleanly.

Changes:
- serve.yml: build llama.cpp with CUDA, download Q4_K_M GGUF from bartowski,
  disable vllm-serve, deploy llama-server.service
- llama-server.service.j2: OpenAI-compatible server on same port 8000,
  --n-gpu-layers 99 (full GPU offload), --parallel 4, gemma chat template
- defaults: llm_gguf_dir, llm_gguf_path, llm_gpu_layers, llm_parallel_slots
- handlers: restart llama-server, vllm-serve failed_when=false (may not exist)

GGUF: bartowski/gemma-2-27b-it-Q4_K_M.gguf (15.5GB, 24GB VRAM fits w/ ~8GB headroom)
 2026-08-03 12:37:03 -05:00
Hermes Agent service account
22a020e4c7 fix(llm-inference): bitsandbytes int4 OOM — pending switch to llama.cpp+GGUF 
bitsandbytes quantizes on-the-fly: loads full bf16 weights (~54GB RAM peak)
before compressing to int4. Kills the 40GB OptiPlex on torch.compile warmup.

Fix in next commit: switch serve phase to llama.cpp + GGUF Q4_K_M.
Pre-quantized weights load directly — peak RAM ~16GB, no compile overhead.
 2026-08-03 12:35:46 -05:00
Hermes Agent service account
e879cf73d3 fix(llm-inference): gpu_exporter version 1.2.2 → 1.13.1 (correct release tag) 2026-08-03 11:57:42 -05:00
Hermes Agent service account
423891001c feat(llm-inference): Phase 7 — Prometheus monitoring + Grafana dashboard 
- Phase 7 task file: monitoring.yml
  - node_exporter (port 9100) via apt, systemd managed
  - nvidia_gpu_exporter v1.2.2 (port 9835) — GPU util, VRAM, temp, power
  - Patches kube-prometheus additionalScrapeConfigs secret with 3 new jobs:
    node-astro-orbiter, gpu-astro-orbiter, vllm-astro-orbiter
  - Deploys Grafana dashboard ConfigMap via kubectl apply

- Grafana dashboard (11 panels):
  - Row 1: GPU util %, VRAM used, GPU temp gauge
  - Row 2: GPU power draw, vLLM token throughput, request queue depth
  - Row 3: vLLM e2e latency p50/p95/p99, KV cache utilization %
  - Row 4: System CPU %, memory, root disk gauge

- defaults/main.yml: llm_gpu_exporter_version, llm_gpu_exporter_port
- handlers/main.yml: restart nvidia-gpu-exporter
 2026-08-03 11:53:36 -05:00
Hermes Agent service account
dda6b91330 feat(llm-inference): Day 1 playbook for RTX 3090 vLLM stack on astro-orbiter 
- nvidia-driver-595-open (already installed 2026-08-03, idempotent)
- Python venv + vLLM 0.26.0 (already installed, idempotent)
- Gemma 2 27B model download via HuggingFace hub
- systemd vllm-serve.service on port 8000
- Hermes provider integration on carousel-of-progress
- vault_hf_token added to group_vars/all/vault
- ansible.cfg: vault_password_file set to absolute path
- inventory: astro_orbiter group added

Run with: env -u ANSIBLE_VAULT_PASSWORD_FILE ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference.yml
 2026-08-03 11:51:34 -05:00
Hermes Agent service account
265d3f8fd6 jmri: remove one-shot xpra migration task (idempotency fix) 
Migration from Ubuntu 3.x to upstream 6.x is complete. The explicit
removal task was firing changed on every run. state: latest on the
install task handles upgrades going forward.
 2026-08-01 22:15:11 -05:00
Hermes Agent service account
b61d19cb91 jmri: add udev rule for LCC buffer (Microchip CDC -> jmri-lcc) 2026-08-01 22:09:19 -05:00
Hermes Agent service account
00be18b1f1 jmri: move udev symlinks to /dev/jmri-* (flat, JMRI-enumerable) 
/dev/jmri/ subdirectory is invisible to JMRI's device scanner.
Symlinks must live directly in /dev to appear in the port dropdown.
 2026-08-01 21:58:42 -05:00
Hermes Agent service account
6c7ec507ef jmri: fix NCE udev rule — FTDI FT232 (ttyUSB), not Microchip CDC (ttyACM) 2026-08-01 21:55:43 -05:00
Hermes Agent service account
63b0bc72fe jmri: deploy udev rules for stable /dev/jmri/* symlinks 
Rules were documented but never deployed — /dev/jmri/nce was missing
entirely, only /dev/jmri/loconet existed (created manually).

Adds:
- templates/99-jmri-devices.rules.j2: LocoBuffer-NG -> loconet,
  NCE Power Pro (Microchip CDC) -> nce
- Task to deploy rules + trigger udev settle
- Trigger udev handler (reload-rules alone is insufficient)
 2026-08-01 21:18:06 -05:00
Hermes Agent service account
02af5d26dc jmri: fix xpra remove task idempotency (skip if already from upstream repo) 2026-08-01 21:07:32 -05:00
Hermes Agent service account
3eb38b74bd jmri: add rblundon@laptop SSH key for xpra access 
Adds jmri_ssh_authorized_keys_extra list to support multiple authorized
keys on the jmri account. Deploys rblundon's MacBook key so xpra can
connect via SSH without a password.
 2026-08-01 21:06:07 -05:00
Hermes Agent service account
2b95acb8cc jmri: install xpra from upstream repo (v6.x, replaces Ubuntu v3.x) 
Ubuntu 24.04 packages xpra 3.1.5 which is wire-incompatible with the
v6.x macOS client from xpra.org. Add xpra.org apt repo and install
current stable release so client and server versions match.
 2026-08-01 20:25:01 -05:00
Hermes Agent service account
62e9f13a45 jmri: replace TigerVNC with Xpra for JMRI GUI display 
VNC had window management issues and some dialogs wouldn't open correctly.
Xpra runs in rootless mode — each JMRI window appears natively on the
client without a VNC client or XQuartz required.

Changes:
- Remove tigervnc-standalone-server, jmri-vnc.service, .vnc/ directory
- Install xpra, deploy jmri-xpra.service.j2 (systemd unit)
- Update jmri-gui wrapper: DISPLAY=:100, attach instructions printed on launch
- Update defaults: drop VNC vars, add jmri_xpra_display=100
- Rename handler: Restart jmri-vnc -> Restart jmri-xpra

Connect from macOS/Linux:
  xpra attach ssh://jmri@main-street-station/100
 2026-08-01 20:14:49 -05:00
Hermes Agent service account
4cb87a57ad jmri: add Phase 4 TigerVNC server on :1 (port 5901) — replaces X11 forwarding 2026-07-29 23:17:35 -05:00
Hermes Agent service account
d2eaddfd11 jmri: headless service uses Lake_Country_Railroad profile 2026-07-29 22:33:49 -05:00
Hermes Agent service account
0e741aab38 jmri: gui launcher uses last-session profile instead of --profile flag 2026-07-29 22:32:22 -05:00
Hermes Agent service account
9ebd19ab52 jmri: remove udev symlink phase — JMRI uses /dev/ttyACM* natively 2026-07-29 22:17:29 -05:00
Hermes Agent service account
e47cbf2044 jmri: add jmri_lcrr_branch var; main-street-station tracks clean-profile 2026-07-29 21:50:46 -05:00
Hermes Agent service account
ce632e88b9 jmri: upgrade to 5.16 (R909e15189e) 2026-07-29 21:35:01 -05:00
Hermes Agent service account
11d8796764 jmri: version-aware install/upgrade via marker file 
Replace binary-exists check with .jmri_installed_version marker pattern.
- Reads marker on each run; skips install if version matches
- On version mismatch: stops JMRI, wipes /opt/JMRI, downloads new archive
- Separates build hash into jmri_build_hash var (templated into download URL)
- Config is preserved — lives in git-managed .jmri symlink
To upgrade: bump jmri_version + jmri_build_hash, re-run playbook.
 2026-07-29 21:34:26 -05:00
Hermes Agent service account
d974c75d7c feat(jmri): headless JMRI server with Leviton layout power monitor and X11 GUI mode 
- Stable udev device symlinks (/dev/jmri/nce, /dev/jmri/loconet, /dev/jmri/lcc)
- jmri-monitor: polls Leviton Decora Smart switch to start/stop JMRI automatically
  - Quiet hours 1-10 AM (no polling)
  - 30s off-delay before shutdown
- LCRR config cloned from Gitea (ssh://gitea.mk-labs.cloud:2221/rblundon/LCRR.git)
- ~/.jmri symlinked to LCRR repo for GitOps config management
- jmri-gui: X11 remote GUI access (PanelPro/DecoderPro) via ssh -X as jmri user
  - Stops daemon, launches GUI, restarts daemon on exit if layout still on
- jmri user gets login shell + SSH key for GUI sessions
- Full JRE installed (openjdk-21-jre) for AWT/X11 support
 2026-07-29 00:43:23 -05:00
Hermes Agent service account
a5433dcb5b minecraft: queue AntiSilverFish v0.0.4 — apply on next restart 2026-07-20 00:39:46 -05:00
Hermes Agent service account
e0eb47f5ce minecraft: add sleep-most to PLUGINS url list so it survives pod restarts 2026-07-19 21:18:57 -05:00
Hermes Agent service account
a8822f0778 minecraft: disable whitelist — open server 2026-07-19 21:02:32 -05:00
Ryan Blundon
bedf87b492 change seed 2026-07-19 20:56:03 -05:00
Hermes Agent service account
b6f7791c98 minecraft: add SkinsRestorer v15.12.4 plugin for offline-mode skin support 2026-07-19 20:48:22 -05:00
Hermes Agent service account
1a48e60afd minecraft: fix Grafana dashboard queries for prometheus-exporter v3 mc_ metric names 2026-07-19 18:27:22 -05:00
Hermes Agent service account
c26b19793b minecraft: bind prometheus exporter to 0.0.0.0 — localhost blocks Prometheus scrape 2026-07-19 18:20:11 -05:00
Hermes Agent service account
dfe81a5c20 minecraft: set prometheus exporter to port 9225, manage config via ConfigMap 2026-07-19 18:17:47 -05:00
Hermes Agent service account
4afb05e56b minecraft: wire PLUGINS env var into Deployment — prometheus exporter was never downloaded 2026-07-19 18:15:37 -05:00
Hermes Agent service account
46b49259d2 minecraft: manage sleep-most config via ConfigMap — single player sleep enabled 2026-07-19 18:13:55 -05:00
Hermes Agent service account
3f3ce68e18 minecraft: fix backup script — skip missing nether/end dirs, safe save-on on tar failure 2026-07-19 17:52:54 -05:00
Hermes Agent service account
e44805c9b6 minecraft: fix backup image — itzg/rcon-cli is distroless, use minecraft-server instead 2026-07-19 17:51:15 -05:00
Hermes Agent service account
1aa6b4234a minecraft: add hourly world backup CronJob with 3-day local retention 2026-07-19 17:48:53 -05:00
Hermes Agent service account
4cde540e70 minecraft: enable whitelist with RyansRailroad, Nylarac19, ga_eul_pabo, Ghoulish_Hannah 2026-07-19 17:39:30 -05:00
Hermes Agent service account
69fb5f5641 minecraft: disable online-mode to bypass Zscaler session auth blocking 2026-07-19 17:35:22 -05:00
Hermes Agent service account
430552a0b1 fix(minecraft): set enforce-secure-profile=false to bypass Mojang WAF block on homelab egress IP 2026-07-19 15:01:30 -05:00
Hermes Agent service account
18bb111843 feat(minecraft): add Prometheus metrics + Grafana dashboard 
- minecraft-prometheus-exporter v3.1.2 plugin (port 9225)
- ServiceMonitor for Prometheus scraping
- Grafana dashboard ConfigMap (ID 20659, Minecraft server stats)
- metrics port added to Service and Deployment containerPorts
 2026-07-19 14:53:36 -05:00
Hermes Agent service account
712425ee17 feat(minecraft): upgrade PaperMC to 26.2 (build 62) 2026-07-19 14:22:06 -05:00
Hermes Agent service account
1d77821e5f feat(minecraft): add Cloudflare ExternalDNS annotations for public DNS record 2026-07-19 14:17:14 -05:00
Hermes Agent service account
7ad40bb509 fix(minecraft): remove SleepMost plugin 2026-07-19 13:52:37 -05:00
Hermes Agent service account
3950a2b069 fix(minecraft): correct SleepMost plugin URL to v5.5.3 (5.6.2 never existed) 2026-07-19 13:50:15 -05:00
Hermes Agent service account
d20fd80798 fix(minecraft): use px-fa-direct-access storage class for world data PVC 2026-07-19 13:47:12 -05:00
Hermes Agent service account
308ee553c3 fix(minecraft): exclude application.yaml from self-sync to resolve SharedResourceWarning 2026-07-19 13:44:30 -05:00
Hermes Agent service account
56110d52bd feat(minecraft): deploy journey-into-imagination PaperMC server 
- PaperMC 26.1.2 via itzg/minecraft-server:2026.7.0
- Namespace: minecraft, Service: journey-into-imagination
- TCP port 10182 (non-standard) via ingress-nginx tcp forwarding
- Pure Storage CSI PVC (pure-block, 50Gi) for world data
- World seed hardcoded: -5177989977648707969
- RCON password via ExternalSecret + 1Password Connect
- SleepMost v5.6.2 plugin for single-player sleep
- Whitelist off at launch, toggle-ready
- ExternalDNS annotations for internal Technitium record
- Manual steps: UniFi port forward WAN:10182→10.1.71.80:10182,
  Cloudflare A record + SRV for journey-into-imagination.mk-labs.cloud
 2026-07-19 13:36:27 -05:00
Hermes Agent service account
1f07fdff45 revert: restore wed as ansible_user for main-street-station 2026-07-18 20:03:20 -05:00
Hermes Agent service account
317816558d fix: main-street-station uses jarvis user and id_jarvis key 2026-07-18 19:58:02 -05:00
Hermes Agent service account
ea22e4e407 fix: update main-street-station IP to 192.168.10.40 2026-07-18 19:38:46 -05:00
Hermes Agent service account
490c483924 feat: add JMRI headless server role and main-street-station host 
- New ansible/roles/jmri role: installs OpenJDK 21 headless, creates
  jmri service user, downloads JMRI 5.10, deploys JmriFaceless systemd unit
- Handles dialout group membership for serial device access
- Config restore task for post-reinstall recovery from GitHub backup
- host_vars/main-street-station: profile_id and serial device (TODO: fill in)
- Inventory: jmri_server group with main-street-station at 192.168.10.45
- Playbook: day1_deploy_jmri.yml (linux-baseline + jmri)
 2026-07-18 19:35:01 -05:00
Hermes Agent service account
bc34a1f915 couchdb: increase nginx proxy body size to 100m 
Fixes 413 Entity Too Large error in Obsidian LiveSync sync operations.
Applies to both internal (communicore.local) and public (communicore.mk-labs.cloud) ingress routes.
 2026-06-30 23:09:56 -05:00
Hermes Agent service account
64e690737e fix(traefik): remove WebSocket middleware - Traefik v3 handles WS natively 2026-06-30 17:19:29 -05:00
Hermes Agent service account
0693fdcd26 fix(traefik): add WebSocket middleware for Hermes dashboard Chat tab 
- Add websocket-headers middleware to jarvis router
- Set Connection: Upgrade and Upgrade: websocket headers
- Fixes 'Chat unavailable:1' WebSocket connection failures through Traefik reverse proxy
 2026-06-30 17:12:59 -05:00
Ryan Blundon
19a807899f reference file 2026-06-29 20:55:25 -05:00
Ryan Blundon
5bacf9fbca talos multipath patch 2026-06-29 20:49:57 -05:00
Ryan Blundon
1da9bfd43c talos 2026-06-25 10:02:16 -05:00
Ryan Blundon
0bc9b2e788 Continued talos multipath troubleshooting. 2026-06-22 22:30:35 -05:00
Ryan Blundon
dcfb6825e8 Talos multipath. 2026-06-22 20:40:06 -05:00
Ryan Blundon
0b9ac4dc74 Pre-upgrade snapshot: Talos v1.13.2, before multipath implementation 2026-06-22 18:39:35 -05:00
Hermes Agent service account
aabf758c91 Add multipath.conf for Pure FlashArray to Talos worker nodes 
- Add /etc/multipath.conf file creation in worker patches
- Configuration optimized for Pure FlashArray iSCSI
- Required for PX-CSI node pods to start successfully
- Blacklists Portworx virtual devices (pxd*)

Ref: Portworx → democratic-csi migration Phase 3
 2026-06-22 16:53:38 -05:00
Hermes Agent service account
489b8aeb35 WIP: iscsi-multipath-init DaemonSet attempts 
Successfully writes /system/etc/multipath.conf but cannot write to /etc
due to Talos read-only filesystem restrictions.

Attempts made:
- nsenter with sh/cat/ln - commands don't exist in Talos minimal env
- Mount /proc/1/root/etc - still read-only
- Bind mount - invalid argument

Blocker: Talos /etc is truly read-only post-boot. PX-CSI also fails
with same nsenter/command issues when trying to validate multipath.conf.

Next: Investigate PX-CSI configuration options or Talos machine config alternatives.
 2026-06-21 00:11:18 -05:00
Hermes Agent service account
002d6799b1 Fix iscsi-multipath-init DaemonSet for Talos read-only filesystem 
Use nsenter to write multipath.conf in host's mount namespace instead
of trying to write to /host/etc which is read-only in containers.

Talos mounts /etc as read-only in container namespaces but allows writes
in the host mount namespace. This fix uses nsenter to access PID 1's
mount namespace where /etc is writable.

Also removed unnecessary volumeMounts and volumes since we're using
nsenter instead of hostPath mounts.

Fixes: Init:Error - 'can't create /host/etc/multipath.conf: Read-only file system'
 2026-06-20 23:56:20 -05:00
Hermes Agent service account
150cef1aca Add task completion summary for jungle-cruise recovery 
Comprehensive summary of diagnosis, fix, and recovery status.
Documents what was accomplished, current blockers, and next steps
for operations team to complete recovery.
 2026-06-20 22:13:00 -05:00
Hermes Agent service account
a30ad99ee4 Add jungle-cruise recovery documentation 
Documents root cause analysis and recovery procedure for jungle-cruise
node failure after applying multipath.conf via machine.files.

Includes three recovery options depending on available credentials:
- Apply fixed config (requires talosctl + existing configs)
- Force reboot (quickest)
- Full regeneration (requires SOPS keys)
 2026-06-20 22:11:44 -05:00
Hermes Agent service account
d2b6d95a49 Revert multipath.conf from machine.files 
Removes /etc/multipath.conf from machine.files section which causes
jungle-cruise boot failure. This reverts the problematic change from
commit adc415e.

Root cause: Writing /etc/multipath.conf during early boot via machine.files
causes writeUserFiles to fail on read-only filesystem.

Solution: Use DaemonSet (iscsi-multipath-init.yaml) to write multipath.conf
after boot when filesystem is fully writable.

Fixes: jungle-cruise NotReady status (kubelet stopped posting)
 2026-06-20 22:07:34 -05:00
Hermes Agent service account
adc415e95a Add multipath.conf for PX-CSI node driver 
PX-CSI requires /etc/multipath.conf to exist on nodes.
Adding Pure Storage FlashArray multipath configuration via Talos machine files.

This fixes node-plugin crash: '/etc/multipath.conf not found'
 2026-06-20 21:56:06 -05:00
Hermes Agent service account
e8303d5129 Fix Talos iSCSI configuration for Portworx CSI 
Root cause: Previous config violated boot-time security model
- Removed /etc/iscsi mount (iscsi-tools extension manages it)
- Moved multipath.conf to post-boot DaemonSet
- Added explicit kubelet nodeIP for dual-NIC workers

Deliverables:
- Fixed talconfig.yaml with working worker patch
- iscsi-multipath-init.yaml DaemonSet for multipath config
- Automated deployment and verification scripts
- Complete documentation suite

Ready for production deployment to fastpass worker nodes.

Co-authored-by: Talos Specialist <subagent@hermes>
 2026-06-20 21:18:48 -05:00
Hermes Agent service account
f37021346b Enable iSCSI support for Portworx CSI 
- Add dm_round_robin kernel module for Pure Storage multipath
- Uncomment and enable /etc/multipath.conf with Pure-specific settings
- Add apply-iscsi-config.sh script for rolling worker node updates
 2026-06-20 20:25:08 -05:00
Hermes Agent service account
5a99928c6f Add ServiceMonitors and Grafana dashboards for Harbor, External-DNS, and Ingress-NGINX 
- Created ServiceMonitor for Harbor (harbor-core, harbor-exporter, harbor-jobservice, harbor-registry)
  - Port: http-metrics (8001)
  - Scrape interval: 30s
  - Verified metrics: harbor_core_http_request_duration_seconds_count

- Created ServiceMonitor for External-DNS
  - Port: http (7979)
  - Scrape interval: 30s
  - Verified metrics: external_dns_registry_endpoints_total

- Created ServiceMonitor for Ingress-NGINX
  - Port: metrics (10254)
  - Scrape interval: 30s
  - Verified metrics: nginx_ingress_controller_requests

- Added Grafana dashboards:
  - Harbor Overview (dashboard 16366)
  - External-DNS (dashboard 15038)
  - Ingress-NGINX Controller (dashboard 9614)

All ServiceMonitors deployed and actively scraping. Prometheus targets confirmed UP.
 2026-06-19 18:26:54 -05:00
Hermes Agent service account
59c83c296b Add Pure FlashArray Grafana dashboard 
- Add official Pure Storage FlashArray Overview dashboard (v1.0.6) as ConfigMap
- Dashboard source: github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter
- Auto-discovered by Grafana sidecar via grafana_dashboard label
- Update ServiceMonitor to add required labels for dashboard compatibility:
  - instance: utilidor (array identifier expected by dashboard)
  - env: production (dashboard template variable requirement)
  - location: homelab (optional dashboard filter)
  - site: main (optional dashboard filter)
- Dashboard includes array capacity, performance, volume stats, host connectivity
 2026-06-19 17:58:45 -05:00
Hermes Agent service account
b6cb031edb Add deployment summary for Pure FlashArray exporter 2026-06-19 17:50:25 -05:00
Hermes Agent service account
cb5ffc16d8 Add Pure FlashArray OpenMetrics exporter to monitoring namespace 
- Deploy purestorage/pure-fa-om-exporter:v1.0.27 container
- Configure API token secret for utilidor FlashArray (jarvis user)
- Expose /metrics endpoint via ClusterIP service on port 9490
- ServiceMonitor for kube-prometheus-stack auto-discovery
- ArgoCD application for GitOps deployment (wave 3)
- Scrape interval: 60s (storage metrics low frequency)
- Resource limits: 200m CPU / 128Mi memory

Provides pure_* metrics namespace for FlashArray capacity, performance,
volume stats, host connectivity, etc.
 2026-06-19 17:48:20 -05:00
Hermes Agent service account
f375c9567f Switch Portworx deployment to manifest-based 
Remove Helm chart source (repo URL invalid). Deploy via manifests only.
Operator must be installed separately via kubectl apply.
 2026-06-18 23:16:36 -05:00
Hermes Agent service account
f0400c02b6 Fix Portworx Helm repo URL and bump to v26.2 
- Update repoURL to correct Portworx Helm chart location
- Bump version from 25.0.0 to 26.2.0 (latest per docs)
 2026-06-18 23:09:35 -05:00
Hermes Agent service account
d1d7331238 Fix portworx-csi ArgoCD Application manifest 
Remove invalid syncWaves field from syncPolicy - sync wave is controlled via annotation
 2026-06-18 23:08:55 -05:00
Hermes Agent service account
459dbc5d18 Add Portworx CSI driver for Pure Storage FlashArray 
- Deploy Portworx Operator + CSI driver via ArgoCD
- Support both iSCSI block and NFS file storage from FlashArray
- Integrate with 1Password External Secrets for FlashArray credentials
- Include comprehensive deployment documentation and validation script
- Storage classes: pure-block (iSCSI) and pure-file (NFS)
- Talos Linux compatible with iSCSI/multipath configuration
 2026-06-18 23:08:29 -05:00
Ryan Blundon
a4a68eeb5a updated talos config for iscsi 2026-06-18 23:01:40 -05:00
Hermes Agent service account
99958979d6 Add Talos upgrade and system extensions documentation 
- Add comprehensive UPGRADES-AND-EXTENSIONS.md guide covering:
  - System extensions via schematics and Image Factory
  - Talos version upgrade procedures (control plane + workers)
  - Kubernetes version upgrades
  - Rolling upgrade best practices
  - Troubleshooting common upgrade issues
- Add rolling-upgrade-workers.sh script for automated worker upgrades
- Includes safe wait times and confirmation prompts
 2026-06-18 22:38:33 -05:00
Hermes Agent service account
0e4d229df2 docs(signal-cli): document K8s networking limitation and current astro-orbiter production setup 
- Production gateway on astro-orbiter VM working correctly
- K8s deployment ready but cannot complete Signal registration
- Signal servers reject WebSocket connections from K8s cluster network path
- Document migration procedure for when astro-orbiter is decommissioned
 2026-06-17 23:48:17 -05:00
Hermes Agent service account
53883108d8 fix(signal-cli): run daemon in multi-account mode without --account flag 
- Remove --account flag to let signal-cli auto-detect registered accounts
- Multi-account mode will find the registered +126****8840 account automatically
 2026-06-17 23:15:53 -05:00
Hermes Agent service account
fcbf6ce092 fix(signal-cli): correct PVC mount path to /var/lib/signal-cli 
- Mount PVC root at /var/lib/signal-cli (where data/ directory exists)
- Previous path /home/.local/share/signal-cli was incorrect nested structure
 2026-06-17 23:13:18 -05:00
Hermes Agent service account
cf21863b0f fix(signal-cli): use bbernhard image with native signal-cli entrypoint override 
- Use bbernhard/signal-cli-rest-api:latest (known working image)
- Override command to run /usr/bin/signal-cli directly in daemon HTTP mode
- Bypasses REST API wrapper to expose native JSON-RPC endpoint at /api/v1/rpc
 2026-06-17 23:10:39 -05:00
Hermes Agent service account
653a923fa8 fix(signal-cli): use asamk/signal-cli official image with correct paths 
- Switch from non-existent GitLab registry image to official asamk/signal-cli:v0.14.5
- Maintain data path at /home/.local/share/signal-cli (where data was copied from astro-orbiter)
- Remove unnecessary command override, let entrypoint handle signal-cli execution
 2026-06-17 23:06:18 -05:00
Hermes Agent service account
13c819e66c feat(signal-cli): switch to native signal-cli daemon with JSON-RPC HTTP endpoint 
- Replace bbernhard/signal-cli-rest-api wrapper with native signal-cli 0.14.5
- Run signal-cli daemon in HTTP mode matching astro-orbiter working config
- Expose JSON-RPC API at /api/v1/rpc for Hermes gateway compatibility
- Switch health probes from HTTP /v1/health to TCP port check
- Maintain existing PVC mount path /home/.local/share/signal-cli

This fixes the missing /api/v1/rpc endpoint that Hermes requires for
Signal message delivery.
 2026-06-17 23:03:35 -05:00
Hermes Agent service account
28a653b203 feat(signal-cli): upgrade to latest image for signal-cli 0.14.x compat 2026-06-12 17:26:46 -05:00
Hermes Agent service account
cf7ab7fbe6 feat(signal-cli): enable hostNetwork for Signal WebSocket connectivity 2026-06-12 17:07:03 -05:00
Hermes Agent service account
12d0a75b3a docs(signal-cli): Add deployment documentation 
Document infrastructure setup, TLS configuration, and SSL certificate status
for the Signal CLI REST API deployment at connections.local.mk-labs.cloud
 2026-06-12 16:56:13 -05:00
Hermes Agent service account
668e86d7c2 feat(connections): Add Ingress with TLS and reorganize to applications/signal-cli 
- Move manifests from cluster/platform/connections to cluster/applications/signal-cli
- Add Ingress for connections.local.mk-labs.cloud with cert-manager TLS
- Update ArgoCD application path to cluster/applications/signal-cli
- Configure letsencrypt-prod cluster issuer for automatic TLS certificates

This enables external HTTPS access to the Signal CLI REST API for Hermes
notifications with automatic certificate management.
 2026-06-12 16:52:56 -05:00
Ryan Blundon
0fb593a313 change application name and deployment location 2026-06-12 16:42:33 -05:00
Hermes Agent service account
b5dc130207 fix(connections): correct deployment naming per mk-labs convention 
Deployment name: connections → signal-cli-rest-api (what it IS)
Service name: connections (unchanged - Epcot-themed role)

Updated labels throughout deployment and service selector to match.
 2026-06-12 16:18:34 -05:00
Hermes Agent service account
0efa1e5125 fix(connections): Use baseline pod security to allow container initialization 
- Set namespace pod-security.kubernetes.io/enforce to baseline
- Remove restrictive container securityContext
- Allows signal-cli-rest-api container to run its entrypoint script
  which requires user/group modification capabilities
 2026-06-12 15:58:15 -05:00
Hermes Agent service account
34e05725dd fix(connections): Add security context and disable UID/GID modification 
- Add container securityContext to satisfy PodSecurity policy
- Set SIGNAL_CLI_UID/GID to 0 to disable user modification attempts
- Fixes CrashLoopBackOff due to groupmod permission denied
 2026-06-12 15:55:49 -05:00
Hermes Agent service account
b6b1bee25c fix(connections): Remove securityContext causing container startup failure 
The signal-cli-rest-api container's entrypoint script requires
privileges to modify user/group settings. Removing securityContext
allows the container to run with its default settings.
 2026-06-12 15:54:21 -05:00
Hermes Agent service account
3b3461fd3c feat(platform): Add connections (signal-cli-rest-api) service 
- Deploy signal-cli-rest-api 0.85 for Hermes Signal notifications
- Replace broken astro-orbiter VM (10.1.71.130:8080) with K8s service
- ArgoCD-managed GitOps deployment in connections namespace
- NFS-backed persistent storage for signal-cli state
- Fixes UNREGISTERED_FAILURE affecting midday market cron job
- Epcot-themed service (communication pavilion concept)

Service endpoint: http://connections.connections.svc.cluster.local:8080
 2026-06-12 15:52:49 -05:00
Hermes Agent service account
7cbed63c92 refactor(couchdb): move raw manifests to templates/ subdir 
Per Tony's recommendation — eliminates the explicit include filter.
New manifests go in templates/ and are picked up automatically by ArgoCD.
No filter to update when adding future resources.

Moved: namespace.yaml, externalsecret.yaml, ingress-public.yaml -> templates/
 2026-06-07 20:57:18 -05:00
Hermes Agent service account
a008e766f2 fix(couchdb): add ingress-public.yaml to ArgoCD include filter 2026-06-07 20:51:17 -05:00
Hermes Agent service account
543394a825 feat(couchdb): split internal/external ingress for correct CN per cert 
- values.yaml: internal ingress only (communicore.local.mk-labs.cloud)
  CN=communicore.local.mk-labs.cloud, secret=couchdb-tls
- ingress-public.yaml: external ingress (communicore.mk-labs.cloud)
  CN=communicore.mk-labs.cloud, secret=couchdb-tls-public
  ExternalDNS opt-in annotations for Cloudflare -> ingress.mk-labs.cloud

Obsidian Sync connects externally via communicore.mk-labs.cloud;
JARVIS traffic stays internal on communicore.local.mk-labs.cloud.
 2026-06-07 20:44:52 -05:00
Hermes Agent service account
23d6d75117 fix(external-dns): remove invalid --target extraArg from Technitium instance 2026-06-07 19:17:19 -05:00
Hermes Agent service account
86433a58d0 fix(external-dns): remove invalid --target flag, move to per-resource annotation 
ExternalDNS v0.15.1 does not support --target as a CLI flag.
Remove the extraArgs stanza from external-dns-cloudflare values.yaml
and instead add the target annotation directly on the CouchDB ingress:
  external-dns.alpha.kubernetes.io/target: ingress.mk-labs.cloud

This achieves the same result (Cloudflare CNAME -> ingress.mk-labs.cloud)
without crashing the controller.
 2026-06-07 19:08:15 -05:00
Hermes Agent service account
3344e24a48 fix(external-dns-cloudflare): correct target to ingress.mk-labs.cloud 2026-06-07 19:03:48 -05:00
Hermes Agent service account
2621bc9f36 fix(external-dns): exclude internal records from Cloudflare, add opt-in filter, set targets 
- external-dns-cloudflare: add excludeDomains: [local.mk-labs.cloud] to stop
  internal subdomain records from leaking to Cloudflare
- external-dns-cloudflare: replace hostname annotationFilter with opt-in model
  (external-dns.alpha.kubernetes.io/public=true) so only explicitly tagged
  services get public Cloudflare records
- external-dns-cloudflare: add extraArgs --target=lb.mk-labs.cloud
- external-dns (Technitium/rfc2136): add extraArgs
  --target=lightning-lane.local.mk-labs.cloud for internal records
- couchdb: add external-dns.alpha.kubernetes.io/public: 'true' annotation —
  first service to opt in to public DNS; will create communicore.mk-labs.cloud
  pointing to lb.mk-labs.cloud via Cloudflare ExternalDNS

URGENT: Cloudflare was creating records for local.mk-labs.cloud hosts.
Ryan: manually delete any *.local.mk-labs.cloud records currently in Cloudflare
(look for communicore.local.mk-labs.cloud and any other local.* entries).
 2026-06-07 18:57:59 -05:00
Hermes Agent service account
72de87c8c4 platform: add external-dns-cloudflare for public mk-labs.cloud zone 
Deploy a second ExternalDNS instance targeting Cloudflare to manage
public DNS records in the mk-labs.cloud zone. The existing Technitium
(rfc2136) instance handling local.mk-labs.cloud is unchanged.

Components:
- application.yaml: ArgoCD Application, wave 6, namespace external-dns-cloudflare
- values.yaml: Cloudflare provider, domainFilters: mk-labs.cloud, txtOwnerId: fastpass
- externalsecret.yaml: ExternalSecret pulling CF_API_TOKEN from 1Password

PREREQUISITE (manual): Ryan must create the following in 1Password before
the ExternalSecret will sync:
  Item name:  cloudflare-external-dns
  Field name: api-token
  Value:      Cloudflare API token with DNS Edit on mk-labs.cloud

Until then, the ExternalSecret will show SecretSyncedError — expected.
 2026-06-07 18:41:35 -05:00
Ryan Blundon
0ef9703757 Add external url to couchdb 2026-06-07 18:28:18 -05:00
Hermes Agent service account
d77d213d89 fix(semaphore): add ANSIBLE_COLLECTIONS_PATH to default environment 
Semaphore runs ansible-playbook from the repo root, so ansible.cfg in
ansible/ is never loaded. The env var is the reliable path.

Also persists the setting in group_vars so semaphore_configure re-runs
don't regress it.
 2026-06-07 17:10:38 -05:00
Hermes Agent service account
e793794fdd fix(ansible): set collections_path to /opt/ansible-collections in ansible.cfg 
Semaphore clones the repo and runs ansible-playbook from the working
directory, so ansible.cfg is loaded automatically. This is more
reliable than env vars inherited through podman exec subprocesses.

/opt/ansible-collections is bind-mounted into the container and
populated by the semaphore role's collections task.
 2026-06-07 16:58:25 -05:00
Hermes Agent service account
d1ae5ba7a0 fix(semaphore/collections): set collections dir owner to semaphore container uid (1001) 
Host dir was owned by root (0755), blocking writes from uid=1001 inside
the container. Set owner to semaphore_container_uid=1001 so podman exec
can write collections into the bind-mount.
 2026-06-07 16:48:45 -05:00
Hermes Agent service account
84e30c8ee2 fix(semaphore/collections): remove :ro from bind-mount, fix ANSIBLE_COLLECTIONS_PATH 
- Removed :ro from volume mount — ansible-galaxy writes via podman exec
  into the container, so the mount must be writable during role runs
- Fixed deprecated ANSIBLE_COLLECTIONS_PATHS -> ANSIBLE_COLLECTIONS_PATH
 2026-06-07 16:48:06 -05:00
Hermes Agent service account
644128cd3f fix(semaphore/collections): mount to /opt/ansible-collections, set ANSIBLE_COLLECTIONS_PATHS 
/home/semaphore/.ansible/ is owned by root after Podman creates the
bind-mount dir, so ansible-galaxy can't create sibling tmp dirs.
Mount to a neutral /opt/ansible-collections path and point Ansible
at it via ANSIBLE_COLLECTIONS_PATHS env var instead.
 2026-06-07 16:47:15 -05:00
Hermes Agent service account
6912f5c55d fix(semaphore/collections): run ansible-galaxy inside container via podman exec 
Binary lives inside the container at /opt/semaphore/apps/ansible/<ver>/venv/bin/.
Use podman exec to run the install, writing to /home/semaphore/.ansible/collections
which is bind-mounted from the host-side directory.
 2026-06-07 16:45:42 -05:00
Hermes Agent service account
fc0e39b9c7 fix(semaphore/collections): use full ansible-galaxy path from Semaphore venv 
ansible-galaxy is not on the system PATH on figment — Semaphore manages
its own venv under /opt/semaphore/apps/ansible/<ver>/venv/bin/.
Discover the binary dynamically rather than relying on PATH.
 2026-06-07 16:45:16 -05:00
Hermes Agent service account
8627b00ed8 feat(semaphore): install Ansible collections via bind-mounted host directory 
- New tasks/collections.yml installs collections from defaults list
  into /opt/semaphore/ansible-collections on the host
- semaphore.container.j2: bind-mounts that dir into the container at
  /home/semaphore/.ansible/collections (read-only)
- defaults/main.yml: semaphore_collections_dir + semaphore_ansible_collections
  list (containers.podman, effectivelywild.technitium_dns)
- main.yml: collections task wired in after semaphore.yml, before verify
- Collections survive container restarts/rebuilds without image changes
- Re-run with --tags collections to add new collections without full redeploy
 2026-06-07 16:44:50 -05:00
Hermes Agent service account
0212f0fdd2 Revert "fix(playbooks): replace effectivelywild.technitium_dns collection with ansible.builtin.uri" 
This reverts commit edfe594e7e.
 2026-06-07 16:39:07 -05:00
Hermes Agent service account
edfe594e7e fix(playbooks): replace effectivelywild.technitium_dns collection with ansible.builtin.uri 
Collection not installed in Semaphore's Ansible environment.
Direct HTTP API call to Technitium on :5380 is simpler, has no
collection dependency, and is naturally idempotent (add returns ok
on duplicate records).
 2026-06-07 16:17:05 -05:00
Hermes Agent service account
791f13fca5 fix(traefik): correct astro-orbiter → carousel-of-progress in jarvis.yml header 2026-06-07 16:13:48 -05:00
Hermes Agent service account
c3248fde1f feat(traefik): add TCP SSH entrypoints for Gitea (2221) and JARVIS (10171) 
- New entrypoints: gitea-ssh/:2221, jarvis-ssh/:10171
- Expose both ports from the Traefik container
- gitea.yml: TCP passthrough router -> 10.1.71.129:2221
- jarvis.yml: TCP passthrough router -> 10.1.71.131:22
- Both use HostSNI(*) — dedicated entrypoints, no TLS wrapping needed
- UniFi to forward both ports to lightning-lane
 2026-06-07 16:10:30 -05:00
Hermes Agent service account
c137ea0881 fix(firecrawl): Change Playwright probes from HTTP to TCP 
Playwright service doesn't expose a health endpoint at /, causing HTTP
probes to fail with 404. Switch to tcpSocket probes which simply verify
the port is listening. Service is already confirmed running on port 3000.
 2026-06-06 19:13:36 -05:00
148 changed files with 23517 additions and 480 deletions
Expand all files Collapse all files

160
COUCHDB-ERLANGCOOKIE-FIX.md Normal file
View File

@@ -0,0 +1,160 @@
# CouchDB erlangCookie Fix - Implementation Guide
## Summary
**Problem**: CouchDB deployment fails because `erlangCookie` is missing from the ExternalSecret configuration.
**Decision**: Externalize `erlangCookie` to 1Password (pragmatic approach)
**Rationale**:
- ExternalSecret architecture requires ownership of the entire secret
- Mixing externalized and chart-generated fields in the same secret is not supported
- Single-node deployment makes erlangCookie rotation unnecessary
- This is an acceptable deviation from the pure Harbor pattern given the architectural constraints
## Implementation Steps
### 1. Generate erlangCookie Value
```bash
openssl rand -hex 20
```
Example output: `f4e3c2b1a9d8e7f6c5b4a3d2e1f0a9b8c7d6e5f4`
### 2. Add to 1Password
- **Vault**: `mk-labs`
- **Item**: `couchdb`
- **Field Name**: `erlang-cookie`
- **Field Type**: password (concealed)
- **Value**: `<paste generated value from step 1>`
### 3. Update ExternalSecret Configuration
File: `cluster/applications/couchdb/externalsecret.yaml`
```yaml
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: couchdb-credentials
namespace: couchdb
labels:
app.kubernetes.io/name: couchdb
app.kubernetes.io/part-of: mk-labs
spec:
refreshInterval: 1h
secretStoreRef:
kind: ClusterSecretStore
name: onepassword-connect
target:
name: couchdb-admin
creationPolicy: Owner
template:
engineVersion: v2
data:
adminUsername: "admin"
adminPassword: "{{ .adminPassword }}"
cookieAuthSecret: "{{ .cookieAuthSecret }}"
erlangCookie: "{{ .erlangCookie }}" # ← ADD THIS LINE
data:
- secretKey: adminPassword
remoteRef:
key: couchdb
property: admin-password
- secretKey: cookieAuthSecret
remoteRef:
key: couchdb
property: cookie-auth-secret
- secretKey: erlangCookie # ← ADD THIS BLOCK
remoteRef:
key: couchdb
property: erlang-cookie
```
### 4. Update values.yaml Documentation (Optional)
File: `cluster/applications/couchdb/values.yaml`
Update the comment block at line 9-10:
```yaml
# Admin credentials managed via ExternalSecret
# See externalsecret.yaml for 1Password integration
#
# NOTE: erlangCookie is externalized to 1Password for architectural
# simplicity (ExternalSecret ownership model). In a pure Harbor pattern,
# this would be chart-generated, but single-node deployment makes this
# acceptable. The erlangCookie is treated as an immutable infrastructure
# secret (generate once, never rotate).
createAdminSecret: false
extraSecretName: "couchdb-admin"
```
### 5. Commit and Push
```bash
cd ~/git/homelab
git add cluster/applications/couchdb/externalsecret.yaml
git add cluster/applications/couchdb/values.yaml # if modified
git commit -m "fix(couchdb): add erlangCookie to ExternalSecret from 1Password"
git push origin main
```
### 6. Verify Deployment
```bash
# Watch ExternalSecret sync
kubectl get externalsecret -n couchdb couchdb-credentials -w
# Wait for: SecretSynced
# Verify secret created with all four keys
kubectl get secret -n couchdb couchdb-admin -o yaml
# Should contain: adminUsername, adminPassword, cookieAuthSecret, erlangCookie
# Watch ArgoCD sync
kubectl get application -n argocd couchdb -w
# Wait for: Healthy/Synced
# Watch pod startup
kubectl get pods -n couchdb -w
# Wait for: Running
# Test CouchDB access
kubectl port-forward -n couchdb svc/couchdb-svc-couchdb 5984:5984 &
curl http://localhost:5984/
# Expected: {"couchdb":"Welcome","version":"3.5.1"}
```
## Why Not Follow Harbor Pattern Exactly?
**Harbor Pattern**: Only user-facing credentials externalized, internal secrets chart-generated.
**CouchDB Constraint**: ExternalSecret uses `creationPolicy: Owner`, which takes full ownership of the target secret. This prevents the Helm chart from adding auto-generated fields to the same secret.
**Options Considered**:
1. ✅ **Externalize erlangCookie** (SELECTED) - Works with current architecture
2. ❌ Chart auto-generation - Conflicts with ExternalSecret ownership
3. ❌ Dual-secret approach - Requires Helm chart customization
4. ❌ Disable ExternalSecret - Loses 1Password integration for admin password
**Decision**: Pragmatic approach wins. erlangCookie is treated as an infrastructure secret (generate once, never rotate), which is acceptable for a single-node deployment.
## Secret Classification
| Secret | Type | 1Password? | Rationale |
|------------------|---------------|------------|------------------------------------|
| adminUsername | User-facing | No* | Static value, hardcoded in template |
| adminPassword | User-facing | ✅ YES | User login credential |
| cookieAuthSecret | Gray area | ✅ YES | Session security, periodic rotation |
| erlangCookie | Internal | ✅ YES** | Architectural constraint |
\* Hardcoded in ExternalSecret template (not fetched from 1Password)
\*\* Pragmatic deviation from Harbor pattern due to ExternalSecret architecture
## References
- Full analysis: `/home/hermes/couchdb-erlangcookie-analysis.txt`
- Harbor pattern: `/home/hermes/harbor-simplification-complete.txt`
- CouchDB Helm chart: `apache/couchdb` v4.6.3

4
ansible/ansible.cfg
View File

@@ -54,7 +54,7 @@
# (pathspec) Colon-separated paths in which Ansible will search for collections content. Collections must be in nested *subdirectories*, not directly in these directories. For example, if ``COLLECTIONS_PATHS`` includes ``'{{ ANSIBLE_HOME ~ "/collections" }}'``, and you want to add ``my.collection`` to that directory, it must be saved as ``'{{ ANSIBLE_HOME} ~ "/collections/ansible_collections/my/collection" }}'``.
;collections_path=/Users/rblundon/.ansible/collections:/usr/share/ansible/collections
collections_path=/opt/ansible-collections:/usr/share/ansible/collections
# (boolean) A boolean to enable or disable scanning the sys.path for installed collections.
;collections_scan_sys_path=True
@@ -262,7 +262,7 @@ roles_path=./roles
# (path) The vault password file to use. Equivalent to ``--vault-password-file`` or ``--vault-id``.
# If executable, it will be run and the resulting stdout will be used as the password.
;vault_password_file=
vault_password_file=/home/hermes/.vault_pass.txt
# (integer) Sets the default verbosity, equivalent to the number of ``-v`` passed in the command line.
;verbosity=0

3
ansible/group_vars/all/semaphore.yml
View File

@@ -104,6 +104,9 @@ semaphore_config:
# from the playbook's directory as I first assumed). Path is
# therefore relative to repo root, not playbook dir.
ANSIBLE_ROLES_PATH: "ansible/roles"
# Collections are installed by the semaphore role into a host-side
# directory bind-mounted into the container at this path.
ANSIBLE_COLLECTIONS_PATH: "/opt/ansible-collections"
templates:
- name: "day0_linux_baseline"

6
ansible/group_vars/all/vars
View File

@@ -39,3 +39,9 @@ step_ca_principal_mappings:
- ryan.blundon@protonmail.com
- ryan.blundon
- ryanblundon
# Leviton My Leviton API
leviton_email: "{{ vault_leviton_email }}"
leviton_password: "{{ vault_leviton_password }}"
jmri_vnc_password: "{{ vault_jmri_vnc_password }}"

799
ansible/group_vars/all/vault
View File

@@ -1,436 +1,365 @@
$ANSIBLE_VAULT;1.1;AES256
65653162653536373535643935613236366335356333336264346637323164633739633965656664
3434656433323239366665356134386564643135663135360a653232636463656332343565313763
61326635636333393730356131356466363063613734653565643766383431363166656532393934
3631373264353563650a616362633165666239323563623161656238633737316236303133313034
66353461643535373638616364663365643961656635643566613336633466343739386234313532
38353066313763643266623739366261646633363962336239623830613265383335383763376534
62653865626662383330656530336534366136313965373764353133326139623132646364396337
33333366366434393037373361376538376334336265663162336239646237306332623039343032
37333832383762663534643638666234623062373734626335323537616334303638376164656634
64623962313064363166383930636136383935613237613434373733383836666532363265643739
37376333363736326334383864633734393263623536393239393564643131616132373230356633
61636165333537356632303034346431353139383065393832323236626331353236666263376666
38306631653862343064656135396638636363613139373062653735366565376165353330636162
38653530366263356437323433653437373362356166633235386330623333326264333961643434
30323130613431353064393138303465316630383462653062326264393035393735396134396665
36383963633938363662633035626538663366323461656136323934353731626264396364643337
63356337343161366237353135313966616630316362396362343962356564643365626664633165
62383765303436303239376365316632353463666664306164313933346162343833303963313835
62353565333231646462383664356230623165363333653335343438346233316534333132366634
31326138663433663132393761343335656636366237656337666331633062303363633938303536
31303238323932336330363064323963306132633961313634616232636163353439363666623230
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15
ansible/host_vars/astro-orbiter/vars.yml
View File

@@ -2,11 +2,14 @@
# ------------------------------------------------------------------------------
# FILE: ansible/host_vars/astro_orbiter/vars.yml
# HOST: astro-orbiter (10.1.71.130)
# ROLE: Ollama inference host with AMD RX 5700 GPU passthrough
# ROLE: llama.cpp LLM inference host — Ryzen 7 5800XT / RTX 3090 (ATX rebuild,
# 2026-08-04). Superseded the prior AMD RX 5700 / Ollama config below;
# drive was transplanted into new hardware, not reinstalled.
# ------------------------------------------------------------------------------
ansible_host: 10.1.71.130
ansible_user: wed
ansible_user: jarvis
ansible_ssh_private_key_file: ~/.ssh/id_jarvis
ansible_become: true
# LVM root expansion — xlarge template uses sda3 partition, standard VG/LV names
@@ -15,11 +18,3 @@ common_root_pv: /dev/sda3
common_root_vg: ubuntu-vg
common_root_lv: ubuntu-lv
# Ollama — all defaults apply; explicitly documented here for visibility
ollama_rocm_version: "6.2"
ollama_default_model: "qwen3:8b"
ollama_hsa_override_gfx_version: "10.1.0"
ollama_data_disk: /dev/sdb
ollama_data_vg: ollama-vg
ollama_data_lv: ollama-lv
ollama_data_dir: /var/lib/ollama

16
ansible/host_vars/main-street-station/main.yml Normal file
View File

@@ -0,0 +1,16 @@
---
# Host-specific vars for main-street-station (JMRI headless server)
# LCRR - Lake Country Railroad, Milwaukee Road Oct 1956, HO scale
# JMRI profile ID — find with: ls ~/.jmri/profiles/ on the old box
# Format: <name>.<8-char-hex> e.g. LCRR.3d3f1dfc
# TODO: fill in after restoring config from GitHub backup
jmri_profile_id: ""
# USB serial device for NCE command station
# Verify after install: ls -la /dev/ttyUSB* /dev/ttyACM*
jmri_serial_device: /dev/ttyUSB0
# Path to JMRI config backup for restore task (leave empty to skip)
# Point at a local checkout of the LCRR GitHub repo
jmri_config_src: ""

10
ansible/host_vars/main-street-station/vars.yml Normal file
View File

@@ -0,0 +1,10 @@
---
# main-street-station — JMRI / LCRR server
jmri_profile_id: "Lake_Country_Railroad.3e8b1d4b"
jmri_lcrr_repo: "ssh://git@gitea.mk-labs.cloud:2221/rblundon/LCRR.git"
jmri_lcrr_branch: "clean-profile"
jmri_leviton_email: "{{ leviton_email }}"
jmri_leviton_password: "{{ leviton_password }}"
jmri_ssh_authorized_key: "ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAINnSM/9fO8rz/amqkyoGUzUKNNzzmtSXPwOCr1O9zKNO ansible"
jmri_ssh_authorized_keys_extra:
- "ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIG6HaK4Y21UwPRbAZ986L7I9QnUdyq53114+9kO8X4bL rblundon@laptop"

17
ansible/inventory.yml
View File

@@ -59,12 +59,9 @@ n8n_server:
hosts:
tiki-room:
ollama_server:
astro_orbiter:
hosts:
astro-orbiter:
ansible_host: 10.1.71.130
ansible_user: wed
ansible_become: true
hermes_server:
hosts:
@@ -72,6 +69,7 @@ hermes_server:
ansible_host: 10.1.71.131
ansible_user: wed
ansible_become: true
ansible_ssh_private_key_file: ~/.ssh/ansible
honcho_server:
hosts:
@@ -80,6 +78,13 @@ honcho_server:
ansible_user: wed
ansible_become: true
jmri_server:
hosts:
main-street-station:
ansible_host: 192.168.10.40
ansible_user: wed
ansible_become: true
papermc_server:
# ansible-galaxy role install engonzal.papermc
hosts:
@@ -88,6 +93,10 @@ papermc_server:
dev_servers:
hosts:
scrim:
backstage:
ansible_host: 10.1.71.133
ansible_user: wed
ansible_become: true
# dhcp_server:
# hosts:

24
ansible/playbooks/day1_deploy_jmri.yml Normal file
View File

@@ -0,0 +1,24 @@
---
# ============================================================================
# day1_deploy_jmri.yml
# ----------------------------------------------------------------------------
# Deploys JMRI JmriFaceless headless server on main-street-station.
# Applies linux-baseline first, then the jmri role.
#
# Usage:
# ansible-playbook playbooks/day1_deploy_jmri.yml
# ansible-playbook playbooks/day1_deploy_jmri.yml -e target=main-street-station
#
# Prerequisites:
# 1. Host is in inventory under jmri_server group
# 2. jmri_profile_id is set in host_vars/main-street-station.yml
# 3. SSH access as 'wed' with sudo
# ============================================================================
- name: Deploy JMRI headless server
hosts: "{{ target | default('jmri_server') }}"
become: true
gather_facts: true
roles:
- linux-baseline
- jmri

25
ansible/playbooks/day1_deploy_llm_inference.yml Normal file
View File

@@ -0,0 +1,25 @@
---
# ------------------------------------------------------------------------------
# FILE: playbooks/day1_deploy_llm_inference.yml
# DESCRIPTION: Day 1 playbook for astro-orbiter LLM inference stack.
# Deploys vLLM + Gemma 2 27B on RTX 3090 via OCuLink.
#
# Usage:
# cd ~/git/homelab/ansible
# ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference.yml
#
# Phases (added incrementally — safe to re-run):
# 1. Foundation — groups, directories, vault assertion
# 2. Driver — nvidia-driver-595-open (idempotent; already installed)
# 3. vLLM — Python venv + pip install vllm
# 4. Model — HF login, Gemma 2 27B snapshot_download
# 5. Serve — systemd vllm-serve.service, health check
# 6. Integration — Hermes provider config on carousel
# ------------------------------------------------------------------------------
- name: Deploy LLM inference stack on astro-orbiter
hosts: astro_orbiter
gather_facts: true
roles:
- role: llm-inference

31
ansible/playbooks/day1_deploy_llm_inference_multimodel.yml Normal file
View File

@@ -0,0 +1,31 @@
---
# ------------------------------------------------------------------------------
# FILE: playbooks/day1_deploy_llm_inference_multimodel.yml
# DESCRIPTION: Day 1 playbook for the dual-model (aux + tool-calling) rollout
# on astro-orbiter. Builds on roles/llm-inference (CUDA/driver
# already done) — does not replace it.
#
# Usage:
# cd ~/git/homelab/ansible
# ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference_multimodel.yml
# # or scope to specific phases:
# ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference_multimodel.yml --tags discover
#
# KNOWN GAP (2026-08-05): Semaphore is currently broken; this is being run
# via direct ansible-playbook as an accepted interim stopgap. Retarget
# through Semaphore once it's repaired.
#
# Phases (see roles/llm-inference-multimodel/README.md for detail):
# 0. discover — read-only; confirm existing Gemma service management
# 1. models — idempotent GGUF downloads (Phi-4-14B, Mistral-Small-24B)
# 2. systemd — deploy both unit files, do NOT auto-start
# 3. firewall — scope ports 8000/8001, non-0.0.0.0 bind
# 4. verify — start both services, smoke test, VRAM check
# ------------------------------------------------------------------------------
- name: Deploy dual-model LLM inference stack on astro-orbiter
hosts: astro_orbiter
gather_facts: true
roles:
- role: llm-inference-multimodel

57
ansible/roles/jmri/defaults/main.yml Normal file
View File

@@ -0,0 +1,57 @@
---
# JMRI version to install
# Update both jmri_version AND jmri_build_hash together when upgrading.
# Find the build hash in the release asset filename on:
# https://github.com/JMRI/JMRI/releases
jmri_version: "5.16"
jmri_build_hash: "909e15189e"
jmri_install_dir: /opt/JMRI
jmri_download_url: "https://github.com/JMRI/JMRI/releases/download/v{{ jmri_version }}/JMRI.{{ jmri_version }}+R{{ jmri_build_hash }}.tgz"
# Service user
jmri_user: jmri
jmri_group: jmri
jmri_home: /home/jmri
# Profile — set per-host in host_vars
jmri_profile_id: ""
# LCRR git repo (set per-host in host_vars; leave blank to skip clone)
jmri_lcrr_repo: ""
jmri_lcrr_branch: "main"
# SSH key for jmri user (for jmri-gui X11 access — set per-host in host_vars)
jmri_ssh_authorized_key: ""
jmri_ssh_authorized_keys_extra: [] # additional keys (e.g. operator laptops)
# SSH key for jmri user → Gitea
jmri_gitea_key: /home/jmri/.ssh/id_ed25519_gitea
# Config restore source (legacy tar-based restore — leave blank to skip)
jmri_config_src: ""
# Ports (for documentation / firewall rules)
jmri_json_port: 12080
jmri_withrottle_port: 12090
# ---------------------------------------------------------------------------
# Phase 4 — Xpra virtual display
# Replaces TigerVNC with rootless Xpra — proper window management,
# persistent sessions, SSH-native attach (no VNC client needed).
# Connect from macOS/Linux: xpra attach ssh://jmri@main-street-station/100
# ---------------------------------------------------------------------------
jmri_xpra_display: "100"
# ---------------------------------------------------------------------------
# Phase 2 — Layout power monitor (Leviton Decora Smart Wi-Fi)
# ---------------------------------------------------------------------------
jmri_leviton_email: "" # set via group_vars (vault-backed)
jmri_leviton_password: "" # set via group_vars (vault-backed)
jmri_leviton_switch_name: "Layout"
jmri_monitor_poll_interval: 30 # seconds between polls (active hours)
jmri_monitor_quiet_start: 1 # hour (24h) to stop polling
jmri_monitor_quiet_end: 10 # hour (24h) to resume polling
jmri_monitor_stop_delay: 30 # seconds of OFF state before stopping JMRI

32
ansible/roles/jmri/handlers/main.yml Normal file
View File

@@ -0,0 +1,32 @@
---
- name: Reload udev
ansible.builtin.command: udevadm control --reload-rules
changed_when: false
- name: Trigger udev
ansible.builtin.command: udevadm trigger --subsystem-match=tty
changed_when: false
- name: Reload systemd
ansible.builtin.systemd:
daemon_reload: true
- name: Restart jmri-monitor
ansible.builtin.systemd:
name: jmri-monitor
state: restarted
- name: Restart jmri
ansible.builtin.systemd:
name: jmri
state: restarted
- name: Restart jmri-xpra
ansible.builtin.systemd:
name: jmri-xpra
state: restarted
- name: Restart sshd
ansible.builtin.systemd:
name: ssh
state: restarted

13
ansible/roles/jmri/meta/main.yml Normal file
View File

@@ -0,0 +1,13 @@
---
galaxy_info:
role_name: jmri
author: JARVIS
description: Deploy JMRI JmriFaceless headless server as a systemd service
license: MIT
min_ansible_version: "2.12"
platforms:
- name: Ubuntu
versions:
- jammy
- noble
dependencies: []

388
ansible/roles/jmri/tasks/main.yml Normal file
View File

@@ -0,0 +1,388 @@
---
- name: Install Java runtime (full — required for GUI mode)
ansible.builtin.apt:
name:
- openjdk-21-jre
- openjdk-21-jdk
state: present
update_cache: true
- name: Create JMRI system group
ansible.builtin.group:
name: "{{ jmri_group }}"
state: present
system: true
- name: Create JMRI service user
ansible.builtin.user:
name: "{{ jmri_user }}"
group: "{{ jmri_group }}"
home: "{{ jmri_home }}"
shell: /bin/bash
system: true
create_home: true
state: present
- name: Deploy SSH authorized key for jmri user
ansible.posix.authorized_key:
user: "{{ jmri_user }}"
key: "{{ jmri_ssh_authorized_key }}"
state: present
when: jmri_ssh_authorized_key | length > 0
- name: Deploy extra SSH authorized keys for jmri user
ansible.posix.authorized_key:
user: "{{ jmri_user }}"
key: "{{ item }}"
state: present
loop: "{{ jmri_ssh_authorized_keys_extra }}"
- name: Add JMRI user to dialout group (serial device access)
ansible.builtin.user:
name: "{{ jmri_user }}"
groups: dialout
append: true
# ---------------------------------------------------------------------------
# Phase 1 — Stable USB device symlinks
# Creates /dev/jmri/loconet and /dev/jmri/nce via udev ID_SERIAL matching.
# ---------------------------------------------------------------------------
- name: Deploy udev rules for JMRI USB devices
ansible.builtin.template:
src: 99-jmri-devices.rules.j2
dest: /etc/udev/rules.d/99-jmri-devices.rules
owner: root
group: root
mode: '0644'
notify:
- Reload udev
- Trigger udev
# ---------------------------------------------------------------------------
# Phase 2 — LocoNet traffic monitor
# Installs jmri-monitor: watches /dev/jmri/loconet, starts/stops jmri.service
# ---------------------------------------------------------------------------
- name: Install python3-venv (monitor virtualenv support)
ansible.builtin.apt:
name: python3-venv
state: present
- name: Create virtualenv for jmri-monitor
ansible.builtin.command:
cmd: python3 -m venv /opt/jmri-monitor
creates: /opt/jmri-monitor/bin/python3
- name: Install decora_wifi into jmri-monitor virtualenv
ansible.builtin.pip:
name: decora_wifi
state: present
virtualenv: /opt/jmri-monitor
- name: Deploy jmri-monitor script
ansible.builtin.template:
src: jmri-monitor.py.j2
dest: /usr/local/bin/jmri-monitor
owner: root
group: root
mode: '0755'
notify: Restart jmri-monitor
- name: Deploy jmri-monitor systemd unit
ansible.builtin.template:
src: jmri-monitor.service.j2
dest: /etc/systemd/system/jmri-monitor.service
owner: root
group: root
mode: '0644'
notify:
- Reload systemd
- Restart jmri-monitor
- name: Enable jmri-monitor service
ansible.builtin.systemd:
name: jmri-monitor
enabled: true
state: started
daemon_reload: true
# ---------------------------------------------------------------------------
# Phase 2b — LCRR config repo (clone/pull .jmri from Gitea)
# ---------------------------------------------------------------------------
- name: Ensure jmri .ssh directory exists
ansible.builtin.file:
path: /home/jmri/.ssh
state: directory
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
mode: '0700'
- name: Deploy jmri SSH config for Gitea
ansible.builtin.copy:
dest: /home/jmri/.ssh/config
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
mode: '0600'
content: |
Host gitea.mk-labs.cloud
HostName gitea.mk-labs.cloud
User git
Port 2221
IdentityFile {{ jmri_gitea_key }}
StrictHostKeyChecking accept-new
- name: Clone LCRR config repo if not present
ansible.builtin.git:
repo: "{{ jmri_lcrr_repo }}"
dest: "{{ jmri_home }}/LCRR"
version: "{{ jmri_lcrr_branch }}"
accept_hostkey: true
key_file: "{{ jmri_gitea_key }}"
update: false
become_user: "{{ jmri_user }}"
when: jmri_lcrr_repo | length > 0
notify: Restart jmri
- name: Remove auto-generated .jmri dir if it exists (will be replaced by symlink)
ansible.builtin.file:
path: "{{ jmri_home }}/.jmri"
state: absent
when:
- jmri_lcrr_repo | length > 0
- name: Link .jmri config from LCRR repo
ansible.builtin.file:
src: "{{ jmri_home }}/LCRR/.jmri"
dest: "{{ jmri_home }}/.jmri"
state: link
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
force: true
when: jmri_lcrr_repo | length > 0
notify: Restart jmri
# ---------------------------------------------------------------------------
# JMRI install / upgrade — version-marker pattern
# Writes {{ jmri_install_dir }}/.jmri_installed_version after each install.
# On subsequent runs: read the marker, skip everything if it matches
# jmri_version. If it differs (or is absent), stop JMRI cleanly, wipe the
# old install, download the new archive, extract, and write the new marker.
# To upgrade: bump jmri_version + jmri_build_hash in defaults/main.yml (or
# host_vars) and re-run the playbook.
# ---------------------------------------------------------------------------
- name: Read installed JMRI version marker (if present)
ansible.builtin.slurp:
src: "{{ jmri_install_dir }}/.jmri_installed_version"
register: jmri_version_marker
ignore_errors: true
- name: Determine whether JMRI install/upgrade is needed
ansible.builtin.set_fact:
jmri_needs_install: >-
{{
jmri_version_marker is failed or
(jmri_version_marker.content | b64decode | trim) != jmri_version
}}
- name: Stop JMRI service before upgrade (if running)
ansible.builtin.systemd:
name: jmri
state: stopped
failed_when: false # service may not exist yet on first install
when: jmri_needs_install
- name: Remove existing JMRI install directory (upgrade path)
ansible.builtin.file:
path: "{{ jmri_install_dir }}"
state: absent
when: jmri_needs_install
- name: Remove stale JMRI archive from /tmp (if version changed)
ansible.builtin.file:
path: "/tmp/JMRI-{{ jmri_version }}.tgz"
state: absent
when: jmri_needs_install
- name: Download JMRI release archive
ansible.builtin.get_url:
url: "{{ jmri_download_url }}"
dest: /tmp/JMRI-{{ jmri_version }}.tgz
mode: '0644'
when: jmri_needs_install
- name: Create JMRI install directory
ansible.builtin.file:
path: "{{ jmri_install_dir }}"
state: directory
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
mode: '0755'
- name: Extract JMRI archive
ansible.builtin.unarchive:
src: /tmp/JMRI-{{ jmri_version }}.tgz
dest: "{{ jmri_install_dir }}"
remote_src: true
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
extra_opts: ['--strip-components=1']
when: jmri_needs_install
- name: Write installed version marker
ansible.builtin.copy:
content: "{{ jmri_version }}\n"
dest: "{{ jmri_install_dir }}/.jmri_installed_version"
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
mode: '0644'
when: jmri_needs_install
- name: Restore JMRI config from backup
ansible.builtin.copy:
src: "{{ jmri_config_src }}/"
dest: "{{ jmri_home }}/.jmri/"
owner: "{{ jmri_user }}"
group: "{{ jmri_group }}"
mode: '0644'
directory_mode: '0755'
when: jmri_config_src | length > 0
notify: Restart jmri
- name: Deploy JmriFaceless systemd unit
ansible.builtin.template:
src: jmri.service.j2
dest: /etc/systemd/system/jmri.service
owner: root
group: root
mode: '0644'
notify:
- Reload systemd
- Restart jmri
- name: Enable jmri service (monitor manages start/stop — do not start directly)
ansible.builtin.systemd:
name: jmri
enabled: false
daemon_reload: true
# ---------------------------------------------------------------------------
# Phase 3 — X11 remote GUI access (retained for fallback; VNC preferred)
# ---------------------------------------------------------------------------
- name: Install xauth (required for SSH X11 forwarding fallback)
ansible.builtin.apt:
name: xauth
state: present
- name: Remove old jmri X11 sshd drop-in if present (renamed)
ansible.builtin.file:
path: /etc/ssh/sshd_config.d/20-jmri-x11.conf
state: absent
notify: Restart sshd
- name: Deploy sshd drop-in to enable X11 forwarding (must load before hardening)
ansible.builtin.copy:
dest: /etc/ssh/sshd_config.d/09-jmri-x11.conf
owner: root
group: root
mode: '0644'
content: |
# Allow X11 forwarding for JMRI GUI sessions (jmri role)
# Must be numbered below 10-mk-labs-hardening.conf — first match wins.
X11Forwarding yes
X11UseLocalhost yes
notify: Restart sshd
# ---------------------------------------------------------------------------
# Phase 4 — Xpra virtual display
# Replaces TigerVNC. Rootless mode: each JMRI window appears as a native
# window on the client. Sessions are persistent across disconnects.
# Connect: xpra attach ssh://jmri@main-street-station/{{ jmri_xpra_display }}
# ---------------------------------------------------------------------------
- name: Remove TigerVNC (replaced by Xpra)
ansible.builtin.apt:
name: tigervnc-standalone-server
state: absent
notify: Reload systemd
- name: Disable and stop jmri-vnc service if present
ansible.builtin.systemd:
name: jmri-vnc
enabled: false
state: stopped
failed_when: false
- name: Remove jmri-vnc systemd unit if present
ansible.builtin.file:
path: /etc/systemd/system/jmri-vnc.service
state: absent
notify: Reload systemd
- name: Remove jmri VNC password directory if present
ansible.builtin.file:
path: "{{ jmri_home }}/.vnc"
state: absent
- name: Install xpra.org apt signing key
ansible.builtin.get_url:
url: https://xpra.org/gpg.asc
dest: /usr/share/keyrings/xpra.asc
mode: '0644'
- name: Add xpra.org upstream apt repository
ansible.builtin.copy:
dest: /etc/apt/sources.list.d/xpra.list
owner: root
group: root
mode: '0644'
content: |
deb [arch=amd64 signed-by=/usr/share/keyrings/xpra.asc] https://xpra.org/ noble main
- name: Install Xpra from upstream repo (v6.x)
ansible.builtin.apt:
name: xpra
state: latest
update_cache: true
- name: Deploy jmri-xpra systemd unit
ansible.builtin.template:
src: jmri-xpra.service.j2
dest: /etc/systemd/system/jmri-xpra.service
owner: root
group: root
mode: '0644'
notify:
- Reload systemd
- Restart jmri-xpra
- name: Enable and start jmri-xpra service
ansible.builtin.systemd:
name: jmri-xpra
enabled: true
state: started
daemon_reload: true
- name: Deploy jmri-gui script
ansible.builtin.template:
src: jmri-gui.j2
dest: /usr/local/bin/jmri-gui
owner: root
group: root
mode: '0755'
- name: Deploy sudoers drop-in for jmri-gui (wed can manage jmri service)
ansible.builtin.copy:
dest: /etc/sudoers.d/jmri-gui
owner: root
group: root
mode: '0440'
validate: 'visudo -cf %s'
content: |
# jmri user can manage its own service (for jmri-gui interactive sessions)
jmri ALL=(root) NOPASSWD: /usr/bin/systemctl start jmri.service
jmri ALL=(root) NOPASSWD: /usr/bin/systemctl stop jmri.service
jmri ALL=(root) NOPASSWD: /opt/jmri-monitor/bin/python3
# wed retains service control for automation/admin use
wed ALL=(root) NOPASSWD: /usr/bin/systemctl start jmri.service
wed ALL=(root) NOPASSWD: /usr/bin/systemctl stop jmri.service
wed ALL=(root) NOPASSWD: /opt/jmri-monitor/bin/python3

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# JMRI USB device symlinks — managed by Ansible, do not edit manually.
# Creates stable /dev/jmri-* symlinks at the top level of /dev so JMRI
# can enumerate them alongside real tty devices.
# LocoNet interface — RR-CirKits LocoBuffer-NG (Microchip CDC)
SUBSYSTEM=="tty", ENV{ID_SERIAL}=="RR-CirKits_LocoBuffer-NG_CDC_ACM_SERIAL_DEVICE_AA5700218A", \
SYMLINK+="jmri-loconet", MODE="0666"
# NCE Power Pro command station (FTDI FT232)
SUBSYSTEM=="tty", ENV{ID_SERIAL}=="ftdi_usb_serial_converter_ftDYQHZX", \
SYMLINK+="jmri-nce", MODE="0666"
# LCC buffer (Microchip CDC)
SUBSYSTEM=="tty", ENV{ID_SERIAL}=="Microchip_Technology_Inc._Simple_CDC_Device_Demo", \
SYMLINK+="jmri-lcc", MODE="0666"

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#!/bin/bash
# jmri-gui — launch JMRI GUI on Xpra virtual display
# Managed by Ansible — do not edit manually.
#
# Usage (connect as jmri user):
# jmri-gui panelpro Launch PanelPro on Xpra display
# jmri-gui decoderpro Launch DecoderPro on Xpra display
# jmri-gui status Show service status and attach command
#
# Then attach from macOS/Linux:
# xpra attach ssh://jmri@main-street-station/{{ jmri_xpra_display }}
set -euo pipefail
JMRI_DIR="{{ jmri_install_dir }}"
JMRI_SERVICE="jmri.service"
MONITOR_SERVICE="jmri-monitor.service"
XPRA_SERVICE="jmri-xpra.service"
DISPLAY=":{{ jmri_xpra_display }}"
export DISPLAY
usage() {
echo "Usage: jmri-gui <panelpro|decoderpro|status>"
exit 1
}
status() {
echo "=== JMRI daemon ==="
systemctl status "$JMRI_SERVICE" --no-pager -l 2>&1 | head -8
echo ""
echo "=== Xpra display ==="
systemctl status "$XPRA_SERVICE" --no-pager -l 2>&1 | head -5
echo ""
echo "=== Layout monitor ==="
systemctl status "$MONITOR_SERVICE" --no-pager -l 2>&1 | head -5
echo ""
echo "To attach: xpra attach ssh://jmri@$(hostname -f)/{{ jmri_xpra_display }}"
}
launch() {
local app="$1"
local binary
case "$app" in
panelpro) binary="PanelPro" ;;
decoderpro) binary="DecoderPro" ;;
*) usage ;;
esac
# Ensure Xpra display is running
if ! systemctl is-active --quiet "$XPRA_SERVICE" 2>/dev/null; then
echo "Starting Xpra display..."
sudo systemctl start "$XPRA_SERVICE"
sleep 2
fi
# Stop the JMRI daemon if running (we're taking over the hardware connections)
if systemctl is-active --quiet "$JMRI_SERVICE" 2>/dev/null; then
echo "Stopping JMRI daemon..."
sudo systemctl stop "$JMRI_SERVICE"
fi
# Force AWT out of headless mode
export JMRI_OPTIONS="-Djava.awt.headless=false"
echo "Launching $binary on Xpra display $DISPLAY..."
echo ""
echo "Attach from your workstation:"
echo " xpra attach ssh://jmri@$(hostname -f)/{{ jmri_xpra_display }}"
echo ""
"$JMRI_DIR/$binary" &
echo "$binary launched. Attach with xpra to see windows."
echo ""
# Restart daemon if layout switch is still on
if systemctl is-active --quiet "$MONITOR_SERVICE" 2>/dev/null; then
if sudo /opt/jmri-monitor/bin/python3 - <<'EOF'
from decora_wifi import DecoraWiFiSession
from decora_wifi.models.residential_account import ResidentialAccount
import sys
session = DecoraWiFiSession()
person = session.login("{{ jmri_leviton_email }}", "{{ jmri_leviton_password }}")
perms = person.get_residential_permissions()
for perm in perms:
acct_id = perm.data.get('residentialAccountId')
if not acct_id:
continue
acct = ResidentialAccount(session, acct_id)
acct.refresh()
for r in acct.get_residences():
for s in r.get_iot_switches():
if s.data.get('name') == '{{ jmri_leviton_switch_name }}':
sys.exit(0 if s.data.get('power') == 'ON' else 1)
sys.exit(1)
EOF
then
echo "Layout is ON — JMRI daemon will restart when GUI is closed."
else
echo "Layout is OFF — JMRI daemon will not restart."
fi
fi
}
case "${1:-}" in
panelpro|decoderpro) launch "$1" ;;
status) status ;;
*) usage ;;
esac

156
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#!/opt/jmri-monitor/bin/python3
"""
jmri-monitor — Leviton Decora Smart Wi-Fi layout power monitor
Managed by Ansible — do not edit manually.
Polls the Leviton cloud API for the "{{ jmri_leviton_switch_name }}" switch state.
- Switch ON after being OFF → systemctl start jmri.service
- Switch OFF for {{ jmri_monitor_stop_delay }}s → systemctl stop jmri.service
Quiet hours {{ jmri_monitor_quiet_start }}:00–{{ jmri_monitor_quiet_end }}:00: no polling (layout assumed off).
"""
import subprocess
import time
import logging
import sys
from datetime import datetime
LEVITON_EMAIL = "{{ jmri_leviton_email }}"
LEVITON_PASSWORD = "{{ jmri_leviton_password }}"
SWITCH_NAME = "{{ jmri_leviton_switch_name }}"
POLL_INTERVAL = {{ jmri_monitor_poll_interval }}
QUIET_START = {{ jmri_monitor_quiet_start }}
QUIET_END = {{ jmri_monitor_quiet_end }}
STOP_DELAY = {{ jmri_monitor_stop_delay }}
JMRI_SERVICE = "jmri.service"
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [jmri-monitor] %(levelname)s: %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
stream=sys.stdout,
)
log = logging.getLogger(__name__)
def systemctl(action):
try:
result = subprocess.run(
["systemctl", action, JMRI_SERVICE],
capture_output=True, text=True, timeout=30,
)
if result.returncode == 0:
log.info("systemctl %s %s: OK", action, JMRI_SERVICE)
else:
log.warning("systemctl %s %s: %s", action, JMRI_SERVICE, result.stderr.strip())
except Exception as e:
log.error("systemctl %s failed: %s", action, e)
def is_quiet_hours():
hour = datetime.now().hour
if QUIET_START < QUIET_END:
return QUIET_START <= hour < QUIET_END
else:
# wraps midnight e.g. 23–6
return hour >= QUIET_START or hour < QUIET_END
def get_switch_state():
"""Returns True if switch is ON, False if OFF, None on error."""
try:
from decora_wifi import DecoraWiFiSession
from decora_wifi.models.residential_account import ResidentialAccount
session = DecoraWiFiSession()
person = session.login(LEVITON_EMAIL, LEVITON_PASSWORD)
if not person:
log.error("Leviton login failed")
return None
perms = person.get_residential_permissions()
for perm in perms:
acct_id = perm.data.get('residentialAccountId')
if not acct_id:
continue
acct = ResidentialAccount(session, acct_id)
acct.refresh()
for residence in acct.get_residences():
for switch in residence.get_iot_switches():
if switch.data.get('name') == SWITCH_NAME:
state = switch.data.get('power', 'OFF')
session.call_api('/Person/logout', {}, 'post')
return state == 'ON'
all_names = []
for perm in perms:
acct_id = perm.data.get('residentialAccountId')
if acct_id:
acct = ResidentialAccount(session, acct_id)
acct.refresh()
for r in acct.get_residences():
all_names += [s.data.get('name') for s in r.get_iot_switches()]
log.warning("Switch '%s' not found — available: %s", SWITCH_NAME, all_names)
session.call_api('/Person/logout', {}, 'post')
return None
except ImportError:
log.error("decora_wifi not installed")
return None
except Exception as e:
log.error("Error querying Leviton API: %s", e)
return None
def main():
log.info("Layout power monitor starting")
log.info("Switch: '%s' Poll: %ds Quiet: %02d:00–%02d:00 Stop delay: %ds",
SWITCH_NAME, POLL_INTERVAL, QUIET_START, QUIET_END, STOP_DELAY)
layout_on = False
off_since = None
while True:
if is_quiet_hours():
log.debug("Quiet hours — sleeping 60s")
# If layout was on when quiet hours started, stop JMRI
if layout_on:
log.info("Quiet hours began — stopping JMRI")
layout_on = False
off_since = None
systemctl("stop")
time.sleep(60)
continue
state = get_switch_state()
if state is True:
off_since = None
if not layout_on:
log.info("Layout switch ON — starting JMRI")
layout_on = True
systemctl("start")
elif state is False:
if layout_on:
if off_since is None:
off_since = time.monotonic()
log.info("Layout switch OFF — waiting %ds before stopping JMRI", STOP_DELAY)
elif time.monotonic() - off_since >= STOP_DELAY:
log.info("Layout switch OFF for %ds — stopping JMRI", STOP_DELAY)
layout_on = False
off_since = None
systemctl("stop")
else:
off_since = None
else:
# API error — don't change state, try again next poll
log.warning("Could not determine switch state — retrying in %ds", POLL_INTERVAL)
time.sleep(POLL_INTERVAL)
if __name__ == "__main__":
main()

20
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[Unit]
Description=JMRI LocoNet Traffic Monitor
Documentation=https://www.jmri.org/
# Must start after udev has processed devices
After=systemd-udev-settle.service
[Service]
Type=simple
# Runs as root — needs to call systemctl start/stop jmri.service
User=root
ExecStart=/usr/local/bin/jmri-monitor
Restart=always
RestartSec=10
StandardOutput=journal
StandardError=journal
SyslogIdentifier=jmri-monitor
[Install]
WantedBy=multi-user.target

26
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[Unit]
Description=Xpra virtual display for JMRI (:{{ jmri_xpra_display }})
After=network.target
# Start before jmri.service so the display is ready when JMRI launches
Before=jmri.service
[Service]
Type=simple
User={{ jmri_user }}
Group={{ jmri_group }}
ExecStart=/usr/bin/xpra start \
:{{ jmri_xpra_display }} \
--daemon=no \
--mdns=no \
--notifications=no \
--systemd-run=no \
--pulseaudio=no \
--speaker=off \
--microphone=off \
--video-encoders=none \
--start-via-proxy=no
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target

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[Unit]
Description=JMRI Server (JmriFaceless)
Documentation=https://www.jmri.org/
# jmri-monitor starts and stops this service based on LocoNet traffic.
# Do NOT enable this unit directly — it is managed by jmri-monitor.service.
After=network.target systemd-udev-settle.service
[Service]
Type=simple
User={{ jmri_user }}
Group={{ jmri_group }}
WorkingDirectory={{ jmri_install_dir }}
ExecStart={{ jmri_install_dir }}/JmriFaceless --profile={{ jmri_profile_id }}
# Monitor owns lifecycle — do not auto-restart
Restart=no
# Give hardware time to settle on start
TimeoutStartSec=30
# Logging — view with: journalctl -u jmri -f
StandardOutput=journal
StandardError=journal
SyslogIdentifier=jmri
# Serial device access
SupplementaryGroups=dialout
[Install]
# Intentionally no WantedBy — started only by jmri-monitor
WantedBy=

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# llm-inference-multimodel
Deploys **two independent llama-server systemd services** on astro-orbiter's
RTX 3090 (24GB), alongside — not replacing — the existing `llm-inference` role:
| Instance | Port | Model | Quant | ctx | parallel | ~VRAM |
|---|---|---|---|---|---|---|
| `llama-server-aux` | 8000 | Phi-4-14B-Instruct | Q4_K_M | 8192 | 2 | ~10.0GB |
| `llama-server-toolcall` | 8001 | Mistral-Small-24B-Instruct-2501 | Q3_K_M | 4096 | 1 | ~13.2GB |
Combined estimate: **~23.2GB / 24GB** (~0.8GB headroom). See
`/home/hermes/astro-orbiter-multi-model-plan.md` for the full approved design
(VRAM math, model selection rationale, rollback plan, validation harness).
## Relationship to `roles/llm-inference`
This role does **not** replace `llm-inference`. It assumes that role's
prerequisites are already satisfied on the host:
- NVIDIA driver installed
- `/opt/llama.cpp` cloned and built with CUDA (`/opt/llama.cpp/build/bin/llama-server` exists)
- `jarvis` service user + `/home/jarvis` present
The pre-existing single-model Gemma llama-server (however it is currently
run) is **never modified, restarted, or deleted** by this role. It is the
rollback target.
## Phases
Run the whole role, or scope with `--tags`:
```
ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference_multimodel.yml
# or, once merged into a single play:
ansible-playbook -i inventory.yml <playbook>.yml --tags discover,models,systemd,firewall,verify
```
0. **discover** (`tasks/discover.yml`) — READ-ONLY. Confirms via
`service_facts` + `pgrep` whether the existing Gemma llama-server actually
runs as a systemd unit today, or some ad hoc way (nohup/screen/tmux). Does
**not** assume a unit exists — this was an open unknown in the plan and is
resolved here as a fact-gathering step, not an assumption. Also records
baseline VRAM and current port 8000/8001 listeners for comparison later.
**If this reports no unit found**, stop and read the debug message —
it means plan §6's rollback story ("systemctl start the old unit to
revert") isn't actually available yet, and that should be fixed (codify
the existing process as a systemd unit) before proceeding to Phase 2.
1. **models** (`tasks/models.yml`) — Idempotent GGUF download to
`/opt/models/` with a stat + minimum-size guard (mirrors the pattern in
`roles/llm-inference/tasks/serve.yml` and the `llm-inference-homelab`
skill), so reruns don't re-pull 8.5GB/11.7GB files or mistake a truncated
partial download for complete.
2. **systemd** (`tasks/systemd.yml`) — Templates and deploys both unit files
to `/etc/systemd/system/`. **Deliberately does not start or enable either
service** — units land on disk as a separately reviewable checkpoint.
Two fully independent units (not one unit with two ExecStarts) so either
instance can be restarted/stopped without affecting the other.
3. **firewall** (`tasks/firewall.yml`) — Scopes ports 8000 and 8001 via `ufw`
to `llm_allowed_source_cidr` (default the Hermes LAN subnet), rather than
leaving them open. Both unit templates also bind to
`llm_bind_address` (default `10.1.71.130`, the host's private LAN IP) —
**not `0.0.0.0`** — which is a deliberate change from the pre-existing
Gemma pattern flagged as insecure in the plan.
4. **verify** (`tasks/verify.yml`) — The only phase that actually starts +
enables both services. Waits for `/health` on both ports, smoke-tests
`/v1/models` and a trivial `/v1/chat/completions` call on each, checks
`nvidia-smi` VRAM usage against the plan's design estimate, and greps
`dmesg` for OOM-kill events.
**This smoke test is not the tool-calling validation harness.** See
below.
## Key variables
Defined in `defaults/main.yml` (all overridable via `host_vars`/`group_vars`
or `-e`):
- `llm_service_user` (jarvis), `llm_binary_path`, `llm_models_dir`, `llm_bind_address`, `llm_allowed_source_cidr`
- Aux: `llm_aux_port`, `llm_aux_model_path`, `llm_aux_model_url`, `llm_aux_ctx_size`, `llm_aux_parallel`, `llm_aux_gpu_layers`
- Tool-calling: `llm_toolcall_port`, `llm_toolcall_model_path`, `llm_toolcall_model_url`, `llm_toolcall_ctx_size`, `llm_toolcall_parallel`, `llm_toolcall_gpu_layers`
`vars/main.yml` holds constants not meant to be overridden per-host (HF token
reference, expected-VRAM figures used only for the verify.yml report).
## ⚠️ Tool-calling validation is required before use
Port 8001 (Mistral-Small-24B) **must** pass the manual validation procedure
described in plan §7 before any Claude Code / tool-calling-capable Hermes
profile is pointed at it:
1. A curl-based `tool_calls` emission probe (does it call tools correctly on
known trigger prompts?)
2. A hallucination stress test (does it fabricate `tool_calls` on prompts
that shouldn't trigger any?)
3. A shadow-mode period (run parallel to the existing tool-calling path,
compare outputs, before a hard cutover)
This is **intentionally not automated into this role** — it is a
correctness/safety judgment call, not a repeatable infra check. See
`docs/validation-log.md` in this role directory for the procedure reference
and a place to log results once Ryan runs it.
## Known gap: Semaphore is broken (as of 2026-08-05)
The normal execution/audit path (Semaphore) is currently non-functional.
This role was authored to be run via direct `ansible-playbook` as an accepted
interim stopgap, executed personally by Ryan. **This is a known gap, not the
intended long-term operational path** — once Semaphore is repaired, retarget
execution of this role (and future changes to it) through Semaphore so runs
are audited/logged there again. Flag this in any future work that touches
this role.
## Rollback
The existing Gemma llama-server and its GGUF are untouched by every phase of
this role. To roll back:
1. `systemctl stop llama-server-aux llama-server-toolcall`
2. `systemctl disable llama-server-aux llama-server-toolcall` (optional, if reverting permanently)
3. Confirm the original Gemma service (name determined by `discover.yml`,
commonly `llama-server.service`) is (still) running: `systemctl status llama-server`
4. If it was never running because Phase 0 discovered it wasn't a managed
unit, whatever ad hoc process/command was used before this role's changes
is also unaffected — nothing in this role stopped it.
No files belonging to the existing Gemma deployment (GGUF, unit file, or
otherwise) are ever written to or deleted by this role.

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/defaults/main.yml
# DESCRIPTION: Overridable defaults for the llm-inference-multimodel role.
# Deploy target: astro-orbiter (10.1.71.130, RTX 3090 24GB).
# Built ALONGSIDE roles/llm-inference (not a replacement) — that
# role's CUDA/build/driver phases are the prerequisite; this role
# assumes /opt/llama.cpp/build/bin/llama-server already exists.
#
# See /home/hermes/astro-orbiter-multi-model-plan.md for the full
# approved design (VRAM math, rationale, rollback story).
# ------------------------------------------------------------------------------
# Shared
llm_service_user: jarvis
llm_binary_path: /opt/llama.cpp/build/bin/llama-server
llm_models_dir: /opt/models
# Bind address — deliberately NOT 0.0.0.0 (see plan §5). Default to the private
# LAN interface so both instances are reachable from Hermes but not the world.
# Override to 127.0.0.1 if even LAN-wide reachability is unwanted and a reverse
# proxy/localhost-only tunnel is used instead.
llm_bind_address: "10.1.71.130"
# Firewall scoping (Phase 3) — subnet/hosts allowed to reach the ports above.
# Override per-environment; default assumes Hermes runs somewhere on this /24.
llm_allowed_source_cidr: "10.1.70.0/24"
# --- Aux / classification instance (port 8000, Phi-4-14B) -------------------
# Text-only instruction model, no tool-calling training — safe offload target
# per the auxiliary-task-offload skill's "no tool_calls emission risk" bar.
llm_aux_port: 8000
llm_aux_model_path: "{{ llm_models_dir }}/phi-4-14b-instruct-Q4_K_M.gguf"
llm_aux_model_url: "https://huggingface.co/bartowski/phi-4-GGUF/resolve/main/phi-4-Q4_K_M.gguf"
llm_aux_model_min_bytes: 8000000000 # guard threshold; complete file ~8.5GB
llm_aux_ctx_size: 8192
llm_aux_parallel: 2
llm_aux_gpu_layers: 99
llm_aux_service_name: llama-server-aux
llm_aux_model_id: phi-4-14b-instruct # served model name for OpenAI-compat API
# --- Tool-calling instance (port 8001, Mistral-Small-24B) --------------------
# Native function-calling support; deployed at Q3_K_M per plan §1 Option B
# to fit VRAM budget. MUST pass the §7 validation harness before any
# Claude-Code-capable profile is pointed at this port.
llm_toolcall_port: 8001
llm_toolcall_model_path: "{{ llm_models_dir }}/mistral-small-24b-instruct-2501-Q3_K_M.gguf"
llm_toolcall_model_url: "https://huggingface.co/bartowski/Mistral-Small-24B-Instruct-2501-GGUF/resolve/main/Mistral-Small-24B-Instruct-2501-Q3_K_M.gguf"
llm_toolcall_model_min_bytes: 11000000000 # guard threshold; complete file ~11.7GB
llm_toolcall_ctx_size: 4096
llm_toolcall_parallel: 1
llm_toolcall_gpu_layers: 99
llm_toolcall_service_name: llama-server-toolcall
llm_toolcall_model_id: mistral-small-24b-instruct-2501
# --- Existing Gemma baseline (rollback target — never modified by this role) -
# Populated by Phase 0 discovery (tasks/discover.yml) if not already known.
# Set here only as a fallback name to search for; discovery is authoritative.
llm_existing_gemma_service_name_guess: llama-server

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# Tool-Calling Model Validation Log
This file tracks the manual validation procedure required by
`astro-orbiter-multi-model-plan.md` §7 before `llama-server-toolcall` (port
8001, Mistral-Small-24B-Instruct-2501 Q3_K_M) is trusted for any real
tool-calling / Claude Code Hermes profile traffic.
This is **not automated by the role** — `tasks/verify.yml` only confirms the
endpoint is up and can produce a basic completion. The checks below are a
correctness/safety judgment call that a human runs and records here.
## Procedure (plan §7 summary)
1. **`tool_calls` emission probe** — curl a handful of known
tool-triggering prompts (e.g. "what's the weather in Austin right now")
against `POST http://10.1.71.130:8001/v1/chat/completions` with a `tools`
array defined, and confirm the response actually contains a well-formed
`tool_calls` block (correct function name, valid JSON arguments) rather
than a plain-text answer or a malformed call.
2. **Hallucination stress test** — send prompts that should **not** trigger
any tool call (general knowledge questions, casual chat, prompts that
merely mention a tool's name in passing) and confirm the model does
**not** emit a spurious `tool_calls` block. This is the primary risk
flagged in the plan given Mistral-Small's Q3_K_M quantization and its
lineage concerns around over-eager tool invocation.
3. **Shadow mode** — for a bounded period, run this instance in parallel
with whatever tool-calling path is currently in production, comparing
outputs on the same real traffic (or a recorded sample) without letting
this instance's outputs actually drive tool execution. Only cut over
once outputs are consistently correct.
See the `llm-inference-homelab` skill's `scripts/tool-calling-validation.sh`
reference for a starting curl harness shape — adapt prompts/tool schemas to
Mistral-Small's actual expected format (confirm via the GGUF's embedded
chat template / model card) rather than assuming it matches Qwen's.
## Log
| Date | Run by | Probe result | Hallucination test result | Shadow mode outcome | Decision |
|---|---|---|---|---|---|
| _(pending)_ | | | | | Not yet cut over — do not point production tool-calling traffic at :8001 |
Update this table after each validation pass. Do not remove prior rows —
this is the audit trail for "when did we decide this was safe to use."

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/handlers/main.yml
# DESCRIPTION: Separate restart handlers per instance — NEVER combined, so a
# content change to one unit template never restarts the other
# (plan §2/§6 requirement: independent restart/rollback).
# ------------------------------------------------------------------------------
- name: Reload systemd
ansible.builtin.systemd:
daemon_reload: true
become: true
listen: "reload systemd"
- name: Restart llama-server-aux
ansible.builtin.systemd:
name: "{{ llm_aux_service_name }}"
state: restarted
become: true
listen: "restart llama-server-aux"
- name: Restart llama-server-toolcall
ansible.builtin.systemd:
name: "{{ llm_toolcall_service_name }}"
state: restarted
become: true
listen: "restart llama-server-toolcall"

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/meta/main.yml
# ------------------------------------------------------------------------------
galaxy_info:
role_name: llm_inference_multimodel
author: rblundon
license: MIT
description: >
Deploys two independent llama-server instances on astro-orbiter's RTX 3090:
an aux/classification instance (Phi-4-14B Q4_K_M, port 8000) and a
tool-calling instance (Mistral-Small-24B-Instruct-2501 Q3_K_M, port 8001).
Built alongside roles/llm-inference (not a replacement); assumes that
role's CUDA build/driver work is already done. See
/home/hermes/astro-orbiter-multi-model-plan.md for the full design.
min_ansible_version: "2.15"
dependencies: []

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/tasks/discover.yml
# DESCRIPTION: Phase 0 — READ-ONLY fact gathering on how the existing Gemma
# llama-server is actually managed on astro-orbiter TODAY.
#
# Per plan §0/§4: "Service management: unverified — plan requires
# confirming systemd unit exists before touching anything.
# Do not assume." This file performs that confirmation. It makes
# NO changes to the host — no `state: present/started/stopped`,
# no file writes, no service actions. Every task here is either
# a `_facts` module, a `command`/`shell` in check-safe read mode,
# or a `stat`.
#
# Outcomes recorded as facts for later phases/for a human to read
# in the play recap — this file does not branch role behavior
# on the result (that would be over-engineering a role meant to
# run once); it surfaces what's true so a human confirms before
# Phase 2 proceeds.
# ------------------------------------------------------------------------------
- name: Gather service facts (systemd unit inventory)
ansible.builtin.service_facts:
- name: Determine whether a systemd unit matching the existing Gemma service exists
ansible.builtin.set_fact:
llm_existing_gemma_unit_found: "{{ (llm_existing_gemma_service_name_guess + '.service') in ansible_facts.services }}"
- name: Report existing Gemma systemd unit state (if found)
ansible.builtin.debug:
msg: >-
Existing unit '{{ llm_existing_gemma_service_name_guess }}.service' found:
state={{ ansible_facts.services[llm_existing_gemma_service_name_guess + '.service'].state | default('unknown') }},
status={{ ansible_facts.services[llm_existing_gemma_service_name_guess + '.service'].status | default('unknown') }}
when: llm_existing_gemma_unit_found
- name: WARNING — no systemd unit found matching the existing Gemma service
ansible.builtin.debug:
msg: >-
No systemd unit named '{{ llm_existing_gemma_service_name_guess }}.service'
was found via service_facts. This means the current single-model
llama-server is likely run some other way (manual nohup, screen/tmux,
or a differently-named unit). DO NOT PROCEED to Phase 2 assuming a
clean rollback target exists. Before continuing: (1) check for any
running llama-server process via `ansible -m command -a "pgrep -fa
llama-server"`, (2) if found running ad hoc, codify it as a proper
systemd unit FIRST (reusing roles/llm-inference's existing
llama-server.service.j2 pattern) so plan §6's rollback story
("systemctl start llama-server-gemma to fully revert") is real and
not aspirational. This is a human decision point, not something this
role auto-remediates.
when: not llm_existing_gemma_unit_found
- name: Check for any running llama-server process (read-only, no state change)
ansible.builtin.command:
cmd: pgrep -fa llama-server
register: llm_existing_process_check
changed_when: false
failed_when: false # pgrep exits 1 with no matches — not a failure condition here
- name: Report any llama-server process found running outside systemd
ansible.builtin.debug:
msg: "Running llama-server process(es): {{ llm_existing_process_check.stdout_lines }}"
when: llm_existing_process_check.rc == 0
- name: Check current GPU VRAM utilization (baseline, before any changes)
ansible.builtin.command:
cmd: nvidia-smi --query-gpu=memory.used,memory.total --format=csv,noheader
register: llm_baseline_vram
changed_when: false
failed_when: false
- name: Report baseline VRAM usage
ansible.builtin.debug:
msg: "Baseline GPU VRAM (before this role's changes): {{ llm_baseline_vram.stdout | default('nvidia-smi unavailable') }}"
- name: Check whether ports 8000/8001 are already bound (avoid port collision surprises)
ansible.builtin.command:
cmd: "ss -ltnp"
register: llm_existing_listeners
changed_when: false
failed_when: false
- name: Report current listeners on 8000/8001
ansible.builtin.debug:
msg: "{{ llm_existing_listeners.stdout_lines | select('search', ':(8000|8001)\\s') | list }}"
when: llm_existing_listeners.rc == 0

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/tasks/firewall.yml
# DESCRIPTION: Phase 3 — scope :8001 (new) and reconsider :8000 (existing
# pattern) exposure, per plan §5.
#
# Current baseline pattern (0.0.0.0:8000, no auth) is a
# pre-existing flagged issue — this role does NOT repeat it
# uncritically for the new port, and tightens both:
# 1. Bind address: handled in systemd.yml templates via
# {{ llm_bind_address }} (default 10.1.71.130, NOT 0.0.0.0).
# 2. Firewall: ufw rules scoping both ports to
# {{ llm_allowed_source_cidr }} rather than open LAN-wide.
#
# Idempotent: named rule comments + `state: present` so reruns
# don't duplicate rules (per plan §4 idempotency note).
# ------------------------------------------------------------------------------
- name: Check whether ufw is installed/active
ansible.builtin.command:
cmd: ufw status
register: llm_ufw_status
changed_when: false
failed_when: false
become: true
- name: WARNING — ufw not active, firewall scoping cannot be applied
ansible.builtin.debug:
msg: >-
ufw does not appear to be active on this host (`ufw status` returned:
{{ llm_ufw_status.stdout | default('n/a') }}). Firewall scoping for
ports {{ llm_aux_port }}/{{ llm_toolcall_port }} was skipped. This is a
gap vs plan §5 item 2 — flag to Ryan before relying on bind-address
alone for exposure control.
when: "'Status: active' not in (llm_ufw_status.stdout | default(''))"
- name: Allow aux port ({{ llm_aux_port }}) from the Hermes source subnet
community.general.ufw:
rule: allow
port: "{{ llm_aux_port | string }}"
proto: tcp
src: "{{ llm_allowed_source_cidr }}"
comment: "llm-inference-multimodel: aux (Phi-4) — scoped to Hermes subnet"
become: true
when: "'Status: active' in (llm_ufw_status.stdout | default(''))"
- name: Allow tool-calling port ({{ llm_toolcall_port }}) from the Hermes source subnet
community.general.ufw:
rule: allow
port: "{{ llm_toolcall_port | string }}"
proto: tcp
src: "{{ llm_allowed_source_cidr }}"
comment: "llm-inference-multimodel: toolcall (Mistral-Small) — scoped to Hermes subnet"
become: true
when: "'Status: active' in (llm_ufw_status.stdout | default(''))"
- name: Report firewall scoping applied
ansible.builtin.debug:
msg: >-
Firewall scoping applied for ports {{ llm_aux_port }} and
{{ llm_toolcall_port }}, restricted to source {{ llm_allowed_source_cidr }}.
Reverse-proxy + API-key enforcement (plan §5 item 3) is NOT implemented
by this role — flagged as an optional follow-up phase, not bundled into
this minimum-viable rollout.

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/tasks/main.yml
# DESCRIPTION: Entry point — imports one task file per phase.
# Phases are additive; re-running the full playbook is always
# safe (idempotent). Use --tags to run a specific phase subset:
# --tags discover,models,systemd,firewall,verify
#
# IMPORTANT: Phase 2 (systemd) deploys but does NOT start either service.
# Phase 4 (verify) is what starts + smoke-tests them. This lets
# Ryan review "systemd units land, nothing running yet" as a
# distinct, revertable checkpoint before anything touches the
# live GPU/VRAM state.
# ------------------------------------------------------------------------------
# Phase 0 — Discover (read-only; confirm how the existing Gemma llama-server
# is actually managed today before assuming a systemd unit exists)
- import_tasks: discover.yml
tags: [discover]
# Phase 1 — Models (idempotent GGUF download, size-check guard)
- import_tasks: models.yml
tags: [models]
# Phase 2 — Systemd (template + deploy both unit files, do NOT auto-start)
- import_tasks: systemd.yml
tags: [systemd]
# Phase 3 — Firewall (scope :8001 and reconsider :8000 exposure)
- import_tasks: firewall.yml
tags: [firewall]
# Phase 4 — Verify (start both services, curl smoke test, nvidia-smi VRAM check)
- import_tasks: verify.yml
tags: [verify]

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/tasks/models.yml
# DESCRIPTION: Phase 1 — download both GGUFs to {{ llm_models_dir }}.
# Idempotent: reuses the stat + size-threshold guard pattern
# from the llm-inference-homelab skill / roles/llm-inference's
# serve.yml, so reruns don't re-pull 8.5GB / 11.7GB files.
#
# Does NOT touch the existing Gemma GGUF — separate directory
# entries, no overlap, no deletion of anything pre-existing.
# ------------------------------------------------------------------------------
- name: Create models directory
ansible.builtin.file:
path: "{{ llm_models_dir }}"
state: directory
owner: "{{ llm_service_user }}"
group: "{{ llm_service_user }}"
mode: "0755"
become: true
# --- Aux model (Phi-4-14B Q4_K_M) --------------------------------------------
- name: Check if aux model GGUF already exists
ansible.builtin.stat:
path: "{{ llm_aux_model_path }}"
register: llm_aux_model_stat
- name: Download aux model — Phi-4-14B-Q4_K_M GGUF
ansible.builtin.get_url:
url: "{{ llm_aux_model_url }}"
dest: "{{ llm_aux_model_path }}"
headers:
Authorization: "Bearer {{ llm_hf_token }}"
owner: "{{ llm_service_user }}"
group: "{{ llm_service_user }}"
mode: "0644"
timeout: 7200
force: false
become: true
no_log: true
# Idempotency guard: skip if file exists and is above the min-size threshold
# (catches partial/truncated downloads from an interrupted prior run).
when: not llm_aux_model_stat.stat.exists or (llm_aux_model_stat.stat.size | int) < (llm_aux_model_min_bytes | int)
# --- Tool-calling model (Mistral-Small-24B Q3_K_M) ---------------------------
- name: Check if tool-calling model GGUF already exists
ansible.builtin.stat:
path: "{{ llm_toolcall_model_path }}"
register: llm_toolcall_model_stat
- name: Download tool-calling model — Mistral-Small-24B-Instruct-2501 Q3_K_M GGUF
ansible.builtin.get_url:
url: "{{ llm_toolcall_model_url }}"
dest: "{{ llm_toolcall_model_path }}"
headers:
Authorization: "Bearer {{ llm_hf_token }}"
owner: "{{ llm_service_user }}"
group: "{{ llm_service_user }}"
mode: "0644"
timeout: 7200
force: false
become: true
no_log: true
when: not llm_toolcall_model_stat.stat.exists or (llm_toolcall_model_stat.stat.size | int) < (llm_toolcall_model_min_bytes | int)
- name: Report model files present on disk
ansible.builtin.debug:
msg:
- "Aux model: {{ llm_aux_model_path }}"
- "Tool-calling model: {{ llm_toolcall_model_path }}"

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/tasks/systemd.yml
# DESCRIPTION: Phase 2 — template + deploy both unit files.
# DELIBERATELY DOES NOT START OR ENABLE either service — that is
# Phase 4 (verify.yml)'s job, after Phase 3 firewall scoping is
# in place. This keeps "units land on disk" and "processes
# actually bind ports and load 20+GB into VRAM" as separately
# reviewable checkpoints per Ryan's iterative-build preference.
#
# Two independent units (llama-server-aux.service,
# llama-server-toolcall.service) — NOT one unit with two
# ExecStarts — so either can be stopped/restarted without
# affecting the other (plan §2, §6 rollback requirement).
#
# The pre-existing Gemma unit (whatever discover.yml found it to
# be) is never templated, restarted, or disabled by this file.
# ------------------------------------------------------------------------------
- name: Deploy llama-server-aux systemd unit
ansible.builtin.template:
src: llama-server-aux.service.j2
dest: "/etc/systemd/system/{{ llm_aux_service_name }}.service"
owner: root
group: root
mode: "0644"
become: true
notify:
- reload systemd
- restart llama-server-aux
- name: Deploy llama-server-toolcall systemd unit
ansible.builtin.template:
src: llama-server-toolcall.service.j2
dest: "/etc/systemd/system/{{ llm_toolcall_service_name }}.service"
owner: root
group: root
mode: "0644"
become: true
notify:
- reload systemd
- restart llama-server-toolcall
- name: Flush handlers so daemon-reload lands before any later phase acts on unit state
ansible.builtin.meta: flush_handlers
# NOTE: no `ansible.builtin.systemd: state: started / enabled: true` task here
# on purpose. Units exist on disk after this phase; nothing is running.
# The "restart" handlers above only fire (and thus only start anything) if
# the template content actually changed AND a later flush_handlers/end-of-play
# triggers them — on a first-ever apply this DOES start the services once,
# which is expected/acceptable for a fresh deploy, but on any subsequent
# re-run with no template changes, nothing restarts. Ryan/verify.yml owns
# the deliberate first start + smoke test.

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/tasks/verify.yml
# DESCRIPTION: Phase 4 — start both services, curl smoke test each endpoint,
# nvidia-smi VRAM check against plan §1 math, confirm no OOM.
#
# This is the ONLY phase that actually starts the services
# (systemd.yml deliberately does not). Enabling happens here too,
# so a reboot brings both back — matching plan §2's "independent
# systemd services" intent for durability, not just this-session.
# ------------------------------------------------------------------------------
- name: Enable and start llama-server-aux
ansible.builtin.systemd:
name: "{{ llm_aux_service_name }}"
state: started
enabled: true
daemon_reload: true
become: true
- name: Enable and start llama-server-toolcall
ansible.builtin.systemd:
name: "{{ llm_toolcall_service_name }}"
state: started
enabled: true
daemon_reload: true
become: true
- name: Wait for aux instance API to become available (model load may take a couple minutes)
ansible.builtin.uri:
url: "http://{{ llm_bind_address }}:{{ llm_aux_port }}/health"
status_code: 200
register: llm_aux_health
retries: 24
delay: 10
until: llm_aux_health.status == 200
- name: Wait for tool-calling instance API to become available
ansible.builtin.uri:
url: "http://{{ llm_bind_address }}:{{ llm_toolcall_port }}/health"
status_code: 200
register: llm_toolcall_health
retries: 24
delay: 10
until: llm_toolcall_health.status == 200
- name: Smoke-test — aux instance model listing
ansible.builtin.uri:
url: "http://{{ llm_bind_address }}:{{ llm_aux_port }}/v1/models"
status_code: 200
return_content: true
register: llm_aux_models
- name: Smoke-test — tool-calling instance model listing
ansible.builtin.uri:
url: "http://{{ llm_bind_address }}:{{ llm_toolcall_port }}/v1/models"
status_code: 200
return_content: true
register: llm_toolcall_models
- name: Report served models per instance
ansible.builtin.debug:
msg:
- "Aux (:{{ llm_aux_port }}) serving: {{ llm_aux_models.json.data | map(attribute='id') | list }}"
- "Tool-calling (:{{ llm_toolcall_port }}) serving: {{ llm_toolcall_models.json.data | map(attribute='id') | list }}"
- name: Basic completion smoke test — aux instance (non-tool-calling sanity check only)
ansible.builtin.uri:
url: "http://{{ llm_bind_address }}:{{ llm_aux_port }}/v1/chat/completions"
method: POST
body_format: json
body:
model: "{{ llm_aux_model_id }}"
messages:
- role: user
content: "Reply with exactly one word: OK"
max_tokens: 10
status_code: 200
return_content: true
register: llm_aux_completion
- name: Basic completion smoke test — tool-calling instance (plain-text sanity check only)
ansible.builtin.uri:
url: "http://{{ llm_bind_address }}:{{ llm_toolcall_port }}/v1/chat/completions"
method: POST
body_format: json
body:
model: "{{ llm_toolcall_model_id }}"
messages:
- role: user
content: "Reply with exactly one word: OK"
max_tokens: 10
status_code: 200
return_content: true
register: llm_toolcall_completion
- name: NOTE — this smoke test is NOT the tool-calling validation harness
ansible.builtin.debug:
msg: >-
Both endpoints respond to basic completions. This does NOT validate
tool_calls correctness or hallucination-safety for the tool-calling
instance — that is a separate, manual, post-deploy procedure (plan §7).
See references/tool-calling-validation.sh (copied from the
llm-inference-homelab skill) and docs/validation-log.md in this role.
DO NOT point any Claude Code / tool-calling-capable Hermes profile at
port {{ llm_toolcall_port }} until that validation has passed and been
logged.
- name: Check GPU VRAM usage after both instances are running
ansible.builtin.command:
cmd: nvidia-smi --query-gpu=memory.used,memory.total,utilization.gpu --format=csv,noheader
register: llm_post_start_vram
changed_when: false
- name: Report VRAM usage vs plan §1 expectations
ansible.builtin.debug:
msg:
- "Measured (nvidia-smi): {{ llm_post_start_vram.stdout }}"
- "Design estimate (plan §1): aux ~{{ llm_aux_expected_vram_gb }}GB + toolcall ~{{ llm_toolcall_expected_vram_gb }}GB = ~{{ llm_combined_expected_vram_gb }}GB / {{ llm_gpu_total_vram_gb }}GB total"
- "If measured usage exceeds ~23.5GB or is within ~0.5GB of the 24GB card limit, treat as the OOM-risk trigger condition from plan §6 — do not leave both services running unattended without confirming headroom."
- name: Check for OOM-kill events related to llama-server in dmesg (best-effort, read-only)
ansible.builtin.shell:
cmd: "dmesg | grep -i 'llama-server' | grep -i -E 'oom|killed' || true"
register: llm_oom_check
changed_when: false
become: true
- name: Report any OOM-kill findings
ansible.builtin.debug:
msg: >-
{{ llm_oom_check.stdout if llm_oom_check.stdout | length > 0
else 'No OOM-kill events found for llama-server in dmesg.' }}

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[Unit]
Description=llama-server (aux/classification) — Phi-4-14B Q4_K_M (OpenAI-compatible inference)
After=network.target nvidia-persistenced.service
Wants=nvidia-persistenced.service
[Service]
Type=simple
User={{ llm_service_user }}
Group={{ llm_service_user }}
Environment="HOME=/home/{{ llm_service_user }}"
ExecStart={{ llm_binary_path }} \
--model {{ llm_aux_model_path }} \
--host {{ llm_bind_address }} \
--port {{ llm_aux_port }} \
--ctx-size {{ llm_aux_ctx_size }} \
--n-gpu-layers {{ llm_aux_gpu_layers }} \
--parallel {{ llm_aux_parallel }} \
--metrics
# NOTE: no --chat-template flag — let llama-server auto-detect Phi-4's own
# embedded chat template from GGUF metadata (same reasoning as the existing
# llm-inference role's Gemma unit: explicit overrides risk mismatching the
# model's actual expected format).
# NOTE: --host is the private LAN IP (10.1.71.130 by default), NOT 0.0.0.0 —
# deliberate change from the pre-existing Gemma pattern (plan §5).
Restart=on-failure
RestartSec=10
TimeoutStartSec=600
StandardOutput=journal
StandardError=journal
SyslogIdentifier=llama-server-aux
[Install]
WantedBy=multi-user.target

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[Unit]
Description=llama-server (tool-calling) — Mistral-Small-24B-Instruct-2501 Q3_K_M (OpenAI-compatible inference)
After=network.target nvidia-persistenced.service
Wants=nvidia-persistenced.service
[Service]
Type=simple
User={{ llm_service_user }}
Group={{ llm_service_user }}
Environment="HOME=/home/{{ llm_service_user }}"
ExecStart={{ llm_binary_path }} \
--model {{ llm_toolcall_model_path }} \
--host {{ llm_bind_address }} \
--port {{ llm_toolcall_port }} \
--ctx-size {{ llm_toolcall_ctx_size }} \
--n-gpu-layers {{ llm_toolcall_gpu_layers }} \
--parallel {{ llm_toolcall_parallel }} \
--metrics
# NOTE: no --chat-template flag — let llama-server auto-detect Mistral-Small's
# own embedded chat template from GGUF metadata.
# NOTE: --host is the private LAN IP (10.1.71.130 by default), NOT 0.0.0.0.
# NOTE: --parallel 1 is deliberate (plan §1/§2) — tool-calling profiles are
# single-session-at-a-time per Claude Code profile; lower parallelism reduces
# KV overhead and lowers hallucination surface from context bleed between
# concurrent slots.
# IMPORTANT: this endpoint MUST pass the plan §7 validation harness
# (docs/validation-log.md in this role) before any Claude Code / tool-calling
# Hermes profile is pointed at it. Mistral-Small shares lineage concerns
# flagged for Qwen2.5/Qwen3 hallucinated tool_calls — do not assume safety.
Restart=on-failure
RestartSec=10
TimeoutStartSec=600
StandardOutput=journal
StandardError=journal
SyslogIdentifier=llama-server-toolcall
[Install]
WantedBy=multi-user.target

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference-multimodel/vars/main.yml
# DESCRIPTION: Role-internal constants (not meant to be overridden per-host).
# Model URLs/quant filenames live here rather than defaults/ since
# they're not really "tunable" — they're the specific artifacts
# named in the approved plan (§1). If Ryan wants a different
# quant/model, that's a defaults/main.yml override or a plan
# revision, not a vars/ edit.
# ------------------------------------------------------------------------------
# HuggingFace auth — reuse the same vault token as roles/llm-inference.
# vault_hf_token is defined in group_vars/all/vault.
llm_hf_token: "{{ vault_hf_token }}"
# Expected VRAM subtotals from plan §1 (informational — surfaced in verify.yml
# output so a live nvidia-smi reading can be sanity-checked against the design
# math, not enforced as a hard gate).
llm_aux_expected_vram_gb: 10.0
llm_toolcall_expected_vram_gb: 13.2
llm_combined_expected_vram_gb: 23.2
llm_gpu_total_vram_gb: 24.0

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/defaults/main.yml
# DESCRIPTION: Overridable defaults for the llm-inference role.
# Deploy target: astro-orbiter (Dell OptiPlex 7050 SFF, RTX 3090
# via OCuLink, Ubuntu 24.04.4 LTS).
# ------------------------------------------------------------------------------
# NVIDIA driver
llm_nvidia_driver_package: nvidia-driver-595-open
# Python venv
llm_venv_path: /home/jarvis/vllm-env
llm_venv_owner: jarvis
# HuggingFace
llm_hf_cache_dir: /home/jarvis/.cache/huggingface
llm_hf_model: google/gemma-2-27b-it
# vLLM serve (deprecated — replaced by llama-server)
# llama-server serve
llm_serve_port: 8000
llm_serve_host: "0.0.0.0"
# NOTE (2026-08-05): --ctx-size is llama.cpp's TOTAL KV cache pool, divided
# evenly across --parallel slots (per-slot context = ctx-size / parallel).
# Previous 8192/4=2048 tokens-per-slot was too small for aux task offload
# (context compression) and caused live rejections: "request (3826 tokens)
# exceeds the available context size (2048 tokens)".
# Sized against measured VRAM on astro-orbiter (RTX 3090, 24576MiB total):
# - Weights (Q4_K_M, 27B) ~16998MiB resident.
# - At ctx-size=8192/parallel=4, total llama-server VRAM = 19404MiB
# (nvidia-smi), i.e. ~2406MiB for KV cache + compute buffers at 8192
# total context tokens -> ~294KiB/token (pool-wide, incl. buffers).
# - Model n_ctx_train=8192 is the native max; per-slot context beyond
# this degrades coherence, so per-slot should cap at 8192.
# - New sizing: ctx-size=16384, parallel=2 -> 8192 tokens/slot (native
# max, covers compression's multi-thousand-token inputs with margin).
# Projected VRAM: 16998 + (~294KiB/token * 16384) ≈ 21.8GB used,
# leaving ~2.7GB headroom on the 24GB card.
# - parallel=2 (not 4) trades some concurrency for correct per-slot
# context; 2 concurrent aux-task requests is enough headroom before
# the known "3+ simultaneous compressions" GPU bottleneck kicks in.
llm_max_model_len: 16384
llm_gpu_layers: 99 # offload all layers to GPU
llm_parallel_slots: 2 # concurrent request slots -> 8192 tokens/slot (ctx-size / parallel)
llm_gguf_dir: /home/jarvis/models
llm_gguf_path: /home/jarvis/models/gemma-2-27b-it-Q4_K_M.gguf
# Legacy vLLM vars (kept for role documentation, not used by llama-server)
llm_quantization: "bitsandbytes"
llm_gpu_memory_utilization: "0.92"
# Monitoring
llm_gpu_exporter_version: "1.13.1"
llm_gpu_exporter_port: 9835

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/handlers/main.yml
# ------------------------------------------------------------------------------
- name: Reload systemd
ansible.builtin.systemd:
daemon_reload: true
listen: "reload systemd"
- name: Restart vllm-serve
ansible.builtin.systemd:
name: vllm-serve
state: restarted
listen: "restart vllm-serve"
failed_when: false
- name: Restart llama-server
ansible.builtin.systemd:
name: llama-server
state: restarted
listen: "restart llama-server"
- name: Restart Hermes on carousel
ansible.builtin.systemd:
name: "{{ item }}"
state: restarted
scope: user
loop:
- hermes-gateway
- hermes-dashboard
become: true
become_user: wed
delegate_to: carousel-of-progress
listen: "restart hermes"
ignore_errors: true
- name: Restart nvidia-gpu-exporter
ansible.builtin.systemd:
name: nvidia-gpu-exporter
state: restarted
listen: "restart nvidia-gpu-exporter"

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/meta/main.yml
# ------------------------------------------------------------------------------
galaxy_info:
role_name: llm_inference
author: rblundon
license: MIT
description: >
Deploys vLLM serving stack with NVIDIA RTX 3090 on Ubuntu 24.04.
Manages NVIDIA drivers, Python venv, model download, systemd service,
and Hermes provider integration.
min_ansible_version: "2.15"
dependencies: []

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/driver.yml
# DESCRIPTION: Phase 2 — NVIDIA driver.
# Installs nvidia-driver-595-open via apt. Fully idempotent —
# already installed on astro-orbiter on 2026-08-03, this is a no-op.
# DKMS builds the kernel module automatically on install.
# ------------------------------------------------------------------------------
- name: Install NVIDIA driver package
ansible.builtin.apt:
name: "{{ llm_nvidia_driver_package }}"
state: present
update_cache: false
notify: reload systemd
- name: Verify nvidia-smi reports the GPU
ansible.builtin.command: nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
register: nvidia_smi_out
changed_when: false
failed_when: nvidia_smi_out.rc != 0
- name: Print nvidia-smi output
ansible.builtin.debug:
msg: "GPU detected: {{ nvidia_smi_out.stdout }}"

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/foundation.yml
# DESCRIPTION: Phase 1 — Foundation.
# - Asserts vault secret is defined
# - Adds jarvis user to nvidia GPU groups
# - Creates HuggingFace cache directory
# - Creates venv parent directory
# NOTE: NVIDIA driver install (Phase 2) already performed manually on
# 2026-08-03 (nvidia-driver-595-open, DKMS built, nvidia-smi verified).
# Phase 2 tasks are idempotent and will no-op on astro-orbiter.
# ------------------------------------------------------------------------------
- name: Assert HuggingFace token is defined in vault
ansible.builtin.assert:
that:
- vault_hf_token is defined
- vault_hf_token | length > 0
fail_msg: >
vault_hf_token is not defined. Add it to group_vars/all/vault:
vault_hf_token: "hf_xxxxxxxxxxxxxxxxxxxx"
- name: Add jarvis user to nvidia GPU groups
ansible.builtin.user:
name: jarvis
groups:
- video
- render
append: true
- name: Create HuggingFace cache directory
ansible.builtin.file:
path: "{{ llm_hf_cache_dir }}"
state: directory
owner: jarvis
group: jarvis
mode: "0755"
- name: Create venv parent directory
ansible.builtin.file:
path: "{{ llm_venv_path | dirname }}"
state: directory
owner: jarvis
group: jarvis
mode: "0755"

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/integration.yml
# DESCRIPTION: Phase 6 — Wire astro-orbiter into Hermes as a secondary provider.
# Writes a provider config fragment to carousel-of-progress
# (the Hermes host) so FRIDAY crons can route to the local model.
#
# Hermes provider config lives at ~/.hermes/config.yaml on carousel.
# This task uses the lineinfile/blockinfile approach to add the provider
# entry idempotently without clobbering the existing config.
#
# NOTE: Hermes must be restarted on carousel after this task runs.
# Manual step — JARVIS will notify Ryan.
# ------------------------------------------------------------------------------
- name: Check if astro-orbiter provider already configured in Hermes
ansible.builtin.command:
cmd: grep -c "astro-orbiter" /home/wed/.hermes/config.yaml
register: provider_check
changed_when: false
failed_when: false
delegate_to: carousel-of-progress
- name: Add astro-orbiter as Hermes secondary provider
ansible.builtin.blockinfile:
path: /home/wed/.hermes/config.yaml
marker: "# {mark} ANSIBLE MANAGED — astro-orbiter vLLM provider"
insertafter: "^providers:"
block: |
# astro-orbiter — local RTX 3090 vLLM inference
- name: astro-orbiter
type: openai-compatible
base_url: http://{{ hostvars['astro-orbiter']['ansible_host'] }}:{{ llm_serve_port }}/v1
model: {{ llm_hf_model }}
api_key: none
when: provider_check.stdout == "0"
delegate_to: carousel-of-progress
notify: restart hermes
- name: Remind operator to restart Hermes on carousel
ansible.builtin.debug:
msg: >
Phase 6 complete. Hermes on carousel-of-progress has been updated.
Restart Hermes manually or via: systemctl --user restart hermes-gateway hermes-dashboard

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/main.yml
# DESCRIPTION: Entry point — imports one task file per phase.
# Phases are additive; re-running the full playbook is always safe.
# Use --tags to run a specific phase subset:
# --tags foundation,driver,vllm,model,serve,integration,monitoring
# ------------------------------------------------------------------------------
# Phase 1 — Foundation
- import_tasks: foundation.yml
tags: [foundation]
# Phase 2 — Driver
- import_tasks: driver.yml
tags: [driver]
# Phase 3 — vLLM
- import_tasks: vllm.yml
tags: [vllm]
# Phase 4 — Model
- import_tasks: model.yml
tags: [model]
# Phase 5 — Serve
- import_tasks: serve.yml
tags: [serve]
# Phase 6 — Integration
- import_tasks: integration.yml
tags: [integration]
# Phase 7 — Monitoring
- import_tasks: monitoring.yml
tags: [monitoring]

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/model.yml
# DESCRIPTION: Phase 4 — HuggingFace login and Gemma 2 27B model download.
# Idempotent: snapshot_download skips files already present.
# Requires vault_hf_token and Gemma 2 licence accepted at
# huggingface.co/google/gemma-2-27b-it.
# ------------------------------------------------------------------------------
- name: Write HuggingFace token to ~/.cache/huggingface/token
ansible.builtin.copy:
content: "{{ vault_hf_token }}"
dest: "/home/{{ llm_venv_owner }}/.cache/huggingface/token"
owner: "{{ llm_venv_owner }}"
group: "{{ llm_venv_owner }}"
mode: "0600"
no_log: true
- name: Download Gemma 2 27B model via snapshot_download
ansible.builtin.command:
cmd: >
{{ llm_venv_path }}/bin/python -c "
from huggingface_hub import snapshot_download
path = snapshot_download(
'{{ llm_hf_model }}',
cache_dir='{{ llm_hf_cache_dir }}',
)
print(path)
"
creates: "{{ llm_hf_cache_dir }}/models--{{ llm_hf_model | replace('/', '--') }}/snapshots"
become: true
become_user: "{{ llm_venv_owner }}"
environment:
HF_TOKEN: "{{ vault_hf_token }}"
HOME: "/home/{{ llm_venv_owner }}"
register: model_download
timeout: 3600
no_log: false
- name: Print model download path
ansible.builtin.debug:
msg: "Model available at: {{ model_download.stdout | default('already present') }}"

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---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/monitoring.yml
# DESCRIPTION: Phase 7 — Prometheus monitoring for the LLM inference stack.
# Deploys two metric-producing exporters on astro-orbiter:
#
# 1. node_exporter (port 9100) — system: CPU, RAM, disk, network
# 2. nvidia_gpu_exporter (port 9835) — GPU: VRAM, temp, util, power
# 3. llama-server built-in metrics (port 8000/metrics, enabled via
# --metrics) — just needs a scrape job (no extra process)
#
# GitOps note: the Prometheus scrape jobs for all three targets and
# the Grafana dashboard are declared in the homelab Git repo and
# applied by ArgoCD — NOT by this role:
# - cluster/applications/monitoring/values.yaml
# (prometheus.prometheusSpec.additionalScrapeConfigs)
# - cluster/applications/monitoring/dashboards.yaml
# (grafana-llm-inference-dashboard ConfigMap)
# This role's job is only to stand up the two exporters + verify
# they're reachable. Do NOT reintroduce kubectl patch/apply tasks
# here — cluster-facing changes go through Git commit + ArgoCD
# sync so state stays reproducible and self-healing.
# ------------------------------------------------------------------------------
# -----------------------------------------------------------------------
# 1. node_exporter
# -----------------------------------------------------------------------
- name: Install prometheus-node-exporter
ansible.builtin.apt:
name: prometheus-node-exporter
state: present
update_cache: false
- name: Enable and start node_exporter
ansible.builtin.systemd:
name: prometheus-node-exporter
state: started
enabled: true
- name: Verify node_exporter is reachable
ansible.builtin.uri:
url: "http://localhost:9100/metrics"
status_code: 200
register: node_exporter_health
retries: 6
delay: 5
until: node_exporter_health.status == 200
changed_when: false
# -----------------------------------------------------------------------
# 2. nvidia_gpu_exporter (utkuozdemir/nvidia_gpu_exporter)
# Lightweight single-binary exporter — no CUDA dependency, uses nvidia-smi.
# -----------------------------------------------------------------------
- name: Create nvidia_gpu_exporter install directory
ansible.builtin.file:
path: /opt/nvidia_gpu_exporter
state: directory
owner: root
group: root
mode: "0755"
- name: Download nvidia_gpu_exporter binary
ansible.builtin.get_url:
url: "https://github.com/utkuozdemir/nvidia_gpu_exporter/releases/download/v{{ llm_gpu_exporter_version }}/nvidia_gpu_exporter_{{ llm_gpu_exporter_version }}_linux_x86_64.tar.gz"
dest: "/tmp/nvidia_gpu_exporter.tar.gz"
mode: "0644"
register: gpu_exporter_download
- name: Extract nvidia_gpu_exporter binary
ansible.builtin.unarchive:
src: /tmp/nvidia_gpu_exporter.tar.gz
dest: /opt/nvidia_gpu_exporter
remote_src: true
creates: /opt/nvidia_gpu_exporter/nvidia_gpu_exporter
- name: Deploy nvidia_gpu_exporter systemd service
ansible.builtin.copy:
dest: /etc/systemd/system/nvidia-gpu-exporter.service
mode: "0644"
content: |
[Unit]
Description=NVIDIA GPU Prometheus Exporter
After=network.target nvidia-persistenced.service
Wants=nvidia-persistenced.service
[Service]
Type=simple
ExecStart=/opt/nvidia_gpu_exporter/nvidia_gpu_exporter \
--web.listen-address=:{{ llm_gpu_exporter_port }}
Restart=on-failure
RestartSec=5
StandardOutput=journal
StandardError=journal
SyslogIdentifier=nvidia-gpu-exporter
[Install]
WantedBy=multi-user.target
notify:
- reload systemd
- restart nvidia-gpu-exporter
- name: Flush handlers before starting gpu exporter
ansible.builtin.meta: flush_handlers
- name: Enable and start nvidia-gpu-exporter
ansible.builtin.systemd:
name: nvidia-gpu-exporter
state: started
enabled: true
daemon_reload: true
- name: Verify nvidia_gpu_exporter is reachable
ansible.builtin.uri:
url: "http://localhost:{{ llm_gpu_exporter_port }}/metrics"
status_code: 200
register: gpu_exporter_health
retries: 6
delay: 5
until: gpu_exporter_health.status == 200
changed_when: false
# -----------------------------------------------------------------------
# 3. Prometheus scrape configs + Grafana dashboard
#
# Intentionally NOT managed here. See file header: these are declared
# in cluster/applications/monitoring/{values.yaml,dashboards.yaml} in
# the homelab Git repo and rolled out by ArgoCD sync, keeping cluster
# state in Git rather than mutated imperatively from the control node.
# -----------------------------------------------------------------------

151
ansible/roles/llm-inference/tasks/serve.yml Normal file
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@@ -0,0 +1,151 @@
---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/serve.yml
# DESCRIPTION: Phase 5 — llama-server (llama.cpp) serving Gemma 2 27B-it GGUF.
#
# WHY llama.cpp instead of vLLM:
# vLLM with bitsandbytes int4 quantizes on-the-fly — loads full bf16 weights
# (~54GB RAM peak) before compressing, killing the 40GB OptiPlex on warmup.
# llama.cpp loads the pre-quantized GGUF directly (~15.5GB peak RAM for Q4_K_M).
# No torch.compile, no warmup spike, OpenAI-compatible API on the same port.
#
# GGUF source: bartowski/gemma-2-27b-it-GGUF (Q4_K_M, 15.5GB)
# Model downloaded to: {{ llm_gguf_path }}
# ------------------------------------------------------------------------------
- name: Install llama.cpp build dependencies
ansible.builtin.apt:
name:
- cmake
- build-essential
- libcurl4-openssl-dev
state: present
update_cache: false
# NOTE: nvidia-driver-595-open provides the runtime driver only (nvidia-smi,
# libcuda.so) — it does NOT ship nvcc/CUDA headers needed to build GGML_CUDA=ON.
# Ubuntu 24.04's nvidia-cuda-toolkit (12.0.x) is sufficient to build llama.cpp
# against; it does not need to match the 595 driver's CUDA 13.2 runtime version.
- name: Install NVIDIA CUDA toolkit (nvcc) for building llama.cpp with CUDA support
ansible.builtin.apt:
name: nvidia-cuda-toolkit
state: present
update_cache: false
become: true
- name: Clone llama.cpp repository
ansible.builtin.git:
repo: https://github.com/ggml-org/llama.cpp.git
dest: /opt/llama.cpp
depth: 1
update: false
become: true
- name: Check for incomplete/stale llama.cpp CMake configuration
ansible.builtin.stat:
path: /opt/llama.cpp/build/Makefile
register: llama_cmake_generated
- name: Remove stale llama.cpp build dir if CMake configure never completed
ansible.builtin.file:
path: /opt/llama.cpp/build
state: absent
become: true
when:
- not llama_cmake_generated.stat.exists
- not (ansible_check_mode | default(false))
- name: Build llama.cpp with CUDA support
ansible.builtin.command:
cmd: cmake -B build -DGGML_CUDA=ON -DCMAKE_BUILD_TYPE=Release
chdir: /opt/llama.cpp
creates: /opt/llama.cpp/build/CMakeCache.txt
become: true
- name: Compile llama.cpp (parallel build)
ansible.builtin.command:
cmd: cmake --build build --config Release --parallel {{ ansible_processor_vcpus }}
chdir: /opt/llama.cpp
creates: /opt/llama.cpp/build/bin/llama-server
become: true
timeout: 600
- name: Create GGUF model directory
ansible.builtin.file:
path: "{{ llm_gguf_dir }}"
state: directory
owner: "{{ llm_venv_owner }}"
group: "{{ llm_venv_owner }}"
mode: "0755"
- name: Check whether GGUF already exists (avoid re-downloading 16.6GB on every run)
ansible.builtin.stat:
path: "{{ llm_gguf_path }}"
register: llm_gguf_stat
- name: Download Gemma 2 27B Q4_K_M GGUF from HuggingFace
ansible.builtin.get_url:
url: "https://huggingface.co/bartowski/gemma-2-27b-it-GGUF/resolve/main/gemma-2-27b-it-Q4_K_M.gguf"
dest: "{{ llm_gguf_path }}"
headers:
Authorization: "Bearer {{ vault_hf_token }}"
owner: "{{ llm_venv_owner }}"
group: "{{ llm_venv_owner }}"
mode: "0644"
timeout: 7200
force: false
become: true
no_log: true
# Idempotency: skip entirely once the file exists and is reasonably sized
# (the finished GGUF is ~16.6GB; guard against a truncated partial download
# being mistaken for complete by only trusting files > 15GB).
when: not llm_gguf_stat.stat.exists or (llm_gguf_stat.stat.size | int) < 15000000000
- name: Disable and stop vllm-serve if present
ansible.builtin.systemd:
name: vllm-serve
state: stopped
enabled: false
failed_when: false
notify: reload systemd
- name: Deploy llama-server systemd service unit
ansible.builtin.template:
src: llama-server.service.j2
dest: /etc/systemd/system/llama-server.service
owner: root
group: root
mode: "0644"
notify:
- reload systemd
- restart llama-server
- name: Flush handlers to reload systemd before enabling service
ansible.builtin.meta: flush_handlers
- name: Enable and start llama-server
ansible.builtin.systemd:
name: llama-server
state: started
enabled: true
daemon_reload: true
- name: Wait for llama-server API to become available (model load ~30s)
ansible.builtin.uri:
url: "http://localhost:{{ llm_serve_port }}/health"
status_code: 200
register: llama_health
retries: 18
delay: 10
until: llama_health.status == 200
- name: Smoke-test — list available models
ansible.builtin.uri:
url: "http://localhost:{{ llm_serve_port }}/v1/models"
status_code: 200
return_content: true
register: llama_models
- name: Print available models
ansible.builtin.debug:
msg: "llama-server serving: {{ llama_models.json.data | map(attribute='id') | list }}"

43
ansible/roles/llm-inference/tasks/vllm.yml Normal file
View File

@@ -0,0 +1,43 @@
---
# ------------------------------------------------------------------------------
# FILE: roles/llm-inference/tasks/vllm.yml
# DESCRIPTION: Phase 3 — Python venv + vLLM install.
# Idempotent: venv creation and pip install only run if the
# venv binary or vllm package is absent.
# Already completed manually on 2026-08-03 — will no-op.
# ------------------------------------------------------------------------------
- name: Create Python venv for vLLM
ansible.builtin.command:
cmd: python3 -m venv {{ llm_venv_path }}
creates: "{{ llm_venv_path }}/bin/python"
become: true
become_user: "{{ llm_venv_owner }}"
- name: Upgrade pip inside venv
ansible.builtin.pip:
name: pip
state: latest
virtualenv: "{{ llm_venv_path }}"
become: true
become_user: "{{ llm_venv_owner }}"
- name: Install vLLM and bitsandbytes
ansible.builtin.pip:
name:
- vllm
- bitsandbytes
state: present
virtualenv: "{{ llm_venv_path }}"
become: true
become_user: "{{ llm_venv_owner }}"
- name: Verify vLLM is importable
ansible.builtin.command:
cmd: "{{ llm_venv_path }}/bin/python -c 'import vllm; print(vllm.__version__)'"
register: vllm_version
changed_when: false
- name: Print vLLM version
ansible.builtin.debug:
msg: "vLLM version: {{ vllm_version.stdout }}"

32
ansible/roles/llm-inference/templates/llama-server.service.j2 Normal file
View File

@@ -0,0 +1,32 @@
[Unit]
Description=llama-server — Gemma 2 27B-it Q4_K_M (OpenAI-compatible inference)
After=network.target nvidia-persistenced.service
Wants=nvidia-persistenced.service
[Service]
Type=simple
User={{ llm_venv_owner }}
Group={{ llm_venv_owner }}
Environment="HOME=/home/{{ llm_venv_owner }}"
ExecStart=/opt/llama.cpp/build/bin/llama-server \
--model {{ llm_gguf_path }} \
--host {{ llm_serve_host }} \
--port {{ llm_serve_port }} \
--ctx-size {{ llm_max_model_len }} \
--n-gpu-layers {{ llm_gpu_layers }} \
--parallel {{ llm_parallel_slots }} \
--metrics
# NOTE: no --chat-template flag — llama-server auto-detects and uses the
# GGUF's own embedded Jinja chat template (verified correct Gemma-2
# start_of_turn/end_of_turn format for bartowski's gemma-2-27b-it-Q4_K_M).
# The built-in "--chat-template gemma" name does NOT match this model's
# expected format on this llama.cpp build and produced garbled completions.
Restart=on-failure
RestartSec=10
TimeoutStartSec=120
StandardOutput=journal
StandardError=journal
SyslogIdentifier=llama-server
[Install]
WantedBy=multi-user.target

29
ansible/roles/llm-inference/templates/vllm-serve.service.j2 Normal file
View File

@@ -0,0 +1,29 @@
[Unit]
Description=vLLM inference server — {{ llm_hf_model }}
After=network.target nvidia-persistenced.service
Wants=nvidia-persistenced.service
[Service]
Type=simple
User={{ llm_venv_owner }}
Group={{ llm_venv_owner }}
Environment="HF_TOKEN={{ vault_hf_token }}"
Environment="HOME=/home/{{ llm_venv_owner }}"
Environment="HF_HUB_CACHE={{ llm_hf_cache_dir }}"
ExecStart={{ llm_venv_path }}/bin/python -m vllm.entrypoints.openai.api_server \
--model {{ llm_hf_model }} \
--host {{ llm_serve_host }} \
--port {{ llm_serve_port }} \
--quantization {{ llm_quantization }} \
--gpu-memory-utilization {{ llm_gpu_memory_utilization }} \
--max-model-len {{ llm_max_model_len }} \
--enable-prefix-caching
Restart=on-failure
RestartSec=10
TimeoutStartSec=300
StandardOutput=journal
StandardError=journal
SyslogIdentifier=vllm-serve
[Install]
WantedBy=multi-user.target

19
ansible/roles/semaphore/defaults/main.yml
View File

@@ -74,3 +74,22 @@ semaphore_health_check_delay: 2
# Quadlet location (rootful)
# ---------------------------------------------------------------------------
semaphore_quadlet_dir: /etc/containers/systemd
# ---------------------------------------------------------------------------
# Ansible collections
# ---------------------------------------------------------------------------
# Host-side directory bind-mounted into the container at
# /home/semaphore/.ansible/collections so collections persist across
# container restarts and rebuilds.
semaphore_collections_dir: /opt/semaphore/ansible-collections
# UID of the semaphore user inside the container (uid=1001).
# The host-side collections directory must be owned by this UID so the
# container process can write collections into the bind-mount.
semaphore_container_uid: 1001
semaphore_ansible_collections:
- name: containers.podman
version: ">=1.10.0"
- name: effectivelywild.technitium_dns
version: ">=1.1.0"

38
ansible/roles/semaphore/tasks/collections.yml Normal file
View File

@@ -0,0 +1,38 @@
---
# ============================================================================
# Install Ansible collections into a host-side directory that is
# bind-mounted into the Semaphore container at the Ansible collections
# path (/home/semaphore/.ansible/collections).
#
# This persists collections across container restarts/rebuilds without
# baking them into the image. Add new collections to
# semaphore_ansible_collections in defaults/main.yml.
# ============================================================================
- name: Ensure Ansible collections directory exists on host
ansible.builtin.file:
path: "{{ semaphore_collections_dir }}"
state: directory
owner: "{{ semaphore_container_uid }}"
group: root
mode: "0755"
- name: Find ansible-galaxy binary inside Semaphore container
ansible.builtin.shell:
cmd: "podman exec {{ semaphore_container_name }} find /opt/semaphore/apps/ansible -name ansible-galaxy -type f | sort -V | tail -1"
register: ansible_galaxy_bin
changed_when: false
failed_when: ansible_galaxy_bin.stdout == ""
- name: Install Ansible collections into host collections directory
ansible.builtin.shell:
cmd: >
podman exec {{ semaphore_container_name }}
{{ ansible_galaxy_bin.stdout }} collection install
{{ item.name }}{% if item.version is defined %}:{{ item.version }}{% endif %}
-p /opt/ansible-collections
--force
loop: "{{ semaphore_ansible_collections }}"
loop_control:
label: "{{ item.name }}"
changed_when: true

4
ansible/roles/semaphore/tasks/main.yml
View File

@@ -31,6 +31,10 @@
ansible.builtin.import_tasks: semaphore.yml
tags: [semaphore]
- name: Install Ansible collections for Semaphore
ansible.builtin.import_tasks: collections.yml
tags: [semaphore, collections]
- name: Verify Semaphore is reachable
ansible.builtin.import_tasks: verify.yml
tags: [semaphore, verify]

8
ansible/roles/semaphore/templates/semaphore.container.j2
View File

@@ -17,6 +17,11 @@ PublishPort={{ semaphore_listen_address }}:{{ semaphore_listen_port }}:3000
# Persistent runtime state (project repos, tmp playbooks, etc.)
Volume={{ semaphore_data_volume }}:/var/lib/semaphore:Z
# Ansible collections — host-side dir populated by the semaphore role.
# Bind-mounted to a neutral path; ANSIBLE_COLLECTIONS_PATH tells
# Ansible where to find them without touching ~/.ansible/.
Volume={{ semaphore_collections_dir }}:/opt/ansible-collections:Z
# Database — points at the postgres container on the user-defined network
Environment=SEMAPHORE_DB_DIALECT=postgres
Environment=SEMAPHORE_DB_HOST={{ semaphore_postgres_container_name }}
@@ -47,6 +52,9 @@ Environment=SEMAPHORE_WEB_ROOT={{ semaphore_web_url }}
# Timezone matches host baseline
Environment=TZ=America/Chicago
# Tell Ansible where to find collections installed by the role
Environment=ANSIBLE_COLLECTIONS_PATH=/opt/ansible-collections
[Service]
Restart=always
TimeoutStartSec=180

4
boilerplates/traefik/compose.yaml
View File

@@ -16,6 +16,8 @@ services:
# Entrypoints
- "--entrypoints.ping.address=:8082"
- "--entrypoints.web.address=:80"
- "--entrypoints.gitea-ssh.address=:2221"
- "--entrypoints.jarvis-ssh.address=:10171"
- "--entrypoints.web.http.redirections.entryPoint.to=websecure"
- "--entrypoints.web.http.redirections.entryPoint.scheme=https"
- "--entrypoints.web.http.encodedCharacters.allowEncodedSlash=true"
@@ -42,6 +44,8 @@ services:
- "80:80"
- "443:443"
- "8080:8080"
- "2221:2221"
- "10171:10171"
volumes:
- /var/run/docker.sock:/var/run/docker.sock:ro
- traefik_certs:/var/traefik/certs/:rw

14
boilerplates/traefik/dynamic/gitea.yml
View File

@@ -15,3 +15,17 @@ http:
loadBalancer:
servers:
- url: "http://10.1.71.129:3000"
tcp:
routers:
gitea-ssh:
rule: "HostSNI(`*`)"
entryPoints:
- gitea-ssh
service: gitea-ssh
services:
gitea-ssh:
loadBalancer:
servers:
- address: "10.1.71.129:2221"

18
boilerplates/traefik/dynamic/jarvis.yml
View File

@@ -1,8 +1,8 @@
# ------------------------------------------------------------------------------
# FILE: boilerplates/traefik/dynamic/jarvis.yml
# DESCRIPTION: Traefik dynamic config routing jarvis.local.mk-labs.cloud
# to Hermes Agent dashboard on astro-orbiter (10.1.71.130:9119)
# and jarvis-api.local.mk-labs.cloud to gateway (10.1.71.130:8642)
# to Hermes Agent dashboard on carousel-of-progress (10.1.71.131:9119)
# and jarvis-api.local.mk-labs.cloud to gateway (10.1.71.131:8642)
# ------------------------------------------------------------------------------
http:
@@ -33,3 +33,17 @@ http:
loadBalancer:
servers:
- url: "http://10.1.71.131:8642"
tcp:
routers:
jarvis-ssh:
rule: "HostSNI(`*`)"
entryPoints:
- jarvis-ssh
service: jarvis-ssh
services:
jarvis-ssh:
loadBalancer:
servers:
- address: "10.1.71.131:22"

6
cluster/applications/couchdb/application.yaml
View File

@@ -22,13 +22,13 @@ spec:
- repoURL: https://gitea.mk-labs.cloud/rblundon/homelab.git
targetRevision: HEAD
ref: values
# Additional manifests (namespace, externalsecret)
# Additional manifests (namespace, externalsecret, ingress-public, etc.)
# Drop new raw manifests into templates/ — no filter to update.
- repoURL: https://gitea.mk-labs.cloud/rblundon/homelab.git
targetRevision: HEAD
path: cluster/applications/couchdb
path: cluster/applications/couchdb/templates
directory:
recurse: false
include: '{namespace.yaml,externalsecret.yaml}'
destination:
server: https://kubernetes.default.svc
namespace: couchdb

0
cluster/applications/couchdb/externalsecret.yaml → cluster/applications/couchdb/templates/externalsecret.yaml
View File

35
cluster/applications/couchdb/templates/ingress-public.yaml Normal file
View File

@@ -0,0 +1,35 @@
# ------------------------------------------------------------------------------
# FILE: cluster/applications/couchdb/ingress-public.yaml
# DESCRIPTION: External ingress for CouchDB — communicore.mk-labs.cloud only.
# Separate from the Helm-managed internal ingress so each cert
# has the correct CN for its hostname. CN validation in Obsidian
# Sync requires CN=communicore.mk-labs.cloud on the public cert.
# ------------------------------------------------------------------------------
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: couchdb-public
namespace: couchdb
annotations:
cert-manager.io/cluster-issuer: "letsencrypt-prod"
external-dns.alpha.kubernetes.io/hostname: "communicore.mk-labs.cloud"
external-dns.alpha.kubernetes.io/target: "ingress.mk-labs.cloud"
external-dns.alpha.kubernetes.io/public: "true"
nginx.ingress.kubernetes.io/proxy-body-size: "100m"
spec:
ingressClassName: nginx
rules:
- host: communicore.mk-labs.cloud
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: couchdb-svc-couchdb
port:
number: 5984
tls:
- secretName: couchdb-tls-public
hosts:
- communicore.mk-labs.cloud

0
cluster/applications/couchdb/namespace.yaml → cluster/applications/couchdb/templates/namespace.yaml
View File

6
cluster/applications/couchdb/values.yaml
View File

@@ -53,14 +53,16 @@ service:
type: ClusterIP
port: 5984
# Ingress configuration
# Ingress configuration — internal only
# External access via separate ingress manifest (ingress-public.yaml)
# which carries its own cert with CN=communicore.mk-labs.cloud
ingress:
enabled: true
className: nginx
annotations:
cert-manager.io/cluster-issuer: "letsencrypt-prod"
external-dns.alpha.kubernetes.io/hostname: "communicore.local.mk-labs.cloud"
external-dns.alpha.kubernetes.io/target: "10.1.71.80"
nginx.ingress.kubernetes.io/proxy-body-size: "100m"
hosts:
- communicore.local.mk-labs.cloud
tls:

337
cluster/applications/firecrawl/ARCHITECTURE.md Normal file
View File

@@ -0,0 +1,337 @@
# Firecrawl Architecture Diagram
## High-Level Overview
```
┌─────────────────────────────────────────────────────────────────────────┐
│ External Access │
│ spaceship-earth.local.mk-labs.cloud / firecrawl.local.mk-labs.cloud │
│ │ │
│ ▼ │
│ ┌──────────────────┐ │
│ │ Gateway API │ │
│ │ (HTTPRoute) │ │
│ │ TLS Termination │ │
│ └────────┬─────────┘ │
└─────────────────────────────────┼──────────────────────────────────────┘
│
┌─────────────────────────────────┼──────────────────────────────────────┐
│ Firecrawl Namespace │
│ │ │
│ ▼ │
│ ┌──────────────────┐ │
│ │ API Service │ │
│ │ (ClusterIP) │ │
│ │ Port 3002 │ │
│ └────────┬─────────┘ │
│ │ │
│ ┌──────────────────┼──────────────────┐ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────┐ ┌─────────────┐ ┌──────────────────┐ │
│ │ API Deployment │ │ Worker │ │ NUQ Worker │ │
│ │ (firecrawl-api)│ │ Deployment │ │ Deployment │ │
│ │ │ │(firecrawl- │ │ (firecrawl-api) │ │
│ │ Entrypoint: │ │ api) │ │ │ │
│ │ dist/src/ │ │ │ │ Entrypoint: │ │
│ │ index.js │ │ Entrypoint: │ │ dist/src/ │ │
│ │ │ │ dist/src/ │ │ services/worker/│ │
│ │ 4-6GB / 2 CPU │ │ services/ │ │ nuq-worker.js │ │
│ │ │ │ queue- │ │ │ │
│ │ Replicas: 1 │ │ worker.js │ │ 3-4GB / 1 CPU │ │
│ │ │ │ │ │ │ │
│ │ Health: │ │ 3-4GB/1 CPU │ │ Replicas: 1 │ │
│ │ /v0/health/* │ │ │ │ │ │
│ │ │ │ Replicas: 1 │ │ │ │
│ └────────┬────────┘ └──────┬──────┘ └────────┬─────────┘ │
│ │ │ │ │
│ └─────────┬────────┴──────────────────┘ │
│ │ │
│ ┌─────────┼──────────────┬──────────────┐ │
│ │ │ │ │ │
│ ▼ ▼ ▼ ▼ │
│ ┌────────────┐ ┌──────────┐ ┌──────────┐ ┌───────────────┐ │
│ │ Playwright │ │ Redis │ │PostgreSQL│ │ RabbitMQ │ │
│ │ Service │ │ │ │ │ │ │ │
│ │ │ │ │ │ │ │ │ │
│ │ Deployment │ │Deployment│ │StatefulSet│ │ Deployment │ │
│ │ (Harbor) │ │(Upstream)│ │ (Harbor) │ │ (Upstream) │ │
│ │ │ │ │ │ │ │ │ │
│ │ Service: │ │ Service: │ │ Service: │ │ Service: │ │
│ │ 3000 │ │ 6379 │ │ 5432 │ │ 5672, 15672 │ │
│ │ │ │ │ │ │ │ │ │
│ │ 4GB/2 CPU │ │ 1GB/0.5 │ │ 2GB/1 CPU│ │ 1GB/0.5 CPU │ │
│ │ │ │ │ │ │ │ │ │
│ │ tmpfs: │ │ │ │ PVC: │ │ Healthcheck: │ │
│ │ 1GB │ │ │ │ 10GB │ │ Required │ │
│ └────────────┘ └──────────┘ └──────────┘ └───────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────┐ │
│ │ NFS PVC │ │
│ │ 10GB │ │
│ │(nfs- │ │
│ │emporium) │ │
│ └──────────┘ │
│ │
│ Configuration: │
│ ┌──────────────┐ ┌────────────────┐ │
│ │ ConfigMap │ │ ExternalSecret │ │
│ │ (firecrawl- │ │ (firecrawl- │ │
│ │ config) │ │ secrets) │ │
│ │ │ │ │ │
│ │ - URLs │ │ ┌──────────┐ │ │
│ │ - Ports │ │ │1Password │ │ │
│ │ - Tuning │ │ │ Vault │ │ │
│ │ │ │ └────┬─────┘ │ │
│ └──────────────┘ │ │ │ │
│ │ ▼ │ │
│ │ - postgres- │ │
│ │ password │ │
│ │ - bull-auth- │ │
│ │ key │ │
│ └────────────────┘ │
└────────────────────────────────────────────────────────────────────────┘
```
## Service Communication Flow
### API Request Flow
```
External User
│
▼
Gateway API (TLS termination)
│
▼
API Service (port 3002)
│
├─────► Playwright Service (browser automation)
│ └─► Returns rendered HTML/Markdown
│
├─────► Redis (queue jobs, cache results)
│
├─────► PostgreSQL (store job metadata)
│
└─────► RabbitMQ (publish job events)
```
### Background Job Processing Flow
```
API receives request
│
▼
Job queued in Redis
│
▼
RabbitMQ notifies workers
│
├─────► Worker picks up job
│ └─► Processes scraping tasks
│
└─────► NUQ Worker picks up database jobs
└─► Processes queue from PostgreSQL
```
### Database Queue Flow (NUQ)
```
Job created in PostgreSQL (nuq.queue_scrape table)
│
▼
NUQ Worker polls for jobs (prefetch)
│
├─► Status: queued → active
│
├─► Worker processes job
│ └─► Calls Playwright or direct fetch
│
└─► Status: active → completed/failed
└─► Results stored in returnvalue column
```
## Build Pipeline Flow
```
GitHub: mendableai/firecrawl
│
▼
Tekton Pipeline (innoventions namespace)
│
├─────► firecrawl-api-build
│ │
│ ├─► Git Clone Task
│ │
│ ├─► Kaniko Build Task
│ │ └─► Multi-stage: Go → Node → Runtime
│ │
│ └─► Push to Harbor
│ └─► the-seas.local.mk-labs.cloud/applications/firecrawl-api:latest
│
├─────► firecrawl-playwright-build
│ │
│ ├─► Git Clone Task
│ │
│ ├─► Kaniko Build Task
│ │ └─► Node.js + Chromium install
│ │
│ └─► Push to Harbor
│ └─► .../firecrawl-playwright:latest
│
└─────► firecrawl-postgres-build
│
├─► Git Clone Task
│
├─► Kaniko Build Task
│ └─► postgres:16 + pg_cron + nuq.sql
│
└─► Push to Harbor
└─► .../firecrawl-postgres:latest
```
## Deployment Flow (ArgoCD)
```
Gitea Repository (homelab)
│
└─► cluster/applications/firecrawl/
│
▼
ArgoCD Application (sync)
│
├─► Wave 0: Namespace
│
├─► Wave 1: ConfigMap, ExternalSecret
│
├─► Wave 2: PostgreSQL StatefulSet + PVC
│ Redis Deployment
│ RabbitMQ Deployment
│
├─► Wave 3: Playwright Deployment
│ (waits for infrastructure)
│
├─► Wave 4: API Deployment
│ Worker Deployments
│ (waits for all dependencies)
│
└─► Wave 5: Services, HTTPRoute
```
## Resource Distribution
```
Total Cluster Capacity: ~48 CPU / ~96GB RAM (6 nodes)
Firecrawl Allocation:
┌────────────────────────────────────┐
│ API: 2 CPU / 4-6GB │ ████████████
│ Worker: 1 CPU / 3-4GB │ ██████
│ NUQ Worker: 1 CPU / 3-4GB │ ██████
│ Playwright: 2 CPU / 4GB │ ████████████
│ PostgreSQL: 1 CPU / 2GB │ ██████
│ Redis: 0.5 CPU / 1GB │ ███
│ RabbitMQ: 0.5 CPU / 1GB │ ███
├────────────────────────────────────┤
│ TOTAL: 8 CPU / 22GB RAM │
└────────────────────────────────────┘
Percentage of cluster: ~17% CPU, ~23% RAM
Headroom available: ✅ Excellent
```
## Data Flow
### Scrape Request Example
```
1. User → POST /v1/scrape {"url": "https://example.com"}
│
2. API validates request
│
3. API creates job in PostgreSQL (nuq.queue_scrape)
│
4. API queues job in Redis
│
5. RabbitMQ notifies workers
│
6. Worker picks up job
│
7. Worker calls Playwright service
│ └─► Playwright launches Chromium
│ └─► Renders page (handles JS)
│ └─► Returns HTML
│
8. Worker converts HTML → Markdown (Go library)
│
9. Worker stores result in PostgreSQL (returnvalue column)
│
10. Worker updates job status: completed
│
11. API returns result to user
└─► {"markdown": "...", "html": "...", "metadata": {...}}
```
---
## Network Policies (Future Enhancement)
```
firecrawl namespace:
│
├─► Ingress Rules:
│ ├─ Allow: Gateway API → API Service (port 3002)
│ └─ Deny: All other external traffic
│
├─► Egress Rules:
│ ├─ Allow: API → Playwright (port 3000)
│ ├─ Allow: API → Redis (port 6379)
│ ├─ Allow: API → PostgreSQL (port 5432)
│ ├─ Allow: API → RabbitMQ (port 5672)
│ ├─ Allow: All → Internet (for web scraping)
│ └─ Deny: All other cluster traffic
│
└─► Inter-Pod Rules:
├─ Allow: API → All infrastructure services
├─ Allow: Workers → All infrastructure services
├─ Deny: PostgreSQL → Internet (security)
└─ Deny: Redis → Internet (security)
```
---
## Monitoring & Observability (Future Enhancement)
```
Prometheus Metrics:
│
├─► API Metrics (port 3002/metrics)
│ ├─ Request rate
│ ├─ Response times
│ ├─ Job queue depth
│ └─ Error rates
│
├─► Worker Metrics (port 3005/metrics)
│ ├─ Jobs processed
│ ├─ Processing times
│ └─ Success/failure rates
│
├─► PostgreSQL Metrics
│ ├─ Connection pool usage
│ ├─ Query performance
│ └─ Table sizes
│
└─► Playwright Metrics
├─ Browser pool usage
├─ Page load times
└─ Chromium memory usage
Grafana Dashboards:
├─ Firecrawl Overview
├─ Job Processing Metrics
├─ Service Health
└─ Resource Utilization
```
---
**Diagram Version:** 1.0
**Last Updated:** June 6, 2026
**Created By:** Rocket Raccoon (CI/CD Specialist)

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# Firecrawl Environment Variables Reference
Complete reference for all environment variables used by Firecrawl services.
---
## Required Variables (CRITICAL)
These variables MUST be set for Firecrawl to function.
### Server Configuration
```yaml
HOST: "0.0.0.0" # Listen address
PORT: "3002" # Main API port
WORKER_PORT: "3005" # Worker liveness check port
EXTRACT_WORKER_PORT: "3004" # Extract worker port
```
### Database (PostgreSQL)
```yaml
POSTGRES_USER: "postgres" # Database username
POSTGRES_PASSWORD: "<SECRET>" # 🔐 Database password (from 1Password)
POSTGRES_DB: "postgres" # Database name
POSTGRES_HOST: "nuq-postgres" # K8s service name
POSTGRES_PORT: "5432" # PostgreSQL port
```
### Redis (Queue & Cache)
```yaml
REDIS_URL: "redis://redis:6379"
REDIS_RATE_LIMIT_URL: "redis://redis:6379"
```
### RabbitMQ (Message Broker)
```yaml
NUQ_RABBITMQ_URL: "amqp://rabbitmq:5672"
```
### Playwright Service
```yaml
PLAYWRIGHT_MICROSERVICE_URL: "http://playwright-service:3000/scrape"
```
### Authentication
```yaml
USE_DB_AUTHENTICATION: "false" # Set "true" for production with Supabase
```
---
## Security Variables (REQUIRED)
### Admin UI Protection
```yaml
BULL_AUTH_KEY: "<SECRET>" # 🔐 Queue admin UI password (from 1Password)
# URL: /admin/{BULL_AUTH_KEY}/queues
```
### API Testing
```yaml
TEST_API_KEY: "<SECRET>" # 🔐 Optional - API key for testing (from 1Password)
```
---
## Optional Variables (Features)
### AI Features (JSON Format, Extract API)
```yaml
# OpenAI Configuration
OPENAI_API_KEY: "<SECRET>" # 🔐 OpenAI API key (from 1Password)
OPENAI_BASE_URL: "" # Custom OpenAI-compatible endpoint
MODEL_NAME: "" # Override default model (e.g., gpt-4)
MODEL_EMBEDDING_NAME: "" # Override embedding model
# Ollama (Alternative to OpenAI)
OLLAMA_BASE_URL: "" # E.g., http://localhost:11434/api
# When using Ollama, set:
# MODEL_NAME: "deepseek-r1:7b"
# MODEL_EMBEDDING_NAME: "nomic-embed-text"
```
### Proxy Configuration
```yaml
PROXY_SERVER: "" # Full URL (http://0.1.2.3:1234) or IP:port
PROXY_USERNAME: "" # 🔐 Proxy username (from 1Password)
PROXY_PASSWORD: "" # 🔐 Proxy password (from 1Password)
```
### Search API Configuration
```yaml
# By default, uses Google search
# Optionally use SearXNG instead:
SEARXNG_ENDPOINT: "" # E.g., http://your.searxng.server
SEARXNG_ENGINES: "" # Comma-separated engine list
SEARXNG_CATEGORIES: "" # Comma-separated categories
```
### Monitoring & Logging
```yaml
LOGGING_LEVEL: "info" # debug, info, warn, error
SLACK_WEBHOOK_URL: "" # 🔐 Slack webhook for alerts (from 1Password)
```
### Supabase Integration (Advanced)
```yaml
# Note: Not currently configurable for self-hosted instances
SUPABASE_ANON_TOKEN: "" # For DB authentication
SUPABASE_URL: "" # Supabase project URL
SUPABASE_SERVICE_TOKEN: "" # Supabase service role key
```
---
## Performance Tuning
### Worker Pools
```yaml
NUM_WORKERS_PER_QUEUE: "8" # Number of workers per queue
CRAWL_CONCURRENT_REQUESTS: "10" # Concurrent crawl requests
MAX_CONCURRENT_JOBS: "5" # Maximum concurrent jobs
```
### Browser Pool (Playwright)
```yaml
BROWSER_POOL_SIZE: "5" # Browser instance pool size
MAX_CONCURRENT_PAGES: "10" # Max concurrent pages per browser
```
### Resource Limits (Self-Protection)
```yaml
MAX_CPU: "0.8" # 0.0-1.0, reject jobs above threshold
MAX_RAM: "0.8" # 0.0-1.0, reject jobs above threshold
```
### Timeouts
```yaml
HARNESS_STARTUP_TIMEOUT_MS: "60000" # 60 seconds startup timeout
```
---
## Playwright-Specific Variables
Set on `playwright-service` pods only:
```yaml
PORT: "3000" # Playwright service port
PROXY_SERVER: "" # Same as API proxy (if needed)
PROXY_USERNAME: "" # Same as API proxy (if needed)
PROXY_PASSWORD: "" # Same as API proxy (if needed)
ALLOW_LOCAL_WEBHOOKS: "false" # Security: block local webhooks
BLOCK_MEDIA: "" # Optional: block media resources
MAX_CONCURRENT_PAGES: "10" # Browser concurrency (same as API)
```
---
## Environment-Specific Variables
### Development
```yaml
ENV: "local"
```
### Production
```yaml
ENV: "production"
```
---
## FlyIO-Specific Variables (Not Used in K8s)
These variables are set by FlyIO platform and not needed for Kubernetes deployment:
```yaml
FLY_PROCESS_GROUP: "app" # Not used in K8s
```
---
## Deprecated / Unused Variables
Variables found in examples but not required for self-hosted deployment:
```yaml
AUTUMN_SECRET_KEY: "" # Mendable platform-specific
SELF_HOSTED_WEBHOOK_URL: "" # Custom webhook endpoint
LLAMAPARSE_API_KEY: "" # PDF parsing service (optional)
```
---
## Variable Precedence
1. **ExternalSecret** (from 1Password) - Highest priority for secrets
2. **ConfigMap** - Non-sensitive configuration
3. **Deployment env:** - Direct environment variables (override)
4. **Dockerfile defaults** - Lowest priority
---
## ConfigMap Example
Non-sensitive variables suitable for ConfigMap:
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: firecrawl-config
namespace: firecrawl
data:
# Service URLs
REDIS_URL: "redis://redis:6379"
REDIS_RATE_LIMIT_URL: "redis://redis:6379"
POSTGRES_HOST: "nuq-postgres"
POSTGRES_PORT: "5432"
POSTGRES_USER: "postgres"
POSTGRES_DB: "postgres"
NUQ_RABBITMQ_URL: "amqp://rabbitmq:5672"
PLAYWRIGHT_MICROSERVICE_URL: "http://playwright-service:3000/scrape"
# Server Configuration
HOST: "0.0.0.0"
PORT: "3002"
WORKER_PORT: "3005"
EXTRACT_WORKER_PORT: "3004"
USE_DB_AUTHENTICATION: "false"
ENV: "production"
# Performance Tuning
NUM_WORKERS_PER_QUEUE: "8"
CRAWL_CONCURRENT_REQUESTS: "10"
MAX_CONCURRENT_JOBS: "5"
BROWSER_POOL_SIZE: "5"
MAX_CONCURRENT_PAGES: "10"
HARNESS_STARTUP_TIMEOUT_MS: "60000"
# Logging
LOGGING_LEVEL: "info"
# Security
ALLOW_LOCAL_WEBHOOKS: "false"
```
---
## ExternalSecret Example
Sensitive variables synced from 1Password:
```yaml
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: firecrawl-secrets
namespace: firecrawl
spec:
refreshInterval: 1h
secretStoreRef:
name: onepassword-connect
kind: ClusterSecretStore
target:
name: firecrawl-secrets
creationPolicy: Owner
data:
# Required secrets
- secretKey: POSTGRES_PASSWORD
remoteRef:
key: firecrawl
property: postgres-password
- secretKey: BULL_AUTH_KEY
remoteRef:
key: firecrawl
property: bull-auth-key
# Optional secrets (uncomment when added to 1Password)
# - secretKey: OPENAI_API_KEY
# remoteRef:
# key: firecrawl
# property: openai-api-key
# - secretKey: TEST_API_KEY
# remoteRef:
# key: firecrawl
# property: test-api-key
```
---
## Usage in Deployments
### Combining ConfigMap and Secret
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: api
namespace: firecrawl
spec:
template:
spec:
containers:
- name: api
image: the-seas.local.mk-labs.cloud/applications/firecrawl-api:latest
envFrom:
# Load all non-sensitive variables
- configMapRef:
name: firecrawl-config
# Load all secrets
- secretRef:
name: firecrawl-secrets
env:
# Override specific variables if needed
- name: FLY_PROCESS_GROUP
value: "app"
```
### Playwright-Specific ConfigMap
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: playwright-service-config
namespace: firecrawl
data:
PORT: "3000"
ALLOW_LOCAL_WEBHOOKS: "false"
MAX_CONCURRENT_PAGES: "10"
```
---
## Validation Checklist
Before deployment, ensure:
- [ ] `POSTGRES_PASSWORD` set in 1Password
- [ ] `BULL_AUTH_KEY` set in 1Password (strong random value)
- [ ] All service URLs use correct K8s service names
- [ ] Ports match service definitions (3002, 3000, 5432, 6379, 5672)
- [ ] `USE_DB_AUTHENTICATION` is "false" (Supabase not available)
- [ ] `ENV` is "production" (not "local")
- [ ] Worker pool sizes appropriate for cluster capacity
- [ ] `ALLOW_LOCAL_WEBHOOKS` is "false" (security)
---
## Troubleshooting
### "Supabase client is not configured"
**Expected warning** - Supabase is not available for self-hosted instances. Safe to ignore.
### "You're bypassing authentication"
**Expected warning** - When `USE_DB_AUTHENTICATION=false`. Normal for self-hosted deployment.
### Connection refused errors
**Check:**
- Service names match environment variables
- Services are running: `kubectl get svc -n firecrawl`
- Pods are ready: `kubectl get pods -n firecrawl`
### Build failures
**Check:**
- Required build args are set
- Kaniko has sufficient memory (4GB for API build)
---
## Security Best Practices
1. **Generate strong secrets:**
```bash
# Generate BULL_AUTH_KEY
openssl rand -base64 32
# Generate POSTGRES_PASSWORD
openssl rand -base64 24
```
2. **Never expose PostgreSQL externally:**
- Use ClusterIP service only
- No LoadBalancer or NodePort
- Access via kubectl port-forward for maintenance
3. **Protect admin UI:**
- Keep BULL_AUTH_KEY secret
- Don't commit to git
- Rotate periodically
4. **Use ExternalSecrets:**
- Never put secrets in ConfigMaps
- Never commit secrets to git
- Store all sensitive data in 1Password
---
## References
- **Upstream .env Template:** `/tmp/firecrawl/SELF_HOST.md`
- **Docker Compose Reference:** `/tmp/firecrawl/docker-compose.yaml`
- **K8s Example ConfigMap:** `/tmp/firecrawl/examples/kubernetes/cluster-install/configmap.yaml`
---
**Last Updated:** June 6, 2026
**Maintained By:** Rocket Raccoon (CI/CD Specialist)

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# Firecrawl - Web Scraping & Crawling Service
**Project:** Platform Buildout - Firecrawl Deployment
**Service Name:** Spaceship Earth (EPCOT themed)
**DNS:** spaceship-earth.local.mk-labs.cloud (primary), firecrawl.local.mk-labs.cloud (alias)
**Namespace:** firecrawl
**Owner:** Rocket Raccoon (CI/CD Specialist)
**Status:** 🚧 IN PROGRESS - Day 1 Complete
---
## Overview
Firecrawl is a self-hosted web scraping and crawling API that converts URLs to LLM-ready content (Markdown, JSON, HTML). This deployment enables JARVIS web search capability.
**Upstream:** https://github.com/mendableai/firecrawl
**License:** AGPLv3 (open source)
### Capabilities
- **Search:** Search the web and get full page content
- **Scrape:** Convert URLs to markdown, HTML, screenshots, or structured JSON
- **Crawl:** Scrape all URLs of a website with a single request
- **Interact:** Click, scroll, write, wait before extracting (JS-heavy sites)
- **Map:** Discover all URLs on a website
---
## Architecture
### Services (5 components)
| Service | Image | CPU | Memory | Storage | Purpose |
|---------|-------|-----|--------|---------|---------|
| **API** | Harbor: firecrawl-api:latest | 2.0 | 4-6GB | - | Main REST API |
| **Worker** | Harbor: firecrawl-api:latest | 1.0 | 3-4GB | - | Background job processor |
| **NUQ Worker** | Harbor: firecrawl-api:latest | 1.0 | 3-4GB | - | Database queue worker |
| **Playwright** | Harbor: firecrawl-playwright:latest | 2.0 | 4GB | 1GB tmpfs | Browser automation |
| **PostgreSQL** | Harbor: firecrawl-postgres:latest | 1.0 | 2GB | 10GB PVC | Data storage |
| **Redis** | Upstream: redis:alpine | 0.5 | 1GB | - | Queue & cache |
| **RabbitMQ** | Upstream: rabbitmq:3-management | 0.5 | 1GB | - | Message broker |
**Total Resources:** ~8 CPU, ~22GB RAM, 11GB storage
### Service Dependencies
```
API Service ─┬─► Redis (queue/cache)
├─► PostgreSQL (data storage)
├─► RabbitMQ (message broker) ⚠️ HEALTH CHECK REQUIRED
└─► Playwright Service (browser automation)
Worker ──────┬─► Redis
├─► PostgreSQL
└─► RabbitMQ
NUQ Worker ──┴─► PostgreSQL
```
**Startup Order:**
1. Redis, PostgreSQL, RabbitMQ (infrastructure)
2. Playwright Service
3. API, Workers (after all dependencies ready)
---
## Build Strategy
**Hybrid Approach:** Build custom images via Tekton, use upstream for infrastructure.
### Custom Builds (Tekton → Harbor)
1. **firecrawl-api** (Multi-stage: Go + Node.js + Rust)
- Source: `apps/api/Dockerfile`
- Registry: `the-seas.local.mk-labs.cloud/applications/firecrawl-api:latest`
- Build time: ~15 minutes (first), ~5 minutes (cached)
- Used by: API, Worker, NUQ Worker (different entrypoints)
2. **firecrawl-playwright** (Node.js + Chromium)
- Source: `apps/playwright-service-ts/Dockerfile`
- Registry: `the-seas.local.mk-labs.cloud/applications/firecrawl-playwright:latest`
- Build time: ~10 minutes
3. **firecrawl-postgres** (PostgreSQL + pg_cron + init script)
- Source: `apps/nuq-postgres/Dockerfile`
- Registry: `the-seas.local.mk-labs.cloud/applications/firecrawl-postgres:latest`
- Build time: ~3 minutes
- Note: Custom build required for pg_cron extension and nuq.sql schema
### Upstream Images
- **Redis:** `redis:alpine`
- **RabbitMQ:** `rabbitmq:3-management`
---
## Configuration
### Required Secrets (1Password)
Managed via ExternalSecret → 1Password vault item: `firecrawl`
- `POSTGRES_PASSWORD` - Database password (CRITICAL)
- `BULL_AUTH_KEY` - Queue admin UI authentication (CRITICAL)
- `OPENAI_API_KEY` - Optional, for AI features
- `TEST_API_KEY` - Optional, for testing
### ConfigMap (Non-sensitive)
- Service URLs (Redis, PostgreSQL, RabbitMQ, Playwright)
- Port configuration (3002 API, 3005 Worker)
- Performance tuning (worker pools, concurrency limits)
- Logging level
### Environment Variables Reference
See [ENVIRONMENT_VARIABLES.md](./ENVIRONMENT_VARIABLES.md) for complete list.
---
## Deployment Timeline
### Day 1 (June 6) - Investigation & Planning ✅
- Repository analysis complete
- Architecture decisions finalized
- Environment configuration researched
- Day 2 plan created
### Day 2 (June 7) - Tekton Pipelines 🚧
- Create 3 build pipelines (API, Playwright, PostgreSQL)
- Test builds and push to Harbor
- Validate image integrity
### Day 3 (June 8) - Kubernetes Manifests
- Create Deployments, Services, StatefulSets
- Configure ConfigMaps and ExternalSecrets
- Set up HTTPRoute for ingress
### Day 4 (June 9) - Secrets & Configuration
- Create 1Password vault item
- Configure ExternalSecret sync
- Validate configuration
### Day 5 (June 10) - Deployment & Testing
- ArgoCD Application creation
- Deploy to cluster
- Service health validation
- API functionality testing
### Day 6 (June 11) - JARVIS Integration
- Configure JARVIS environment variables
- Test web search functionality
- End-to-end validation
- Documentation delivery
**Target Completion:** June 12, 2026
---
## Access & URLs
**Primary Access:**
- API: https://spaceship-earth.local.mk-labs.cloud
- Alias: https://firecrawl.local.mk-labs.cloud
- Queue UI: https://spaceship-earth.local.mk-labs.cloud/admin/[BULL_AUTH_KEY]/queues
**Health Endpoints:**
- Liveness: https://spaceship-earth.local.mk-labs.cloud/v0/health/liveness
- Readiness: https://spaceship-earth.local.mk-labs.cloud/v0/health/readiness
**Internal Services (cluster-only):**
- Playwright: http://playwright-service.firecrawl.svc:3000
- PostgreSQL: postgresql://nuq-postgres.firecrawl.svc:5432
- Redis: redis://redis.firecrawl.svc:6379
- RabbitMQ: amqp://rabbitmq.firecrawl.svc:5672
- RabbitMQ Mgmt: http://rabbitmq.firecrawl.svc:15672
---
## API Usage Examples
### Scrape a URL
```bash
curl -X POST https://spaceship-earth.local.mk-labs.cloud/v1/scrape \
-H 'Content-Type: application/json' \
-d '{
"url": "https://example.com"
}'
```
### Search the Web
```bash
curl -X POST https://spaceship-earth.local.mk-labs.cloud/v1/search \
-H 'Content-Type: application/json' \
-d '{
"query": "kubernetes best practices"
}'
```
### Crawl a Website
```bash
curl -X POST https://spaceship-earth.local.mk-labs.cloud/v1/crawl \
-H 'Content-Type: application/json' \
-d '{
"url": "https://docs.example.com"
}'
```
---
## Directory Structure
```
cluster/applications/firecrawl/
├── README.md # This file
├── ENVIRONMENT_VARIABLES.md # Complete env var reference
├── namespace.yaml # Namespace definition
├── configmap.yaml # Non-sensitive configuration
├── externalsecret.yaml # 1Password secret sync
├── postgresql/
│ ├── statefulset.yaml # PostgreSQL StatefulSet
│ ├── service.yaml # PostgreSQL Service
│ └── pvc.yaml # Persistent Volume Claim
├── redis/
│ ├── deployment.yaml # Redis Deployment
│ └── service.yaml # Redis Service
├── rabbitmq/
│ ├── deployment.yaml # RabbitMQ Deployment
│ └── service.yaml # RabbitMQ Service
├── playwright/
│ ├── deployment.yaml # Playwright Deployment
│ └── service.yaml # Playwright Service
├── api/
│ ├── deployment.yaml # API Deployment
│ └── service.yaml # API Service
├── workers/
│ ├── worker-deployment.yaml # Queue Worker Deployment
│ └── nuq-worker-deployment.yaml # NUQ Worker Deployment
├── ingress/
│ └── httproute.yaml # Gateway API HTTPRoute
└── argocd/
└── application.yaml # ArgoCD Application manifest
```
---
## Tekton Pipelines
Build pipelines located in `cluster/tekton/pipelines/`:
- `firecrawl-api-build.yaml` - API service build
- `firecrawl-playwright-build.yaml` - Playwright service build
- `firecrawl-postgres-build.yaml` - PostgreSQL build
**Trigger Builds:**
```bash
# API build
kubectl create -f cluster/tekton/pipelines/firecrawl-api-build.yaml
# Playwright build
kubectl create -f cluster/tekton/pipelines/firecrawl-playwright-build.yaml
# PostgreSQL build
kubectl create -f cluster/tekton/pipelines/firecrawl-postgres-build.yaml
```
**Monitor Builds:**
```bash
# List pipeline runs
tkn pipelinerun list -n innoventions
# Watch logs
tkn pipelinerun logs -f <pipelinerun-name> -n innoventions
```
---
## Troubleshooting
### API Pod Not Starting
**Check:**
1. RabbitMQ health status (API depends on healthy RabbitMQ)
2. Environment variables (ConfigMap and Secret)
3. Database connectivity (PostgreSQL)
**Commands:**
```bash
kubectl logs -n firecrawl deployment/api
kubectl describe pod -n firecrawl -l app=api
kubectl get externalsecret -n firecrawl
```
### Build Failures
**Check:**
1. Harbor connectivity
2. Harbor credentials secret
3. Build resource limits (increase if OOM)
**Commands:**
```bash
tkn pipelinerun describe <name> -n innoventions
kubectl logs -n innoventions <kaniko-pod>
```
### Database Connection Errors
**Check:**
1. PostgreSQL pod status
2. PVC binding
3. Init script execution
**Commands:**
```bash
kubectl logs -n firecrawl statefulset/nuq-postgres
kubectl exec -it -n firecrawl nuq-postgres-0 -- psql -U postgres -d postgres -c '\d nuq.queue_scrape'
```
---
## Monitoring
**Resource Usage:**
```bash
kubectl top pods -n firecrawl
```
**Service Health:**
```bash
# API liveness
curl -k https://spaceship-earth.local.mk-labs.cloud/v0/health/liveness
# API readiness
curl -k https://spaceship-earth.local.mk-labs.cloud/v0/health/readiness
# Playwright health
kubectl exec -n firecrawl deployment/playwright-service -- curl localhost:3000/health
```
**Queue Status:**
Navigate to: https://spaceship-earth.local.mk-labs.cloud/admin/[BULL_AUTH_KEY]/queues
---
## Security Notes
1. **PostgreSQL Credentials:** Stored in 1Password, synced via ExternalSecret
2. **Admin UI:** Protected by BULL_AUTH_KEY (in URL path)
3. **Database Port:** NOT exposed outside cluster (ClusterIP only)
4. **TLS:** All external traffic encrypted via cert-manager certificates
5. **RBAC:** Service accounts scoped to firecrawl namespace
---
## References
- **Upstream Docs:** https://docs.firecrawl.dev
- **GitHub:** https://github.com/mendableai/firecrawl
- **Self-Hosting Guide:** https://github.com/mendableai/firecrawl/blob/main/SELF_HOST.md
- **K8s Examples:** `/tmp/firecrawl/examples/kubernetes/`
- **Mission Brief:** `~/friday/inbox/agents/rocket/FIRECRAWL-DEPLOYMENT-MISSION-BRIEF.md`
---
## Changelog
### 2026-06-06 - Day 1 Complete
- Initial repository structure created
- Architecture decisions finalized
- Build strategy documented
- Environment variables researched
- Ready for Day 2 (pipeline creation)
---
**Contact:** Rocket Raccoon (CI/CD Specialist)
**Project Manager:** Pepper Potts
**Cluster:** fastpass (Talos Kubernetes)
**Last Updated:** June 6, 2026

6
cluster/applications/firecrawl/deployment-playwright.yaml
View File

@@ -41,16 +41,14 @@ spec:
- name: tmpfs
mountPath: /tmp
livenessProbe:
httpGet:
path: /
tcpSocket:
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 5
failureThreshold: 3
readinessProbe:
httpGet:
path: /
tcpSocket:
port: 3000
initialDelaySeconds: 5
periodSeconds: 5

304
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@@ -0,0 +1,304 @@
# Journey Into Imagination — Minecraft Server Deployment Plan
**Application:** PaperMC Minecraft Server
**Namespace:** `minecraft`
**Deployment name:** `papermc`
**Service / DNS name:** `journey-into-imagination`
**ArgoCD path:** `cluster/applications/minecraft/`
**Reviewed:** _Pending Ryan approval_
---
## Version Pinning
| Component | Version |
|-----------|---------|
| itzg/minecraft-server image | `2026.7.0` |
| PaperMC (Minecraft version) | `1.21.4` (build 232 — last stable 1.21.x) |
| SleepMost plugin | `5.6.2` (auto-downloaded at server start) |
> **Note on PaperMC versioning:** PaperMC migrated to a new version scheme (`26.x`) as of mid-2026. The task requested 1.21.x, so we pin `VERSION=1.21.4`. When you're ready to upgrade to the latest stable, change `VERSION` in `deployment.yaml` and `configmap.yaml` to `26.2` and bump the image tag to the latest `itzg/minecraft-server` release. Check plugin compatibility (SleepMost) before upgrading.
---
## Storage
- **StorageClass:** `pure-block` (confirmed live — `kubectl get storageclass`)
- **PVC size:** 50Gi — expandable via Pure Storage CSI if the world grows
- **Mount:** `/data` inside the container (worlds, plugins, configs all live here)
---
## Networking Architecture
```
Internet (players)
|
| DNS: journey-into-imagination.mk-labs.cloud → WAN IP (Cloudflare A record)
|
UniFi UDM Pro
| Port Forward: WAN:25565 → 10.1.71.80:25565 (TCP)
|
ingress-nginx LoadBalancer (10.1.71.80)
| tcp-services ConfigMap: 25565 → minecraft/journey-into-imagination:25565
|
journey-into-imagination Service (ClusterIP, minecraft namespace)
|
papermc Pod (port 25565)
```
---
## Prerequisites — Manual Steps Before Deploying
### 1. Generate a real RCON password
```bash
# Generate a secure password
openssl rand -base64 24
# Output example: abc123... (save this — you'll need it)
# Base64-encode it for the Secret
echo -n 'YOUR_GENERATED_PASSWORD' | base64
```
Edit `cluster/applications/minecraft/secret.yaml` and replace the placeholder value:
```yaml
data:
rcon-password: <your-base64-encoded-password>
```
> ⚠️ Do NOT commit real credentials in plaintext. If this is a concern long-term,
> migrate to ExternalSecrets + 1Password (Day 2 operation).
### 2. UniFi Port Forward (Ryan — manual step)
In UniFi Network → Firewall & Security → Port Forwarding:
- **Name:** `minecraft-papermc`
- **Protocol:** TCP
- **External Port:** 25565
- **Internal IP:** 10.1.71.80 (ingress-nginx LoadBalancer)
- **Internal Port:** 25565
- **Enabled:** Yes
### 3. Cloudflare DNS Records (Ryan — manual step)
In Cloudflare Dashboard → mk-labs.cloud zone:
**A Record (public server address):**
| Type | Name | Value | Proxy |
|------|------|-------|-------|
| A | `journey-into-imagination` | `<your-WAN-IP>` | DNS only (gray cloud) |
> Minecraft uses raw TCP — Cloudflare proxy (orange cloud) will NOT work.
> Use DNS-only mode (gray cloud).
**SRV Record (allows clients to connect without specifying port):**
| Type | Name | Service | Proto | Priority | Weight | Port | Target |
|------|------|---------|-------|----------|--------|------|--------|
| SRV | `_minecraft._tcp.journey-into-imagination` | `_minecraft` | `_tcp` | 0 | 5 | 25565 | `journey-into-imagination.mk-labs.cloud` |
> The SRV record allows players to connect using `journey-into-imagination.mk-labs.cloud`
> without specifying `:25565`. Most modern Minecraft clients resolve SRV records.
### 4. Internal DNS (Technitium — automated via ExternalDNS)
The Service in `service.yaml` has this annotation:
```yaml
external-dns.alpha.kubernetes.io/hostname: journey-into-imagination.local.mk-labs.cloud
```
ExternalDNS (Technitium provider) will create the internal A record automatically when ArgoCD syncs.
No manual action required for internal DNS.
---
## Deployment Steps
### Step 1: Update the RCON Secret
Complete prerequisite #1 above, then commit the updated secret.
### Step 2: Commit and Push to Gitea
```bash
cd ~/git/homelab
git status # review what changed
git add cluster/applications/minecraft/ cluster/platform/ingress-nginx/values.yaml
git commit -m "feat(minecraft): add Journey Into Imagination PaperMC server
- Namespace, Deployment, Service (journey-into-imagination), PVC, Secret, ConfigMap
- ArgoCD Application at cluster/applications/minecraft/
- ingress-nginx TCP forwarding: 25565 -> minecraft/journey-into-imagination:25565
- PaperMC 1.21.4, itzg/minecraft-server:2026.7.0, SleepMost 5.6.2
- StorageClass: pure-block, 50Gi PVC for world data"
git push
```
### Step 3: Verify ArgoCD Discovers and Syncs
ArgoCD app-of-apps auto-discovers `cluster/applications/minecraft/application.yaml`.
```bash
# Watch ArgoCD pick it up (from carousel-of-progress)
kubectl get application minecraft -n argocd -w
# Or check ArgoCD UI at argocd.local.mk-labs.cloud
```
Wait for status: `Synced` / `Healthy`
### Step 4: Watch the Pod Start Up
First startup will download the PaperMC jar — this can take 2-3 minutes.
```bash
kubectl get pods -n minecraft -w
# Tail the logs to watch PaperMC boot
kubectl logs -n minecraft -l app.kubernetes.io/component=papermc -f
```
Look for:
```
[Server thread/INFO]: Done (X.XXXs)! For help, type "help"
```
### Step 5: Install SleepMost Plugin (auto via PLUGINS env var)
The `PLUGINS` env var in the ConfigMap points to the SleepMost JAR download URL.
itzg/minecraft-server downloads and installs it automatically on startup.
Verify it loaded:
```bash
kubectl exec -n minecraft -it deployment/papermc -- rcon-cli
# In rcon console:
plugins
# Should list: SleepMost
```
### Step 6: Verify Connectivity
**Internal test (from carousel-of-progress):**
```bash
# Port probe — should succeed
nc -zv journey-into-imagination.local.mk-labs.cloud 25565
# Or via the ClusterIP directly
kubectl get svc -n minecraft
nc -zv <CLUSTER-IP> 25565
```
**External test (after UniFi port forward + DNS configured):**
- Open Minecraft Java Edition
- Add server: `journey-into-imagination.mk-labs.cloud`
- Should connect and show MOTD: "Journey Into Imagination"
---
## Plugin Details
### SleepMost v5.6.2
- **Source:** https://github.com/mrgeneralq/sleep-most
- **Download:** https://github.com/mrgeneralq/sleep-most/releases/download/v5.6.2/SleepMost-5.6.2.jar
- **Compatibility:** PaperMC 1.8 through 1.21.x (use 5.6.2 for 1.21.x; 5.7.0+ drops backward compat)
- **Configuration:** Lives at `/data/plugins/SleepMost/config.yml` after first boot
Default behavior: configurable percentage of online players must sleep to skip night.
To tune (exec into the pod after first start):
```bash
kubectl exec -n minecraft -it deployment/papermc -- bash
cat /data/plugins/SleepMost/config.yml
# Edit as needed, then /sleepmost reload in rcon
```
> **Geyser compatibility note:** SleepMost 5.x does NOT require Geyser to function.
> If you add Geyser later for Bedrock crossplay, SleepMost is compatible.
---
## Day 2 Operations
### Enabling the Whitelist
When ready to lock the server to approved players:
1. Edit `cluster/applications/minecraft/configmap.yaml`:
```yaml
WHITE_LIST: "true"
ENFORCE_WHITELIST: "true"
```
2. Add players via RCON (live, no restart needed):
```bash
kubectl exec -n minecraft -it deployment/papermc -- rcon-cli
whitelist add <player_name>
whitelist list
```
3. Commit the ConfigMap change for GitOps consistency.
Note: the Deployment will restart when the ConfigMap changes (env var reload).
Players will be briefly disconnected — plan accordingly.
### Console / RCON Access
```bash
# Interactive RCON (from inside the pod)
kubectl exec -n minecraft -it deployment/papermc -- rcon-cli
# One-shot command
kubectl exec -n minecraft -it deployment/papermc -- rcon-cli "list"
kubectl exec -n minecraft -it deployment/papermc -- rcon-cli "say Server restarting in 5 minutes"
```
### Upgrading PaperMC Version
1. Check PaperMC API: `curl -sA 'Mozilla/5.0' https://fill.papermc.io/v3/projects/paper/versions | head`
2. Update `VERSION` in `deployment.yaml` env vars and the comment header
3. Update image tag if a new `itzg/minecraft-server` release is out
4. Verify SleepMost compatibility with the new version
5. Commit, push — ArgoCD handles the rolling restart (Recreate strategy)
### Expanding PVC Storage
Pure Storage CSI supports online volume expansion:
```bash
kubectl patch pvc papermc-world-data -n minecraft \
-p '{"spec":{"resources":{"requests":{"storage":"100Gi"}}}}'
```
No pod restart required.
### Backups
No automated backup is configured in this skeleton.
Recommended Day 2 addition: CronJob that runs `rcon-cli save-all` + `rcon-cli save-off`,
copies `/data/world*` to a separate PVC or object store, then `rcon-cli save-on`.
---
## Troubleshooting
| Symptom | Check |
|---------|-------|
| Pod stuck in `Init` / slow start | `kubectl logs -n minecraft -l app.kubernetes.io/component=papermc` — jar download may be slow |
| Port 25565 connection refused externally | Verify UniFi port forward is active; `kubectl get svc -n minecraft` shows correct ClusterIP |
| Players can't authenticate | `ONLINE_MODE=true` requires Mojang auth; check player has a valid Java account |
| World data lost after pod restart | Verify PVC is `Bound`; check `pure-block` StorageClass is healthy |
| EULA error in logs | `EULA=TRUE` is set in deployment.yaml — this should not occur; check env var injection |
---
## File Manifest Summary
| File | Purpose |
|------|---------|
| `namespace.yaml` | `minecraft` namespace |
| `application.yaml` | ArgoCD Application (sync-wave 20) |
| `pvc.yaml` | 50Gi pure-block PVC for world data |
| `secret.yaml` | RCON password (⚠️ placeholder — update before deploy) |
| `configmap.yaml` | server.properties overrides + SleepMost plugin download |
| `deployment.yaml` | PaperMC Deployment (Recreate strategy, resource limits set) |
| `service.yaml` | ClusterIP Service named `journey-into-imagination` |
| `../../../platform/ingress-nginx/values.yaml` | Added `tcp: 25565` forwarding entry |

26
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@@ -0,0 +1,26 @@
---
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: minecraft
namespace: argocd
annotations:
argocd.argoproj.io/sync-wave: "20"
spec:
project: default
source:
repoURL: https://gitea.mk-labs.cloud/rblundon/homelab.git
targetRevision: main
path: cluster/applications/minecraft
directory:
recurse: false
exclude: application.yaml # prevent self-reference loop with apps-of-apps
destination:
server: https://kubernetes.default.svc
namespace: minecraft
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=true

124
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@@ -0,0 +1,124 @@
---
# Minecraft world backup — hourly CronJob, 3-day local retention
#
# Strategy (two-tier):
# Short-term : this CronJob — hourly tarballs on papermc-backups PVC, 72-hour retention
# Long-term : Pure FlashArray protection group snapshots on utilidor (managed separately)
#
# Backup sequence:
# 1. RCON save-all — flush all dirty chunks to disk
# 2. RCON save-off — pause auto-save to keep the world consistent during tar
# 3. tar world directories to /backups/world-YYYY-MM-DDTHH-MM.tar.gz
# 4. RCON save-on — re-enable auto-save
# 5. Prune backups older than 3 days
#
# RCON password sourced from the papermc-rcon Secret (ESO-managed, same as server).
# The backup pod mounts both PVCs read-write; world-data is safe because the
# server has already quiesced saves via RCON before the tar runs.
#
# Note: both PVCs are RWO. The backup job runs only while the main server pod is
# running (RCON is reachable), so there is no volume attach conflict — they are
# mounted on the same node by the scheduler. If the server pod is down, the backup
# job will fail at the RCON step, which is correct behavior (nothing to back up).
apiVersion: batch/v1
kind: CronJob
metadata:
name: minecraft-backup
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: backup
spec:
schedule: "0 * * * *" # every hour on the hour
concurrencyPolicy: Forbid # skip if a previous backup is still running
successfulJobsHistoryLimit: 3
failedJobsHistoryLimit: 3
jobTemplate:
spec:
backoffLimit: 0 # don't retry — a partial backup is worse than no backup
template:
metadata:
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: backup
spec:
restartPolicy: Never
securityContext:
runAsNonRoot: false
fsGroup: 1000
containers:
- name: backup
# Same image as the server — has both /bin/sh and rcon-cli built in.
# itzg/rcon-cli is distroless (no shell); don't use it for scripted jobs.
image: itzg/minecraft-server:2026.7.0
imagePullPolicy: IfNotPresent
env:
- name: RCON_HOST
value: "journey-into-imagination.minecraft.svc.cluster.local"
- name: RCON_PORT
value: "25575"
- name: RCON_PASSWORD
valueFrom:
secretKeyRef:
name: papermc-rcon
key: rcon-password
command:
- /bin/sh
- -c
- |
set -e
TIMESTAMP=$(date -u +%Y-%m-%dT%H-%M)
BACKUP_FILE="/backups/world-${TIMESTAMP}.tar.gz"
RETAIN_DAYS=3
echo "[backup] Starting backup at ${TIMESTAMP}"
# Step 1: quiesce the world
echo "[backup] Flushing chunks (save-all)..."
rcon-cli save-all
echo "[backup] Pausing auto-save (save-off)..."
rcon-cli save-off
# Step 2: archive world directories (nether/end may not exist yet)
echo "[backup] Archiving world to ${BACKUP_FILE}..."
DIRS_TO_BACKUP="world"
[ -d /data/world_nether ] && DIRS_TO_BACKUP="$DIRS_TO_BACKUP world_nether"
[ -d /data/world_the_end ] && DIRS_TO_BACKUP="$DIRS_TO_BACKUP world_the_end"
FILES_TO_BACKUP=""
[ -f /data/whitelist.json ] && FILES_TO_BACKUP="$FILES_TO_BACKUP whitelist.json"
[ -f /data/ops.json ] && FILES_TO_BACKUP="$FILES_TO_BACKUP ops.json"
[ -f /data/banned-players.json ] && FILES_TO_BACKUP="$FILES_TO_BACKUP banned-players.json"
[ -f /data/banned-ips.json ] && FILES_TO_BACKUP="$FILES_TO_BACKUP banned-ips.json"
tar -czf "${BACKUP_FILE}" -C /data $DIRS_TO_BACKUP $FILES_TO_BACKUP || {
echo "[backup] ERROR: tar failed — re-enabling saves and exiting"
rcon-cli save-on
exit 1
}
echo "[backup] Archive complete: $(du -sh ${BACKUP_FILE} | cut -f1)"
# Step 3: resume auto-save
echo "[backup] Resuming auto-save (save-on)..."
rcon-cli save-on
# Step 4: prune old backups
echo "[backup] Pruning backups older than ${RETAIN_DAYS} days..."
find /backups -name "world-*.tar.gz" -mtime +${RETAIN_DAYS} -delete
REMAINING=$(find /backups -name "world-*.tar.gz" | wc -l)
echo "[backup] Done. ${REMAINING} backup(s) retained."
volumeMounts:
- name: world-data
mountPath: /data
readOnly: true
- name: backups
mountPath: /backups
volumes:
- name: world-data
persistentVolumeClaim:
claimName: papermc-world-data
- name: backups
persistentVolumeClaim:
claimName: papermc-backups

19
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@@ -0,0 +1,19 @@
---
# Minecraft backup storage — local hourly backups, 3-day retention
# Sized for ~72 backup tarballs; world data compresses well (~90% reduction typical)
# Long-term retention handled by Pure FlashArray protection group snapshots (utilidor)
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: papermc-backups
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: backup
spec:
accessModes:
- ReadWriteOnce
storageClassName: px-fa-direct-access
resources:
requests:
storage: 10Gi

58
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@@ -0,0 +1,58 @@
---
# server.properties overrides for Journey Into Imagination
# itzg/minecraft-server reads these as environment variables and
# writes them into server.properties on startup.
# Full list: https://docker-minecraft-server.readthedocs.io/en/latest/configuration/server-properties/
apiVersion: v1
kind: ConfigMap
metadata:
name: papermc-config
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
data:
# Server identity
MOTD: "Journey Into Imagination"
SERVER_NAME: "Journey Into Imagination"
# Game settings
GAMEMODE: "survival"
DIFFICULTY: "normal"
PVP: "true"
MAX_PLAYERS: "20"
ALLOW_FLIGHT: "true"
SPAWN_PROTECTION: "0"
SEED: "-2786778798491440147"
# Auth
ONLINE_MODE: "false"
# Mojang's sessionserver blocks some datacenter/homelab IPs via Cloudflare WAF.
# enforce-secure-profile=false allows players to join without mandatory profile key validation.
# ONLINE_MODE=true still enforces Mojang account auth — this only relaxes the key signing requirement.
ENFORCE_SECURE_PROFILE: "false"
# Whitelist — set to true when ready to lock down the server
WHITE_LIST: "false"
ENFORCE_WHITELIST: "false"
# Performance / tick safety
MAX_TICK_TIME: "180000"
# RCON (enabled so plugins/admin tools can connect)
ENABLE_RCON: "true"
RCON_PORT: "25575"
# Plugin auto-download — minecraft-prometheus-exporter for Grafana metrics
# v3.1.2: https://github.com/sladkoff/minecraft-prometheus-exporter
# Exposes /metrics on port 9225 (HTTP, Prometheus scrape target)
#
# SkinsRestorer v15.12.4 — restores player skins in offline-mode
# https://github.com/SkinsRestorer/SkinsRestorer
# Players set skins via /skin <username>; fetches from Mojang even in offline-mode
PLUGINS: |
https://github.com/sladkoff/minecraft-prometheus-exporter/releases/download/v3.1.2/minecraft-prometheus-exporter-3.1.2.jar
https://github.com/SkinsRestorer/SkinsRestorer/releases/download/15.12.4/SkinsRestorer.jar
https://github.com/mrgeneralq/sleep-most/releases/download/v5.5.3/sleep-most-5.5.3.jar
https://github.com/852DuartePls/Bukkit-AntiSilverFish/releases/download/v0.0.4/AntiSilverFish-0.0.4.jar

202
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@@ -0,0 +1,202 @@
---
# PaperMC Minecraft Server — Journey Into Imagination
#
# Image: itzg/minecraft-server:2026.7.0
# PaperMC version: 26.2 (build 62, latest stable as of 2026-07-19; requires Java 25)
# NOTE: 26.x series uses PaperMC's independent versioning (not Minecraft version-based).
# Plugin ecosystem is still catching up — verify plugin compat before adding new ones.
#
# itzg image documentation: https://docker-minecraft-server.readthedocs.io
apiVersion: apps/v1
kind: Deployment
metadata:
name: papermc
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
app.kubernetes.io/version: "26.2"
spec:
replicas: 1
# Recreate strategy — Minecraft server requires exclusive access to world data.
# RollingUpdate WILL cause world corruption if both pods mount the PVC simultaneously.
strategy:
type: Recreate
selector:
matchLabels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
template:
metadata:
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
app.kubernetes.io/version: "26.2"
spec:
securityContext:
runAsNonRoot: false # itzg image requires root for some setup steps
fsGroup: 1000
containers:
- name: papermc
# Pinned tag — never use :latest in production
image: itzg/minecraft-server:2026.7.0
imagePullPolicy: IfNotPresent
ports:
- name: minecraft
containerPort: 25565
protocol: TCP
- name: rcon
containerPort: 25575
protocol: TCP
- name: metrics
containerPort: 9225
protocol: TCP
env:
- name: EULA
value: "TRUE"
- name: TYPE
value: "PAPER"
- name: VERSION
value: "26.2"
# Server settings from ConfigMap
- name: MOTD
valueFrom:
configMapKeyRef:
name: papermc-config
key: MOTD
- name: SERVER_NAME
valueFrom:
configMapKeyRef:
name: papermc-config
key: SERVER_NAME
- name: GAMEMODE
valueFrom:
configMapKeyRef:
name: papermc-config
key: GAMEMODE
- name: DIFFICULTY
valueFrom:
configMapKeyRef:
name: papermc-config
key: DIFFICULTY
- name: PVP
valueFrom:
configMapKeyRef:
name: papermc-config
key: PVP
- name: MAX_PLAYERS
valueFrom:
configMapKeyRef:
name: papermc-config
key: MAX_PLAYERS
- name: ALLOW_FLIGHT
valueFrom:
configMapKeyRef:
name: papermc-config
key: ALLOW_FLIGHT
- name: SPAWN_PROTECTION
valueFrom:
configMapKeyRef:
name: papermc-config
key: SPAWN_PROTECTION
- name: SEED
valueFrom:
configMapKeyRef:
name: papermc-config
key: SEED
- name: ONLINE_MODE
valueFrom:
configMapKeyRef:
name: papermc-config
key: ONLINE_MODE
- name: ENFORCE_SECURE_PROFILE
valueFrom:
configMapKeyRef:
name: papermc-config
key: ENFORCE_SECURE_PROFILE
- name: WHITE_LIST
valueFrom:
configMapKeyRef:
name: papermc-config
key: WHITE_LIST
- name: ENFORCE_WHITELIST
valueFrom:
configMapKeyRef:
name: papermc-config
key: ENFORCE_WHITELIST
- name: MAX_TICK_TIME
valueFrom:
configMapKeyRef:
name: papermc-config
key: MAX_TICK_TIME
- name: ENABLE_RCON
valueFrom:
configMapKeyRef:
name: papermc-config
key: ENABLE_RCON
- name: RCON_PORT
valueFrom:
configMapKeyRef:
name: papermc-config
key: RCON_PORT
# Plugin auto-download — itzg image fetches these URLs on startup
- name: PLUGINS
valueFrom:
configMapKeyRef:
name: papermc-config
key: PLUGINS
# RCON password from Secret
- name: RCON_PASSWORD
valueFrom:
secretKeyRef:
name: papermc-rcon
key: rcon-password
volumeMounts:
- name: world-data
mountPath: /data
- name: sleep-most-config
mountPath: /data/plugins/sleep-most/config.yml
subPath: config.yml
readOnly: true
- name: prometheus-exporter-config
mountPath: /data/plugins/PrometheusExporter/config.yml
subPath: config.yml
readOnly: true
resources:
requests:
cpu: "1"
memory: "2Gi"
limits:
cpu: "4"
memory: "6Gi"
# Startup probe — give the server time to download PaperMC jar on first boot
startupProbe:
tcpSocket:
port: minecraft
initialDelaySeconds: 30
periodSeconds: 10
failureThreshold: 30 # 5 minutes total
# Liveness probe — restart if the TCP port goes away
livenessProbe:
tcpSocket:
port: minecraft
initialDelaySeconds: 0
periodSeconds: 30
failureThreshold: 3
# Readiness probe — only route traffic when server is accepting connections
readinessProbe:
tcpSocket:
port: minecraft
initialDelaySeconds: 0
periodSeconds: 10
failureThreshold: 3
volumes:
- name: world-data
persistentVolumeClaim:
claimName: papermc-world-data
- name: sleep-most-config
configMap:
name: sleep-most-config
- name: prometheus-exporter-config
configMap:
name: prometheus-exporter-config

28
cluster/applications/minecraft/externalsecret.yaml Normal file
View File

@@ -0,0 +1,28 @@
---
# ExternalSecret — pulls RCON password from 1Password Connect
# Prereq: create a "minecraft" item in the mk-labs 1Password vault
# with a field named "rcon_password" set to a strong random password.
# Generate one: openssl rand -base64 24
#
# ClusterSecretStore: onepassword-connect (platform/onepassword-connect/)
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: papermc-rcon
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
spec:
refreshInterval: 1h
secretStoreRef:
name: onepassword-connect
kind: ClusterSecretStore
target:
name: papermc-rcon
creationPolicy: Owner
data:
- secretKey: rcon-password
remoteRef:
key: minecraft
property: rcon_password

704
cluster/applications/minecraft/grafana-dashboard.yaml Normal file
View File

@@ -0,0 +1,704 @@
---
# Grafana dashboard — Minecraft server stats (ID 20659)
# Source: https://grafana.com/grafana/dashboards/20659
# Plugin: sladkoff/minecraft-prometheus-exporter v3.1.2
#
# NOTE: Dashboard 20659 was written for exporter v1/v2 (no mc_ prefix).
# Queries have been fixed for v3 metric names (mc_tps, mc_players_online_total, etc.)
# Players score / Play time / Advancements panels show mc_players_total as placeholder —
# per-player stat tracking metrics are not available in v3.
apiVersion: v1
kind: ConfigMap
metadata:
name: dashboard-minecraft
namespace: monitoring
labels:
grafana_dashboard: "1"
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: grafana-dashboard
data:
minecraft-server-stats.json: |
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"description": "Modern dashboard for minecraft-prometheus-exporter\r\nhttps://github.com/Joshi425/minecraft-exporter",
"editable": true,
"fiscalYearStartMonth": 0,
"gnetId": 20659,
"graphTooltip": 0,
"id": null,
"links": [],
"panels": [
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 16,
"panels": [],
"title": "Server stats",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"cellOptions": {
"type": "auto"
},
"inspect": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Time"
},
"properties": [
{
"id": "displayName",
"value": "Time"
},
{
"id": "custom.align"
}
]
},
{
"matcher": {
"id": "byRegexp",
"options": "/Value/"
},
"properties": [
{
"id": "unit",
"value": "short"
},
{
"id": "decimals",
"value": 2
},
{
"id": "custom.align"
}
]
}
]
},
"gridPos": {
"h": 9,
"w": 4,
"x": 0,
"y": 1
},
"id": 9,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "10.4.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"editorMode": "code",
"expr": "mc_players_online_total",
"instant": true,
"legendFormat": "{{player}}",
"refId": "A"
}
],
"title": "Players",
"transformations": [
{
"id": "merge",
"options": {
"reducers": []
}
}
],
"type": "table"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-GrYlRd"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 25,
"gradientMode": "scheme",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": 3600000,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ms"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 10,
"x": 4,
"y": 1
},
"id": 13,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"disableTextWrap": false,
"editorMode": "builder",
"exemplar": false,
"expr": "mc_tick_duration_median",
"fullMetaSearch": false,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "{{dimension_id}}",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Time per tick",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-RdYlGr"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 27,
"gradientMode": "opacity",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": 3600000,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"max": 20,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 10,
"x": 14,
"y": 1
},
"id": 12,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"disableTextWrap": false,
"editorMode": "builder",
"exemplar": false,
"expr": "mc_tps",
"fullMetaSearch": false,
"includeNullMetadata": false,
"instant": false,
"legendFormat": "{{ dimension_id }}",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Ticks per second",
"type": "timeseries"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 10
},
"id": 15,
"panels": [],
"title": "Player & entity metrics",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": []
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 13,
"x": 0,
"y": 11
},
"id": 14,
"options": {
"legend": {
"displayMode": "table",
"placement": "right",
"showLegend": true,
"values": [
"value"
]
},
"pieType": "donut",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "10.4.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"disableTextWrap": false,
"editorMode": "builder",
"expr": "sum(mc_loaded_chunks_total)",
"fullMetaSearch": false,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "{{entity}}",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Entities loaded",
"type": "piechart"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": []
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 11,
"x": 13,
"y": 11
},
"id": 18,
"options": {
"legend": {
"displayMode": "table",
"placement": "right",
"showLegend": true,
"values": [
"value",
"percent"
]
},
"pieType": "pie",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"disableTextWrap": false,
"editorMode": "builder",
"expr": "mc_players_total",
"fullMetaSearch": false,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "{{player}}",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Players score",
"type": "piechart"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlPu"
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 13,
"x": 0,
"y": 19
},
"id": 3,
"options": {
"displayMode": "gradient",
"maxVizHeight": 300,
"minVizHeight": 16,
"minVizWidth": 8,
"namePlacement": "top",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showUnfilled": true,
"sizing": "auto",
"text": {},
"valueMode": "color"
},
"pluginVersion": "10.4.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"editorMode": "code",
"expr": "mc_players_total",
"legendFormat": "{{ player }}",
"range": true,
"refId": "A"
}
],
"title": "Play time",
"type": "bargauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlPu"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 11,
"x": 13,
"y": 19
},
"id": 17,
"options": {
"displayMode": "gradient",
"maxVizHeight": 300,
"minVizHeight": 16,
"minVizWidth": 8,
"namePlacement": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showUnfilled": true,
"sizing": "auto",
"valueMode": "color"
},
"pluginVersion": "10.4.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"disableTextWrap": false,
"editorMode": "code",
"expr": "mc_players_total",
"fullMetaSearch": false,
"includeNullMetadata": true,
"instant": false,
"legendFormat": "{{player}}",
"range": true,
"refId": "A",
"useBackend": false
}
],
"title": "Advancements made",
"type": "bargauge"
}
],
"refresh": "10s",
"schemaVersion": 39,
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "now-30m",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Minecraft server stats [Prometheus]",
"uid": "prometheus",
"version": 15,
"weekStart": ""
}

8
cluster/applications/minecraft/namespace.yaml Normal file
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@@ -0,0 +1,8 @@
---
apiVersion: v1
kind: Namespace
metadata:
name: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/managed-by: argocd

35
cluster/applications/minecraft/prometheus-exporter-config.yaml Normal file
View File

@@ -0,0 +1,35 @@
---
# minecraft-prometheus-exporter plugin configuration
# Port set to 9225 to match Service/ServiceMonitor definitions.
# Default is 9940 — must be explicitly set here or the plugin won't be scraped.
# Mounted read-only at /data/plugins/PrometheusExporter/config.yml
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus-exporter-config
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
data:
config.yml: |
host: 0.0.0.0
port: 9225
enable_metrics:
entities_total: true
villagers_total: true
loaded_chunks_total: true
jvm_memory: true
players_online_total: true
players_total: true
whitelisted_players: false
tps: true
world_size: true
jvm_threads: true
jvm_gc: true
tick_duration_median: true
tick_duration_average: true
tick_duration_min: false
tick_duration_max: true
player_online: false
player_statistic: false

18
cluster/applications/minecraft/pvc.yaml Normal file
View File

@@ -0,0 +1,18 @@
---
# World data persistent volume — Pure Storage FlashArray direct access CSI
# StorageClass: px-fa-direct-access (direct FlashArray block, bypasses Portworx data plane)
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: papermc-world-data
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
spec:
accessModes:
- ReadWriteOnce
storageClassName: px-fa-direct-access
resources:
requests:
storage: 50Gi

39
cluster/applications/minecraft/service.yaml Normal file
View File

@@ -0,0 +1,39 @@
---
# Service named after the thematic identity: journey-into-imagination
# This is the DNS name used in ingress-nginx TCP forwarding config.
# Internal DNS: journey-into-imagination.local.mk-labs.cloud
apiVersion: v1
kind: Service
metadata:
name: journey-into-imagination
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
annotations:
# Internal DNS via ExternalDNS + Technitium
external-dns.alpha.kubernetes.io/hostname: "journey-into-imagination.local.mk-labs.cloud,journey-into-imagination.mk-labs.cloud"
# Non-standard external port 10182 → internal 25565 (via ingress-nginx tcp forwarding)
# Public DNS via ExternalDNS + Cloudflare
# Cloudflare proxy MUST be off — TCP (non-HTTP) traffic cannot be proxied
external-dns.alpha.kubernetes.io/public: "true"
external-dns.alpha.kubernetes.io/target: "ingress.mk-labs.cloud"
external-dns.alpha.kubernetes.io/cloudflare-proxied: "false"
spec:
type: ClusterIP
selector:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
ports:
- name: minecraft
port: 25565
targetPort: 25565
protocol: TCP
- name: rcon
port: 25575
targetPort: 25575
protocol: TCP
- name: metrics
port: 9225
targetPort: 9225
protocol: TCP

23
cluster/applications/minecraft/servicemonitor.yaml Normal file
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@@ -0,0 +1,23 @@
---
# ServiceMonitor — tells Prometheus to scrape minecraft-prometheus-exporter
# Plugin exposes /metrics on port 9225 (HTTP)
# Dashboard: https://grafana.com/grafana/dashboards/20659
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: minecraft
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
# Label required for kube-prometheus-stack to discover this ServiceMonitor
release: monitoring
spec:
selector:
matchLabels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
endpoints:
- port: metrics
path: /metrics
interval: 15s

121
cluster/applications/minecraft/sleep-most-config.yaml Normal file
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@@ -0,0 +1,121 @@
---
# sleep-most plugin configuration
# Single-player sleep: calculation-method: players, players-required: 1
# Mounted read-only at /data/plugins/sleep-most/config.yml
# To change settings: edit this ConfigMap, commit, push — ArgoCD will sync,
# then run: kubectl exec -n minecraft deployment/papermc -- rcon-cli "sleepmost reload"
apiVersion: v1
kind: ConfigMap
metadata:
name: sleep-most-config
namespace: minecraft
labels:
app.kubernetes.io/name: minecraft
app.kubernetes.io/component: papermc
data:
config.yml: |
# WELCOME TO THE OFFICIAL SLEEP-MOST PLUGIN
# AUTHORS: MrGeneralQ
# CONTRIBUTORS: Malin, Nozemi, HorrendousEntity
# VERSION: 5.5.3
# SUPPORT NEEDED? Join our discord at --> https://discord.pseudonova.com/ WE ARE HAPPY TO HELP YOU FURTHER!
# YOU CAN FIND THE DOCS FOR THIS PLUGIN HERE --> https://mrgeneralq.gitbook.io/sleepmost/
# WARNING: SUPPORT IS ONLY GIVEN TO THE LATEST VERSION
update-checker-enabled: true
# specify the speed/ticks for the animation
# DEFAULT: 85 (recommended)
nightcycle-animation-speed: 85
nightcycle-animation-speed-max: 170
sleep:
# for each world, you can create different configurations
world:
enabled: true
calculation-method: players
percentage-required: 0.5
players-required: 1
mob-no-target: true
use-exempt: false
use-afk: false
use-bossbar: false
use-sound-night-skipped: false
use-sound-storm-skipped: false
use-title-night-skipped: false
use-title-storm-skipped: false
exempt-creative: false
exempt-spectator: false
prevent-sleep: false
prevent-phantom: false
nightcycle-animation: false
storm-sleep: true
skip-delay: 0
heal: false
feed: false
skip-night-sound: ui.toast.challenge_complete
skip-storm-sound: entity.wither.spawn
reset-time-since-rest: true
allow-kick: false
gsit-hook: false
non-sleeping-clock-animation: false
skip-msg-audience: all
gsit-sleep: true
insomnia-milk: false
gsit-sleep-cmd: false
force-nightcycle-animation: true
non-sleeping-sound: false
disable-daylight-cycle-gamerule: true
dynamic-animation-speed: false
phantom-reset-audience: all
clock-animation: true
skip-storm: true
allow-sleep-cmd: true
insomnia-chance: 0.0
exempt-below-y: -1
non-sleeping-title: false
exempt-flying: false
world2:
enabled: false
calculation-method: players
percentage-required: 0.5
players-required: 1
mob-no-target: true
use-exempt: false
use-afk: false
use-bossbar: false
use-sound-night-skipped: false
use-sound-storm-skipped: false
use-title-night-skipped: false
use-title-storm-skipped: false
exempt-creative: false
exempt-spectator: false
prevent-sleep: false
prevent-phantom: false
nightcycle-animation: false
storm-sleep: true
skip-delay: 0
heal: false
feed: false
skip-night-sound: ui.toast.challenge_complete
skip-storm-sound: entity.wither.spawn
reset-time-since-rest: true
# specify the time which the world will be set after reset
time-after-reset: 0
# configure when players can and cannot sleep
# this also controls when the animation will stop
# please note that this does not
time:
night-start: 12542
night-end: 23850
messages:
cooldown: 10
# debug mode
debug-mode: false

9429
cluster/applications/monitoring/dashboards.yaml
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30
cluster/applications/monitoring/values.yaml
View File

@@ -212,6 +212,36 @@ prometheus:
# array: utilidor
# array_type: physical
# astro-orbiter — LLM inference host (Ryzen 7 5800XT / RTX 3090)
# Managed by roles/llm-inference (Phase monitoring). Three targets:
# node (system), gpu (nvidia_gpu_exporter), llama-server (inference metrics)
- job_name: node-astro-orbiter
scrape_interval: 30s
static_configs:
- targets:
- 10.1.71.130:9100
labels:
hostname: astro-orbiter
- job_name: gpu-astro-orbiter
scrape_interval: 15s
static_configs:
- targets:
- 10.1.71.130:9835
labels:
hostname: astro-orbiter
gpu: rtx3090
- job_name: llama-server-astro-orbiter
scrape_interval: 15s
metrics_path: /metrics
static_configs:
- targets:
- 10.1.71.130:8000
labels:
hostname: astro-orbiter
model: bartowski/gemma-2-27b-it-GGUF
# ─── Grafana ──────────────────────────────────────────────────────────────────
grafana:
enabled: true

147
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@@ -0,0 +1,147 @@
# Signal CLI REST API Deployment
## Overview
Signal CLI REST API deployed in the `connections` namespace, accessible at `connections.local.mk-labs.cloud` with automatic TLS certificate management.
## Infrastructure Details
### Namespace
- **Name**: `connections`
- **Theme**: EPCOT Connections (Communication & World Showcase)
### Deployment
- **Name**: `signal-cli-rest-api`
- **Image**: `bbernhard/signal-cli-rest-api:0.85`
- **Replicas**: 1 (MUST be 1 - signal-cli state is not multi-instance safe)
- **Strategy**: Recreate (prevents dual mount of PVC)
- **Mode**: json-rpc
### Service
- **Name**: `connections`
- **Type**: ClusterIP
- **Port**: 8080
- **Selector**: `app.kubernetes.io/name: signal-cli-rest-api`
### Ingress
- **Name**: `connections`
- **Class**: nginx
- **Hostname**: `connections.local.mk-labs.cloud`
- **TLS**: Enabled with cert-manager
- **Certificate**: Auto-provisioned via Let's Encrypt (letsencrypt-prod ClusterIssuer)
- **DNS Challenge**: Cloudflare DNS-01
### Storage
- **PVC**: `signal-cli-data`
- **Mount Path**: `/home/.local/share/signal-cli`
## ArgoCD Deployment
### Application
- **Name**: `signal-cli`
- **Namespace**: `argocd`
- **Sync Wave**: 8
- **Source Path**: `cluster/applications/signal-cli/`
- **Auto Sync**: Enabled
- **Auto Prune**: Enabled
- **Self Heal**: Enabled
## SSL/TLS Status
### External Access (Ingress)
✅ **Working** - TLS certificate successfully issued by Let's Encrypt
- Certificate CN: `connections.local.mk-labs.cloud`
- Issuer: Let's Encrypt (YR2)
- Valid until: September 10, 2026
- DNS-01 challenge completed successfully via Cloudflare
### Signal Server Communication
✅ **Working** - No SSL errors detected
- Signal-cli uses Java's built-in truststore (OpenJDK 21)
- Java truststore includes Signal's CA certificates
- No custom CA injection needed
### Note on curl SSL Errors
The initial SSL error encountered with curl was due to the system CA bundle being outdated in the container. This does NOT affect signal-cli functionality because:
1. Signal-cli uses Java's truststore, not the system CA bundle
2. Java's truststore is properly maintained and includes Signal's root CA
3. All signal-cli operations work correctly without SSL errors
## Endpoints
### Health Check
```bash
GET https://connections.local.mk-labs.cloud/v1/health
```
### About/Version
```bash
GET https://connections.local.mk-labs.cloud/v1/about
```
Expected response:
```json
{
"versions": ["v1", "v2"],
"build": 2,
"mode": "json-rpc",
"version": "0.85",
"capabilities": {
"v2/send": ["quotes", "mentions"]
}
}
```
## Migration from cluster/platform/connections
Files were moved from `cluster/platform/connections/` to `cluster/applications/signal-cli/`:
- ✅ namespace.yaml
- ✅ deployment.yaml
- ✅ service.yaml
- ✅ persistentvolumeclaim.yaml
- ✅ application.yaml (updated source path)
- ✅ ingress.yaml (newly created)
## Current Status
**Production Gateway**: astro-orbiter VM (10.1.71.130:8080)
- signal-cli 0.14.3 native daemon mode with HTTP JSON-RPC API
- Account +126****8840 registered and operational
- Hermes connected via SIGNAL_HTTP_URL=http://10.1.71.130:8080
**K8s Deployment Status**:
- ✅ Infrastructure deployed and ready (ingress, PVC, service)
- ✅ Native signal-cli daemon running in multi-account mode
- ✅ Ingress accessible at https://connections.local.mk-labs.cloud
- ❌ Cannot complete Signal registration from K8s network path
- Linking fails with "Connection closed unexpectedly" during WebSocket handshake
- Signal servers reject connections from K8s cluster (HTTP 499, same on all nodes)
- Issue persists with hostNetwork=true
- Likely NAT/firewall/IP reputation blocking Signal WebSocket connections
**When Migrating from Astro-Orbiter**:
1. Link account from a non-K8s VM (e.g., carousel-of-progress)
2. Copy working signal-cli data to K8s PVC
3. Update Hermes: SIGNAL_HTTP_URL=https://connections.local.mk-labs.cloud
4. Restart Hermes gateway
## Next Steps
1. **Investigate K8s egress networking** - why Signal rejects WebSocket connections from cluster
2. **Alternative**: Keep Signal gateway on dedicated VM outside K8s
## Monitoring
Check deployment status:
```bash
kubectl get all,ingress,certificate -n connections
```
Check ArgoCD sync status:
```bash
kubectl get application signal-cli -n argocd
```
View logs:
```bash
kubectl logs -n connections deployment/signal-cli-rest-api -f
```

35
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# ------------------------------------------------------------------------------
# Platform: connections (Signal Gateway)
# Theme: epcot-connections (EPCOT: Communication & World Showcase)
# Wave 8 — Signal-cli REST API for Hermes notifications
# ------------------------------------------------------------------------------
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: signal-cli
namespace: argocd
annotations:
argocd.argoproj.io/sync-wave: "8"
spec:
project: default
source:
repoURL: https://gitea.mk-labs.cloud/rblundon/homelab.git
targetRevision: main
path: cluster/applications/signal-cli
directory:
exclude: "application.yaml"
destination:
server: https://kubernetes.default.svc
namespace: connections
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=true
retry:
limit: 5
backoff:
duration: 5s
factor: 2
maxDuration: 3m

65
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apiVersion: apps/v1
kind: Deployment
metadata:
name: signal-cli-rest-api
namespace: connections
labels:
app.kubernetes.io/name: signal-cli-rest-api
app.kubernetes.io/component: messaging-gateway
app.kubernetes.io/version: "0.85" # Pin version initially
spec:
replicas: 1 # MUST be 1 - signal-cli state is not multi-instance safe
strategy:
type: Recreate # Avoid PVC split-brain during updates
selector:
matchLabels:
app.kubernetes.io/name: signal-cli-rest-api
template:
metadata:
labels:
app.kubernetes.io/name: signal-cli-rest-api
spec:
hostNetwork: true # Use host network for Signal WebSocket connectivity
containers:
- name: signal-cli
image: bbernhard/signal-cli-rest-api:latest
imagePullPolicy: IfNotPresent
command: ["/usr/bin/signal-cli"]
args:
- "--config"
- "/var/lib/signal-cli"
- "daemon"
- "--http"
- "0.0.0.0:8080"
ports:
- containerPort: 8080
name: http
protocol: TCP
volumeMounts:
- name: signal-data
mountPath: /var/lib/signal-cli
resources:
requests:
memory: "256Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
livenessProbe:
tcpSocket:
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 5
failureThreshold: 3
readinessProbe:
tcpSocket:
port: 8080
initialDelaySeconds: 10
periodSeconds: 5
timeoutSeconds: 3
failureThreshold: 2
volumes:
- name: signal-data
persistentVolumeClaim:
claimName: signal-cli-data

29
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@@ -0,0 +1,29 @@
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: connections
namespace: connections
labels:
app.kubernetes.io/name: connections
app.kubernetes.io/component: messaging-gateway
app.kubernetes.io/part-of: mk-labs
annotations:
# TLS certificate managed by cert-manager
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
ingressClassName: nginx
tls:
- hosts:
- connections.local.mk-labs.cloud
secretName: connections-tls
rules:
- host: connections.local.mk-labs.cloud
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: connections
port:
number: 8080

11
cluster/applications/signal-cli/namespace.yaml Normal file
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@@ -0,0 +1,11 @@
apiVersion: v1
kind: Namespace
metadata:
name: signal-cli
labels:
app.kubernetes.io/name: signal-cli
app.kubernetes.io/component: messaging-gateway
theme: epcot
pod-security.kubernetes.io/enforce: baseline
pod-security.kubernetes.io/audit: baseline
pod-security.kubernetes.io/warn: baseline

16
cluster/applications/signal-cli/persistentvolumeclaim.yaml Normal file
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@@ -0,0 +1,16 @@
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: signal-cli-data
namespace: connections
labels:
app.kubernetes.io/name: signal-cli
app.kubernetes.io/component: storage
spec:
accessModes:
- ReadWriteOnce
storageClassName: nfs-emporium # NFS CSI storage class
resources:
requests:
storage: 2Gi # signal-cli state is small, 2Gi provides headroom
volumeMode: Filesystem

17
cluster/applications/signal-cli/service.yaml Normal file
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@@ -0,0 +1,17 @@
apiVersion: v1
kind: Service
metadata:
name: connections
namespace: connections
labels:
app.kubernetes.io/name: connections
app.kubernetes.io/component: messaging-gateway
spec:
type: ClusterIP
ports:
- port: 8080
targetPort: 8080
protocol: TCP
name: http
selector:
app.kubernetes.io/name: signal-cli-rest-api

103
cluster/platform/democratic-csi/values.yaml Normal file
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@@ -0,0 +1,103 @@
# ------------------------------------------------------------------------------
# democratic-csi Helm Values for Pure FlashArray (utilidor)
#
# Backend: Pure Storage FlashArray via freenas-iscsi driver
# Target: utilidor.local.mk-labs.cloud (10.1.71.5)
#
# Note: The freenas-iscsi driver works with Pure API v2+
# Pure FlashArray exposes an API compatible with FreeNAS/TrueNAS
# ------------------------------------------------------------------------------
csiDriver:
name: "org.democratic-csi.iscsi-pure"
storageClasses:
- name: pure-iscsi-block
defaultClass: false
reclaimPolicy: Delete
volumeBindingMode: Immediate
allowVolumeExpansion: true
parameters:
fsType: ext4
mountOptions: []
secrets:
provisioner-secret:
controller-publish-secret:
node-stage-secret:
node-publish-secret:
controller-expand-secret:
driver:
config:
driver: freenas-iscsi
instance_id: mk-labs-utilidor
httpConnection:
protocol: https
host: utilidor.local.mk-labs.cloud
port: 443
# Pure API token from pure-exporter secret
apiKey: "6157dea0-4c0d-b14b-6e6a-453aa649355d"
allowInsecure: true
apiVersion: 2
zfs:
# Pure volumes are created in a pod/volume group context
# This maps to Pure's volume naming scheme
datasetParentName: csi-volumes
detachedSnapshotsDatasetParentName: csi-snapshots
datasetEnableQuotas: false
datasetEnableReservation: false
datasetPermissionsMode: "0777"
datasetPermissionsUser: 0
datasetPermissionsGroup: 0
iscsi:
targetPortal: "10.1.71.5:3260"
targetPortals: []
# Pure FlashArray iSCSI configuration
interface: default
namePrefix: "csi-"
nameSuffix: ""
targetGroups:
# Pure uses host groups for iSCSI targets
# Leave empty to auto-select
extentCommentTemplate: "Kubernetes CSI volume {{ parameters.[csi.storage.k8s.io/pvc/namespace] }}/{{ parameters.[csi.storage.k8s.io/pvc/name] }}"
extentInsecureTpc: true
extentXenCompat: false
extentDisablePhysicalBlocksize: true
extentBlocksize: 512
extentRpm: "SSD"
extentAvailThreshold: 0
controller:
enabled: true
replicaCount: 3
strategy: deployment
priorityClassName: system-cluster-critical
externalAttacher:
enabled: true
externalProvisioner:
enabled: true
externalResizer:
enabled: true
externalSnapshotter:
enabled: false
node:
enabled: true
rbac:
enabled: true
driver:
logLevel: info
# Talos requires hostNetwork for iSCSI operations
hostNetwork: true
hostIPC: true
dnsPolicy: ClusterFirstWithHostNet

42
cluster/platform/external-dns-cloudflare/application.yaml Normal file
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@@ -0,0 +1,42 @@
# ------------------------------------------------------------------------------
# Platform: external-dns-cloudflare
# Wave 6 — same wave as existing external-dns (Technitium)
# Multi-source: Helm chart from upstream + ExternalSecret from repo
#
# PREREQUISITE: 1Password item "cloudflare-external-dns" with field "api-token"
# must exist before the ExternalSecret can sync and ExternalDNS can start.
# ------------------------------------------------------------------------------
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: external-dns-cloudflare
namespace: argocd
annotations:
argocd.argoproj.io/sync-wave: "6"
spec:
project: default
sources:
# Source 1: Helm chart from upstream
- repoURL: https://kubernetes-sigs.github.io/external-dns
chart: external-dns
targetRevision: 1.15.1
helm:
valueFiles:
- $values/cluster/platform/external-dns-cloudflare/values.yaml
# Source 2: Repo — values ref + ExternalSecret manifest
- repoURL: https://gitea.mk-labs.cloud/rblundon/homelab.git
targetRevision: main
path: cluster/platform/external-dns-cloudflare
ref: values
directory:
exclude: "application.yaml"
destination:
server: https://kubernetes.default.svc
namespace: external-dns-cloudflare
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=true
- ServerSideApply=true

32
cluster/platform/external-dns-cloudflare/externalsecret.yaml Normal file
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@@ -0,0 +1,32 @@
# ------------------------------------------------------------------------------
# ExternalSecret — Cloudflare API Token
# Pulled from 1Password, materialized in the external-dns-cloudflare namespace.
#
# PREREQUISITE: Ryan must create the following 1Password item before ArgoCD
# can sync this secret successfully:
# - Item name: cloudflare-external-dns
# - Field name: api-token
# - Value: A Cloudflare API token scoped to DNS Edit on mk-labs.cloud
#
# Until that item exists, the ExternalSecret will report SecretSyncedError —
# this is expected and acceptable. The ExternalDNS pod will fail to start
# until the secret is available.
# ------------------------------------------------------------------------------
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: cloudflare-api-token
namespace: external-dns-cloudflare
spec:
refreshInterval: 1h
secretStoreRef:
kind: ClusterSecretStore
name: onepassword-connect
target:
name: cloudflare-api-token
creationPolicy: Owner
data:
- secretKey: cloudflare_api_token
remoteRef:
key: cloudflare-external-dns # 1Password item name
property: api-token # 1Password field name

52
cluster/platform/external-dns-cloudflare/values.yaml Normal file
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@@ -0,0 +1,52 @@
# ------------------------------------------------------------------------------
# external-dns-cloudflare — Helm Values
# Chart: https://kubernetes-sigs.github.io/external-dns
#
# Provider: Cloudflare
# Zone: mk-labs.cloud (public)
#
# This is a second ExternalDNS instance running alongside the existing
# Technitium (rfc2136) instance which handles local.mk-labs.cloud.
# ------------------------------------------------------------------------------
provider:
name: cloudflare
env:
- name: CF_API_TOKEN
valueFrom:
secretKeyRef:
name: cloudflare-api-token
key: cloudflare_api_token
# Only manage records in the public zone
domainFilters:
- mk-labs.cloud
# Explicitly exclude internal subdomain — prevents local.mk-labs.cloud from
# leaking into Cloudflare (domainFilters matches subdomains by default)
excludeDomains:
- local.mk-labs.cloud
# Sources: ingress and services
sources:
- ingress
- service
# Opt-in model: only process resources explicitly annotated for public DNS.
# Add annotation external-dns.alpha.kubernetes.io/public: "true" to any
# ingress/service that should get a public Cloudflare record.
annotationFilter: "external-dns.alpha.kubernetes.io/public=true"
# Log level
logLevel: info
# Interval between sync runs
interval: "1m"
# Policy: sync = create AND delete records. Use upsert-only to be conservative.
policy: sync
# Registry to track which records external-dns owns
registry: txt
txtOwnerId: fastpass

36
cluster/platform/external-dns/servicemonitor.yaml Normal file
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@@ -0,0 +1,36 @@
# ------------------------------------------------------------------------------
# External-DNS Metrics - ServiceMonitor
#
# Configures Prometheus Operator to scrape External-DNS metrics
#
# Scrape interval: 30s
# Endpoint: /metrics on port 7979
# Metrics namespace: externaldns_* (externaldns_registry_endpoints_total, etc.)
# ------------------------------------------------------------------------------
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: external-dns-metrics
namespace: external-dns
labels:
app.kubernetes.io/name: external-dns
app.kubernetes.io/component: metrics
# Label selector for kube-prometheus-stack discovery
release: monitoring
spec:
# Select the external-dns service
selector:
matchLabels:
app.kubernetes.io/name: external-dns
# Namespace selector
namespaceSelector:
matchNames:
- external-dns
# Scrape endpoint configuration
endpoints:
- port: http
interval: 30s
scrapeTimeout: 10s
path: /metrics

49
cluster/platform/harbor/servicemonitor.yaml Normal file
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@@ -0,0 +1,49 @@
# ------------------------------------------------------------------------------
# Harbor Metrics - ServiceMonitor
#
# Configures Prometheus Operator to scrape Harbor metrics
#
# Scrape interval: 30s
# Components scraped:
# - harbor-core: Core service HTTP metrics
# - harbor-registry: Registry-specific metrics
# - harbor-jobservice: Job and vulnerability scan metrics
# - harbor-exporter: Harbor metrics exporter
# Metrics namespace: harbor_* (harbor_core_*, harbor_project_*, etc.)
# ------------------------------------------------------------------------------
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: harbor-metrics
namespace: harbor
labels:
app: harbor
app.kubernetes.io/name: harbor
app.kubernetes.io/component: metrics
# Label selector for kube-prometheus-stack discovery
release: monitoring
spec:
# Select Harbor services with metrics endpoints
selector:
matchLabels:
app: harbor
# Namespace selector
namespaceSelector:
matchNames:
- harbor
# Scrape endpoint configuration
endpoints:
# Harbor Core - main API and web UI metrics
- port: http-metrics
interval: 30s
scrapeTimeout: 10s
path: /metrics
relabelings:
- sourceLabels: [__meta_kubernetes_service_label_component]
targetLabel: component
action: replace
- sourceLabels: [__meta_kubernetes_service_name]
targetLabel: service
action: replace

37
cluster/platform/ingress-nginx/servicemonitor.yaml Normal file
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@@ -0,0 +1,37 @@
# ------------------------------------------------------------------------------
# Ingress-NGINX Controller Metrics - ServiceMonitor
#
# Configures Prometheus Operator to scrape Ingress-NGINX Controller metrics
#
# Scrape interval: 30s
# Endpoint: /metrics on port 10254
# Metrics namespace: nginx_ingress_* (nginx_ingress_controller_requests, etc.)
# ------------------------------------------------------------------------------
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: ingress-nginx-metrics
namespace: ingress-nginx
labels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/component: metrics
# Label selector for kube-prometheus-stack discovery
release: monitoring
spec:
# Select the ingress-nginx-controller-metrics service
selector:
matchLabels:
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/component: controller
# Namespace selector
namespaceSelector:
matchNames:
- ingress-nginx
# Scrape endpoint configuration
endpoints:
- port: metrics
interval: 30s
scrapeTimeout: 10s
path: /metrics

15
cluster/platform/ingress-nginx/values.yaml
View File

@@ -41,3 +41,18 @@ controller:
labelSelector:
matchLabels:
app.kubernetes.io/name: ingress-nginx
# ------------------------------------------------------------------------------
# TCP port forwarding — raw TCP services (non-HTTP)
# Each entry maps an external port to a namespace/service:port target.
# The Helm chart automatically:
# 1. Creates the tcp-services ConfigMap in the ingress-nginx namespace
# 2. Passes --tcp-services-configmap=ingress-nginx/tcp-services to the controller
# 3. Adds the port to the nginx-ingress LoadBalancer Service
#
# After ArgoCD syncs, add a UniFi port forward:
# WAN:10182 → 10.1.71.80:10182 (TCP)
# Non-standard port for security (default 25565 avoided).
# ------------------------------------------------------------------------------
tcp:
10182: "minecraft/journey-into-imagination:25565"

466
cluster/platform/portworx-csi/DEPLOYMENT-CHECKLIST.md Normal file
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@@ -0,0 +1,466 @@
# Portworx CSI Deployment Checklist
Pre-deployment checklist for Portworx CSI driver on Talos Linux with Pure Storage FlashArray.
## Phase 1: FlashArray Preparation
- [ ] **Create FlashArray storage admin user**
- Username: `portworx-csi`
- Role: Storage Admin
- Password: Set in FlashArray UI
- [ ] **Generate FlashArray API token**
- User: `portworx-csi`
- Expiration: None (non-expiring)
- Token format: `XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX`
- **Save token immediately** (cannot be retrieved later)
- [ ] **Verify FlashArray management endpoint**
- Test connectivity: `ping flasharray.mk-labs.cloud`
- Test HTTPS: `curl -k https://flasharray.mk-labs.cloud`
- Record IP/hostname: _______________________
- [ ] **Configure iSCSI targets on FlashArray**
- Navigate to: **Settings → Network**
- Verify iSCSI interfaces are enabled
- Test discovery from Talos node:
```bash
talosctl -n <node> exec -- iscsiadm -m discovery -t st -p <flasharray-ip>
```
- [ ] **(Optional) Enable FlashArray File Services for NFS**
- Enable File Services: **Settings → File Services**
- Create filesystem: `fastpass-nfs`
- Create NFS policy with user mapping **disabled**
- Record NFS endpoint: _______________________
## Phase 2: 1Password Secret Configuration
- [ ] **Create 1Password item**
- Vault: `homelab`
- Item name: `pure-flasharray-fastpass`
- Category: Secure Note or API Credential
- [ ] **Add pure.json field to 1Password item**
- Field name: `pure.json`
- Field type: Text
- Content format: JSON (see below)
- [ ] **Populate pure.json content**
```json
{
"FlashArrays": [
{
"MgmtEndPoint": "flasharray.mk-labs.cloud",
"APIToken": "paste-api-token-here",
"NFSEndPoint": "flasharray-nfs.mk-labs.cloud"
}
]
}
```
- Replace `flasharray.mk-labs.cloud` with actual endpoint
- Replace `paste-api-token-here` with FlashArray API token
- Remove `NFSEndPoint` line if not using File Services
- [ ] **Validate JSON syntax**
```bash
# Copy content from 1Password and validate
echo '<paste-json>' | jq .
```
- [ ] **Verify 1Password Connect can access item**
```bash
# From a pod with op CLI or via 1Password UI
# Confirm item exists in homelab vault
```
## Phase 3: Talos Node Configuration
- [ ] **Edit talconfig.yaml**
- File: `~/git/homelab/talos/talhelper/talconfig.yaml`
- Add patches from `cluster/platform/portworx-csi/talos-config-reference.yaml`
- Sections to add:
- [ ] System extensions (iscsi-tools, util-linux-tools)
- [ ] Kernel modules (iscsi_tcp, dm_multipath, dm_round_robin)
- [ ] /etc/multipath.conf file
- [ ] /etc/udev/rules.d/99-pure-storage.rules file
- [ ] kubelet extraMounts for /var/lib/iscsi
- [ ] **Generate updated Talos configs**
```bash
cd ~/git/homelab/talos/talhelper
talhelper genconfig
```
- [ ] **Apply Talos configuration to all worker nodes**
```bash
# For each worker node:
talosctl apply-config \
--file clusterconfig/<node-name>.yaml \
--nodes <node-ip>
```
Nodes:
- [ ] Node 1: _________________ (IP: _____________)
- [ ] Node 2: _________________ (IP: _____________)
- [ ] Node 3: _________________ (IP: _____________)
- [ ] **Reboot all worker nodes**
```bash
# Reboot nodes one at a time to load kernel modules
talosctl reboot --nodes <node-ip>
# Wait for node to come back online
kubectl get nodes
```
- [ ] **Verify iSCSI initiator on each node**
```bash
talosctl -n <node-ip> get service iscsid
# Expected: iscsid service running
```
- [ ] **Verify multipath on each node**
```bash
talosctl -n <node-ip> exec -- multipath -ll
# Expected: multipath running (may show no paths yet)
```
- [ ] **Verify unique iSCSI initiator names**
```bash
# For each node:
talosctl -n <node-ip> read /etc/iscsi/initiatorname.iscsi
# Record initiator names (must be unique):
# Node 1: iqn.1994-05.com.redhat:_______________
# Node 2: iqn.1994-05.com.redhat:_______________
# Node 3: iqn.1994-05.com.redhat:_______________
```
- [ ] **Verify kernel modules loaded**
```bash
talosctl -n <node-ip> exec -- lsmod | grep -E "iscsi|dm_multipath"
# Expected: iscsi_tcp, dm_multipath, dm_round_robin
```
- [ ] **Test iSCSI discovery from each node**
```bash
talosctl -n <node-ip> exec -- \
iscsiadm -m discovery -t st -p <flasharray-ip>
# Expected: List of iSCSI targets from FlashArray
```
## Phase 4: GitOps Deployment
- [ ] **Review manifests**
- [ ] `cluster/platform/portworx-csi/application.yaml`
- [ ] `cluster/platform/portworx-csi/operator-values.yaml`
- [ ] `cluster/platform/portworx-csi/storagecluster.yaml`
- [ ] `cluster/platform/portworx-csi/externalsecret.yaml`
- [ ] `cluster/platform/portworx-csi/storageclass-block.yaml`
- [ ] `cluster/platform/portworx-csi/storageclass-file.yaml`
- [ ] **Customize for your environment**
- Update FlashArray endpoints if different from defaults
- Adjust resource limits if needed
- Review sync wave (currently: 2)
- [ ] **Commit to Git**
```bash
cd ~/git/homelab
git add cluster/platform/portworx-csi/
git commit -m "Add Portworx CSI driver for Pure FlashArray"
git push origin main
```
- [ ] **Verify ArgoCD auto-sync or trigger manual sync**
```bash
# Check ArgoCD application status
kubectl get application -n argocd portworx-csi
# Manual sync if needed
argocd app sync portworx-csi
```
## Phase 5: Deployment Verification
- [ ] **Verify ArgoCD application is healthy**
```bash
kubectl get application -n argocd portworx-csi
# Expected: STATUS=Synced, HEALTH=Healthy
```
- [ ] **Check namespace created**
```bash
kubectl get namespace portworx
```
- [ ] **Verify ExternalSecret synced**
```bash
kubectl get externalsecret -n portworx px-pure-secret
# Expected: STATUS=SecretSynced
kubectl get secret -n portworx px-pure-secret
# Expected: Secret exists with pure.json key
```
- [ ] **Validate secret content**
```bash
kubectl get secret -n portworx px-pure-secret \
-o jsonpath='{.data.pure\.json}' | base64 -d | jq .
# Expected: Valid JSON with FlashArray config
```
- [ ] **Check Portworx Operator deployed**
```bash
kubectl get deployment -n portworx portworx-operator
kubectl get pods -n portworx -l app=portworx-operator
# Expected: 1/1 pods running
```
- [ ] **Verify StorageCluster created**
```bash
kubectl get storagecluster -n portworx px-cluster-fastpass
# Expected: STATUS=Running or Initializing
```
- [ ] **Check PX-CSI pods running**
```bash
kubectl get pods -n portworx
# Expected pods:
# - portworx-operator-...
# - px-csi-controller-...
# - px-csi-node-... (one per node)
```
- [ ] **Verify CSI driver registered**
```bash
kubectl get csidrivers
# Expected: pxd.portworx.com
kubectl get csinode
# Expected: One CSINode per Kubernetes node
```
- [ ] **Check StorageClasses created**
```bash
kubectl get storageclass pure-block pure-file
# Expected: Both StorageClasses exist
```
- [ ] **Review PX-CSI logs for errors**
```bash
# Controller logs
kubectl logs -n portworx -l app=px-csi-controller --tail=50
# Node driver logs (on each node)
kubectl logs -n portworx -l app=px-csi-node --tail=50
```
## Phase 6: Functional Testing
- [ ] **Create test PVC with block storage**
```bash
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: test-pure-block
namespace: default
spec:
accessModes:
- ReadWriteOnce
storageClassName: pure-block
resources:
requests:
storage: 1Gi
EOF
```
- [ ] **Verify PVC bound**
```bash
kubectl get pvc test-pure-block
# Expected: STATUS=Bound
```
- [ ] **Verify PV created on FlashArray**
```bash
kubectl get pv
# Look for PV bound to test-pure-block
# Check FlashArray UI or API:
# Volumes should show new volume created
```
- [ ] **Create test pod using PVC**
```bash
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Pod
metadata:
name: test-pure-block-pod
namespace: default
spec:
containers:
- name: test
image: nginx:latest
volumeMounts:
- name: data
mountPath: /data
volumes:
- name: data
persistentVolumeClaim:
claimName: test-pure-block
EOF
```
- [ ] **Verify pod is running**
```bash
kubectl get pod test-pure-block-pod
# Expected: STATUS=Running
```
- [ ] **Verify volume mounted in pod**
```bash
kubectl exec test-pure-block-pod -- df -h /data
# Expected: Mount point shows 1Gi volume
```
- [ ] **Test write to volume**
```bash
kubectl exec test-pure-block-pod -- \
sh -c 'echo "test data" > /data/test.txt'
kubectl exec test-pure-block-pod -- cat /data/test.txt
# Expected: "test data"
```
- [ ] **Verify iSCSI session established**
```bash
# On node running test pod
talosctl -n <node-ip> exec -- iscsiadm -m session
# Expected: Active iSCSI session to FlashArray
```
- [ ] **Clean up test resources**
```bash
kubectl delete pod test-pure-block-pod
kubectl delete pvc test-pure-block
```
- [ ] **(Optional) Test NFS file storage**
- Repeat above steps with `storageClassName: pure-file`
- Verify NFS export created on FlashArray
## Phase 7: Monitoring Setup
- [ ] **Verify Prometheus ServiceMonitor created**
```bash
kubectl get servicemonitor -n portworx
```
- [ ] **Check Prometheus targets**
- Navigate to Prometheus UI → Targets
- Look for `portworx` or `px-csi` targets
- Status should be UP
- [ ] **Query basic metrics**
```promql
# In Prometheus UI
portworx_cluster_status
portworx_volume_capacity_bytes
```
- [ ] **(Optional) Create Grafana dashboard**
- Import Portworx dashboard from Grafana.com
- Or create custom dashboard
## Phase 8: Documentation & Handoff
- [ ] **Update homelab documentation**
- Add FlashArray details to infrastructure docs
- Document storage classes and use cases
- [ ] **Record credentials securely**
- FlashArray management URL: ___________________
- API token stored in: 1Password → homelab → pure-flasharray-fastpass
- Portworx namespace: `portworx`
- [ ] **Create runbook for common tasks**
- Volume expansion procedure
- Snapshot creation/restore
- Troubleshooting steps
- [ ] **Schedule follow-up review**
- Date: _______________
- Review metrics and performance
- Adjust resource limits if needed
## Rollback Plan
If deployment fails, rollback procedure:
1. [ ] Delete ArgoCD application:
```bash
kubectl delete application -n argocd portworx-csi
```
2. [ ] Delete namespace (if needed):
```bash
kubectl delete namespace portworx
```
3. [ ] Delete StorageClasses:
```bash
kubectl delete storageclass pure-block pure-file
```
4. [ ] Delete CRDs (if needed):
```bash
kubectl delete crd storageclusters.core.libopenstorage.org
```
5. [ ] Revert Talos configuration (if needed):
```bash
# Remove portworx-csi patches from talconfig.yaml
talhelper genconfig
talosctl apply-config --file clusterconfig/<node>.yaml --nodes <node-ip>
```
## Success Criteria
Deployment is successful when:
- [ ] All pods in `portworx` namespace are Running
- [ ] StorageClasses `pure-block` and `pure-file` are available
- [ ] Test PVC successfully binds to a PV
- [ ] Test pod can mount and write to volume
- [ ] iSCSI sessions are established on nodes
- [ ] No errors in PX-CSI controller/node logs
- [ ] Prometheus metrics are being scraped
- [ ] ArgoCD application shows Healthy and Synced
## Notes
**Deployment Date:** _______________
**Deployed By:** _______________
**FlashArray Model:** _______________
**Purity Version:** _______________
**Issues Encountered:**
-
-
-
**Resolutions:**
-
-
-
**Follow-up Items:**
-
-
-

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# Portworx CSI Implementation Summary
## Overview
Successfully created a complete GitOps deployment for Portworx CSI driver to integrate Pure Storage FlashArray with Talos Linux Kubernetes cluster (fastpass). This implementation follows the homelab's established GitOps patterns and provides enterprise-grade block and file storage capabilities.
## What Was Created
### Directory Structure
```
cluster/platform/portworx-csi/
├── application.yaml # ArgoCD Application manifest
├── operator-values.yaml # Helm values for Portworx Operator
├── storagecluster.yaml # StorageCluster CR for PX-CSI deployment
├── externalsecret.yaml # ExternalSecret for FlashArray credentials
├── storageclass-block.yaml # StorageClass for iSCSI block volumes
├── storageclass-file.yaml # StorageClass for NFS file storage
├── talos-config-reference.yaml # Talos configuration reference (not a K8s resource)
├── README.md # Complete deployment documentation
├── DEPLOYMENT-CHECKLIST.md # Step-by-step deployment checklist
├── QUICKREF.md # Quick reference for common operations
└── validate-prereqs.sh # Pre-deployment validation script
```
**Total**: 11 files, ~1,922 lines of YAML and documentation
## Implementation Details
### 1. ArgoCD Application (`application.yaml`)
- **Sync Wave**: 2 (after External Secrets Operator, before applications)
- **Multi-source**: Helm chart from Portworx + local manifests from Git
- **Auto-sync**: Enabled with prune and self-heal
- **Namespace**: `portworx`
### 2. Portworx Operator (`operator-values.yaml`)
- **Chart**: `px-operator` version 25.0.0
- **Deployment**: Single replica (sufficient for homelab)
- **Resources**: Minimal (50m CPU, 128Mi memory)
- **Tolerations**: Can run on control plane nodes
### 3. StorageCluster CR (`storagecluster.yaml`)
- **Backend**: Pure Storage FlashArray
- **Protocol**: iSCSI (can be changed to NVMe-oF)
- **CSI Driver**: Enabled with PX-CSI 3.2.0
- **Secret**: References `px-pure-secret` (from ExternalSecret)
- **Monitoring**: Prometheus metrics enabled
- **Topology**: Disabled (can be enabled later for multi-zone)
### 4. FlashArray Credentials (`externalsecret.yaml`)
- **Source**: 1Password via ClusterSecretStore
- **Vault**: `homelab`
- **Item**: `pure-flasharray-fastpass`
- **Field**: `pure.json` (JSON configuration)
- **Target Secret**: `px-pure-secret` in `portworx` namespace
- **Refresh**: Hourly
Expected 1Password `pure.json` format:
```json
{
"FlashArrays": [
{
"MgmtEndPoint": "flasharray.mk-labs.cloud",
"APIToken": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"NFSEndPoint": "flasharray-nfs.mk-labs.cloud"
}
]
}
```
### 5. StorageClasses
#### pure-block
- **Provisioner**: `pxd.portworx.com`
- **Backend**: FlashArray block volumes (iSCSI)
- **Access Mode**: ReadWriteOnce (RWO)
- **Filesystem**: ext4
- **Features**: Volume expansion, snapshots
- **Use Case**: Databases, stateful applications
#### pure-file
- **Provisioner**: `pxd.portworx.com`
- **Backend**: FlashArray File Services (NFS)
- **Access Mode**: ReadWriteMany (RWX)
- **Protocol**: NFS v4.1
- **Features**: Shared storage, volume expansion
- **Use Case**: Multi-pod applications, shared data
### 6. Talos Configuration (`talos-config-reference.yaml`)
**NOTE**: This is a reference document, NOT a Kubernetes resource. Must be applied via `talhelper` or `talosctl`.
Required Talos patches:
- **System Extensions**: `iscsi-tools`, `util-linux-tools`
- **Kernel Modules**: `iscsi_tcp`, `dm_multipath`, `dm_round_robin`
- **Multipath Config**: `/etc/multipath.conf` with Pure Storage settings
- **udev Rules**: `/etc/udev/rules.d/99-pure-storage.rules` for queue tuning
- **kubelet Mounts**: `/var/lib/iscsi` shared mount for iSCSI persistence
### 7. Documentation
#### README.md (16KB)
Comprehensive documentation including:
- Architecture diagrams
- Prerequisites (FlashArray, 1Password, Talos)
- Step-by-step deployment instructions
- Usage examples (PVCs, snapshots, expansion)
- Monitoring setup
- Troubleshooting guide
- References and architecture decisions
#### DEPLOYMENT-CHECKLIST.md (12KB)
8-phase deployment checklist:
1. FlashArray Preparation
2. 1Password Secret Configuration
3. Talos Node Configuration
4. GitOps Deployment
5. Deployment Verification
6. Functional Testing
7. Monitoring Setup
8. Documentation & Handoff
Includes rollback plan and success criteria.
#### QUICKREF.md (9KB)
Quick reference for:
- Status checks
- Volume operations (create, expand, snapshot, restore)
- Log viewing
- Troubleshooting commands
- Monitoring queries
- Maintenance procedures
- Useful aliases
#### validate-prereqs.sh (7KB)
Automated pre-deployment validation script that checks:
- Kubernetes cluster connectivity
- External Secrets Operator presence
- ClusterSecretStore configuration
- Talos nodes
- Existing CSI drivers
- StorageClass conflicts
- ArgoCD setup
- Required manifests in repository
## GitOps Workflow
### Deployment Flow
```
1. Commit to Git (homelab repo)
↓
2. ArgoCD detects changes
↓
3. Wave 2 sync (after External Secrets)
↓
4. Helm deploys Portworx Operator
↓
5. Operator deploys PX-CSI components
↓
6. StorageClasses become available
↓
7. Applications can provision volumes
```
### Dependencies
- **Wave 1**: External Secrets Operator, 1Password Connect
- **Wave 2**: Portworx CSI (this deployment)
- **Wave 3+**: Applications using Pure storage
## Prerequisites Summary
### FlashArray Requirements
1. ✅ FlashArray accessible from cluster network
2. ✅ Storage admin user created with API token
3. ✅ iSCSI targets configured (for block storage)
4. ✅ File Services enabled (optional, for NFS)
5. ✅ NFS policy configured with user mapping disabled (optional)
### Kubernetes Requirements
1. ✅ Talos Linux cluster with kernel modules (iscsi_tcp, dm_multipath)
2. ✅ External Secrets Operator installed (wave 1)
3. ✅ ClusterSecretStore configured for 1Password
4. ✅ ArgoCD installed and operational
5. ✅ Multipath and udev rules configured on all nodes
### 1Password Requirements
1. ✅ Vault: `homelab`
2. ✅ Item: `pure-flasharray-fastpass`
3. ✅ Field: `pure.json` with FlashArray configuration
## Next Steps
### 1. Before Deployment
- [ ] Create FlashArray storage admin user and API token
- [ ] Add FlashArray credentials to 1Password
- [ ] Apply Talos configuration to all worker nodes:
```bash
cd ~/git/homelab/talos/talhelper
# Add portworx-csi patches to talconfig.yaml
talhelper genconfig
talosctl apply-config --file clusterconfig/<node>.yaml --nodes <node-ip>
talosctl reboot --nodes <node-ip>
```
- [ ] Verify iSCSI and multipath on each node
- [ ] Run validation script: `./validate-prereqs.sh`
### 2. Deploy
```bash
cd ~/git/homelab
git add cluster/platform/portworx-csi/
git commit -m "Add Portworx CSI driver for Pure FlashArray"
git push origin main
# ArgoCD will auto-sync (wave 2)
# Or manually sync:
argocd app sync portworx-csi
```
### 3. Verify Deployment
```bash
# Check ArgoCD application
kubectl get application -n argocd portworx-csi
# Verify pods
kubectl get pods -n portworx
# Check StorageCluster
kubectl get storagecluster -n portworx
# Test with sample PVC (see DEPLOYMENT-CHECKLIST.md Phase 6)
```
### 4. Post-Deployment
- [ ] Configure Prometheus/Grafana dashboards for Portworx metrics
- [ ] Update homelab infrastructure documentation
- [ ] Create runbook for common operations
- [ ] Schedule follow-up review after 1 week
## Key Design Decisions
### Why Portworx CSI?
- **Direct Access**: FlashArray volumes directly attached to pods (no aggregation layer)
- **Native Integration**: Official Pure Storage support
- **Feature Rich**: Snapshots, expansion, topology-aware provisioning
- **Talos Compatible**: Works with Talos Linux after proper configuration
### Why iSCSI (vs NVMe-oF)?
- **Broad Compatibility**: Works on all Talos nodes without special NICs
- **Proven**: Mature protocol with extensive documentation
- **Upgrade Path**: Can migrate to NVMe-oF later for performance
- **Simpler Setup**: Fewer hardware dependencies
### Why Multi-Source ArgoCD Application?
- **Consistency**: Follows homelab pattern (same as cert-manager, nfs-csi)
- **Upstream Helm**: Use official Portworx chart, not custom forks
- **Local Overrides**: StorageClasses and configs in Git
- **GitOps Friendly**: All configuration is declarative
### Why Wave 2?
- **Dependencies**: Needs External Secrets (wave 1) for credentials
- **Before Apps**: Storage must be ready before applications deploy
- **Parallel Safe**: Can deploy alongside other platform services
## Validation Results
All YAML files validated successfully:
- ✅ `application.yaml` - Valid YAML
- ✅ `externalsecret.yaml` - Valid YAML
- ✅ `operator-values.yaml` - Valid YAML
- ✅ `storageclass-block.yaml` - Valid YAML
- ✅ `storageclass-file.yaml` - Valid YAML
- ✅ `storagecluster.yaml` - Valid YAML
- ✅ `talos-config-reference.yaml` - Valid YAML
## Important Notes
### Talos Configuration
⚠️ **CRITICAL**: The `talos-config-reference.yaml` file is **NOT** a Kubernetes resource. It documents the required Talos patches that must be applied via `talhelper` or `talosctl`. Do not attempt to `kubectl apply` this file.
### Secret Management
The FlashArray API token is stored in 1Password and synced to Kubernetes via External Secrets Operator. Never commit credentials to Git.
### Node Reboots Required
After applying Talos configuration with kernel modules, nodes **must be rebooted** for modules to load. Schedule appropriately.
### iSCSI Initiator Names
Each Talos node must have a **unique** iSCSI initiator name. Verify uniqueness across all nodes to avoid conflicts.
### Default StorageClass
Neither `pure-block` nor `pure-file` is set as the default StorageClass. The existing `nfs-emporium` remains the default. Applications must explicitly request Pure storage by specifying `storageClassName`.
## Support and References
### Documentation
- **Full Deployment Guide**: `cluster/platform/portworx-csi/README.md`
- **Deployment Checklist**: `cluster/platform/portworx-csi/DEPLOYMENT-CHECKLIST.md`
- **Quick Reference**: `cluster/platform/portworx-csi/QUICKREF.md`
### Official Documentation
- [Portworx CSI Documentation](https://docs.portworx.com/portworx-csi/)
- [FlashArray Preparation](https://docs.portworx.com/portworx-csi/install/prepare/flash-array)
- [Talos Storage Guide](https://www.talos.dev/latest/kubernetes-guides/configuration/storage/)
### Troubleshooting
If issues arise during deployment:
1. Check `DEPLOYMENT-CHECKLIST.md` for step-by-step verification
2. Review `QUICKREF.md` for troubleshooting commands
3. Run `validate-prereqs.sh` to check prerequisites
4. Consult Portworx CSI documentation for advanced scenarios
## Summary
A complete, production-ready GitOps deployment for Portworx CSI driver has been created. The implementation:
✅ Follows homelab GitOps patterns
✅ Integrates with existing External Secrets Operator
✅ Supports both block (iSCSI) and file (NFS) storage
✅ Includes comprehensive documentation and validation tools
✅ Provides clear deployment checklist and troubleshooting guides
✅ Ready for deployment after FlashArray and Talos prerequisites are met
**Total effort**: 11 files, ~1,922 lines, comprehensive documentation and tooling.
**Ready for**: Git commit → ArgoCD deployment → Production use

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# Portworx CSI for Pure Storage FlashArray - File Index
Quick navigation guide for Portworx CSI deployment files.
## Quick Start
1. **Start here**: Read [IMPLEMENTATION-SUMMARY.md](IMPLEMENTATION-SUMMARY.md) for complete overview
2. **Before deployment**: Review [DEPLOYMENT-CHECKLIST.md](DEPLOYMENT-CHECKLIST.md)
3. **Deploy**: Follow instructions in [README.md](README.md)
4. **Daily ops**: Use [QUICKREF.md](QUICKREF.md) for common commands
## File Descriptions
### Kubernetes Manifests (GitOps)
| File | Purpose | ArgoCD Synced |
|------|---------|---------------|
| **application.yaml** | ArgoCD Application definition for Portworx CSI | ✅ Yes |
| **operator-values.yaml** | Helm values for Portworx Operator chart | ✅ Yes (via Helm) |
| **storagecluster.yaml** | StorageCluster CR that triggers PX-CSI deployment | ✅ Yes |
| **externalsecret.yaml** | Syncs FlashArray credentials from 1Password | ✅ Yes |
| **storageclass-block.yaml** | StorageClass for FlashArray block volumes (iSCSI) | ✅ Yes |
| **storageclass-file.yaml** | StorageClass for FlashArray File Services (NFS) | ✅ Yes |
### Reference & Configuration
| File | Purpose | Type |
|------|---------|------|
| **talos-config-reference.yaml** | Talos node configuration patches (NOT a K8s resource) | ⚠️ Reference only |
**IMPORTANT**: `talos-config-reference.yaml` must be applied via `talhelper` or `talosctl`, not `kubectl`.
### Documentation
| File | Size | Purpose | When to Read |
|------|------|---------|--------------|
| **IMPLEMENTATION-SUMMARY.md** | 12KB | Complete implementation overview | First |
| **README.md** | 17KB | Full deployment guide with architecture | Before deployment |
| **DEPLOYMENT-CHECKLIST.md** | 12KB | Step-by-step deployment checklist | During deployment |
| **QUICKREF.md** | 9KB | Quick reference for common operations | After deployment |
| **INDEX.md** | 2KB | This file - navigation guide | Anytime |
### Tools
| File | Type | Purpose |
|------|------|---------|
| **validate-prereqs.sh** | Bash script | Pre-deployment validation (checks prerequisites) |
## File Dependencies
```
┌─────────────────────────────────────────────────────────────────┐
│ Git Repository (homelab) │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ application.yaml │ │
│ │ ↓ references │ │
│ │ ├→ operator-values.yaml (Helm values) │ │
│ │ └→ All other manifests in this directory │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ storagecluster.yaml │ │
│ │ ↓ references │ │
│ │ └→ px-pure-secret (created by externalsecret.yaml) │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ externalsecret.yaml │ │
│ │ ↓ syncs from │ │
│ │ └→ 1Password: homelab/pure-flasharray-fastpass │ │
│ └────────────────────────────────────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ storageclass-block.yaml │ │
│ │ storageclass-file.yaml │ │
│ │ ↓ used by │ │
│ │ └→ PVCs in application namespaces │ │
│ └────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ Talos Node Configuration (NOT in K8s) │
│ │
│ talos-config-reference.yaml → talconfig.yaml → talosctl │
└─────────────────────────────────────────────────────────────────┘
```
## Deployment Workflow
### Phase 1: Pre-deployment
1. Read [IMPLEMENTATION-SUMMARY.md](IMPLEMENTATION-SUMMARY.md)
2. Read [README.md](README.md) → Prerequisites section
3. Configure FlashArray (create user, API token)
4. Add credentials to 1Password
5. Apply Talos patches (see [talos-config-reference.yaml](talos-config-reference.yaml))
6. Run [validate-prereqs.sh](validate-prereqs.sh)
### Phase 2: Deployment
Follow [DEPLOYMENT-CHECKLIST.md](DEPLOYMENT-CHECKLIST.md) exactly.
### Phase 3: Post-deployment
Use [QUICKREF.md](QUICKREF.md) for daily operations.
## Typical Reading Order
### For First-Time Deployment
1. **IMPLEMENTATION-SUMMARY.md** - Understand what was created and why
2. **README.md** - Learn architecture and prerequisites
3. **DEPLOYMENT-CHECKLIST.md** - Follow deployment steps
4. **validate-prereqs.sh** - Run before deploying
5. **QUICKREF.md** - Bookmark for later reference
### For Troubleshooting
1. **QUICKREF.md** - Common issues and commands
2. **README.md** → Troubleshooting section
3. **DEPLOYMENT-CHECKLIST.md** → Verify each step
### For Maintenance
1. **QUICKREF.md** - Most operations are here
2. **README.md** - Deep dive if needed
## File Sizes
- **Total**: 12 files, ~96KB on disk
- **Documentation**: 5 files, ~62KB (README, checklists, guides)
- **Kubernetes Manifests**: 6 files, ~11KB (YAML)
- **Talos Reference**: 1 file, ~5.4KB
- **Tools**: 1 file, ~7KB (validation script)
## GitOps Integration
All Kubernetes manifests (`.yaml` files except `talos-config-reference.yaml`) are managed by ArgoCD:
- **Application**: `portworx-csi` in namespace `argocd`
- **Sync Wave**: 2 (after External Secrets, before applications)
- **Auto-sync**: Enabled
- **Self-heal**: Enabled
- **Prune**: Enabled
Changes to manifest files are automatically synced to the cluster.
## External Dependencies
### From Git Repository
- None - this is a platform component
### From Upstream
- **Helm Chart**: `https://raw.githubusercontent.com/portworx/px-operator/main/deploy/helm/charts`
- **Chart**: `px-operator` version 25.0.0
- **Image**: `portworx/px-csi:3.2.0`
### From Cluster
- **External Secrets Operator** (namespace: `external-secrets`)
- **ClusterSecretStore** (`onepassword`)
- **ArgoCD** (namespace: `argocd`)
### From External Systems
- **Pure Storage FlashArray** (iSCSI endpoints, management API)
- **1Password** (via External Secrets Operator)
## Version Information
- **Portworx Operator**: 25.0.0
- **PX-CSI Driver**: 3.2.0
- **Talos Linux**: Any version with iSCSI support
- **Kubernetes**: 1.32.3 (fastpass cluster)
## Support Resources
### Internal Documentation
- This directory: Complete deployment guide
- Homelab repo: `~/git/homelab`
- Talos config: `talos/talhelper/talconfig.yaml`
### External Documentation
- [Portworx CSI Docs](https://docs.portworx.com/portworx-csi/)
- [FlashArray Prep Guide](https://docs.portworx.com/portworx-csi/install/prepare/flash-array)
- [Talos Storage](https://www.talos.dev/latest/kubernetes-guides/configuration/storage/)
- [Pure Support](https://support.purestorage.com/)
## Quick Commands
```bash
# Validate prerequisites
./validate-prereqs.sh
# Check deployment status
kubectl get application -n argocd portworx-csi
kubectl get pods -n portworx
# View logs
kubectl logs -n portworx -l app=px-csi-controller --tail=50
# List volumes
kubectl get pvc --all-namespaces -o wide | grep pure
# Sync via ArgoCD
argocd app sync portworx-csi
```
## Notes
- ⚠️ `talos-config-reference.yaml` is **NOT** a Kubernetes resource
- 📝 All secrets managed via External Secrets Operator (1Password)
- 🔄 ArgoCD auto-syncs changes from Git
- 📊 Prometheus metrics enabled by default
- 🚫 No default StorageClass (apps must opt-in)
## Questions?
Refer to the appropriate documentation:
- **What/Why**: [IMPLEMENTATION-SUMMARY.md](IMPLEMENTATION-SUMMARY.md)
- **How**: [README.md](README.md)
- **Step-by-step**: [DEPLOYMENT-CHECKLIST.md](DEPLOYMENT-CHECKLIST.md)
- **Quick help**: [QUICKREF.md](QUICKREF.md)
---
**Last Updated**: June 18, 2026
**Cluster**: fastpass (Talos Linux, K8s 1.32.3)
**Status**: Ready for deployment (pending FlashArray configuration)

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# Portworx CSI Quick Reference
Common commands and operations for Portworx CSI with Pure Storage FlashArray.
## Check Status
```bash
# ArgoCD application
kubectl get application -n argocd portworx-csi
# All pods in portworx namespace
kubectl get pods -n portworx
# StorageCluster status
kubectl get storagecluster -n portworx px-cluster-fastpass
kubectl describe storagecluster -n portworx px-cluster-fastpass
# CSI driver registration
kubectl get csidrivers pxd.portworx.com
kubectl get csinode
# StorageClasses
kubectl get storageclass pure-block pure-file
```
## Volume Operations
### Create PVC (Block Storage)
```bash
kubectl apply -f - <<EOF
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: my-app-data
namespace: default
spec:
accessModes:
- ReadWriteOnce
storageClassName: pure-block
resources:
requests:
storage: 10Gi
EOF
```
### Create PVC (File Storage - NFS)
```bash
kubectl apply -f - <<EOF
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: shared-data
namespace: default
spec:
accessModes:
- ReadWriteMany
storageClassName: pure-file
resources:
requests:
storage: 50Gi
EOF
```
### Expand Volume
```bash
# Edit PVC to increase size
kubectl patch pvc my-app-data -p '{"spec":{"resources":{"requests":{"storage":"20Gi"}}}}'
# Verify expansion
kubectl get pvc my-app-data
```
### Create Snapshot
```bash
kubectl apply -f - <<EOF
apiVersion: snapshot.storage.k8s.io/v1
kind: VolumeSnapshot
metadata:
name: my-app-snapshot
namespace: default
spec:
volumeSnapshotClassName: px-csi-snapshot-class
source:
persistentVolumeClaimName: my-app-data
EOF
```
### Restore from Snapshot
```bash
kubectl apply -f - <<EOF
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: my-app-data-restored
namespace: default
spec:
accessModes:
- ReadWriteOnce
storageClassName: pure-block
dataSource:
name: my-app-snapshot
kind: VolumeSnapshot
apiGroup: snapshot.storage.k8s.io
resources:
requests:
storage: 20Gi
EOF
```
## Logs
```bash
# Portworx Operator
kubectl logs -n portworx -l app=portworx-operator --tail=100
# PX-CSI Controller
kubectl logs -n portworx -l app=px-csi-controller --tail=100
# PX-CSI Node driver (specific node)
kubectl logs -n portworx -l app=px-csi-node --tail=100
# Follow logs in real-time
kubectl logs -n portworx -l app=px-csi-controller -f
```
## Troubleshooting
### Check iSCSI on Talos Nodes
```bash
# List iSCSI sessions
talosctl -n <node-ip> exec -- iscsiadm -m session
# Discover FlashArray targets
talosctl -n <node-ip> exec -- iscsiadm -m discovery -t st -p <flasharray-ip>
# Check initiator name (must be unique)
talosctl -n <node-ip> read /etc/iscsi/initiatorname.iscsi
```
### Check Multipath
```bash
# Multipath status
talosctl -n <node-ip> exec -- multipath -ll
# Reload multipath config
talosctl -n <node-ip> exec -- systemctl reload multipathd
# Multipath devices
talosctl -n <node-ip> exec -- ls -l /dev/mapper/
```
### Verify FlashArray Connectivity
```bash
# From PX-CSI pod
kubectl exec -n portworx -it <px-pod> -- ping <flasharray-ip>
# Test API endpoint
kubectl exec -n portworx -it <px-pod> -- \
curl -k https://<flasharray-mgmt-ip>/api/2.0/arrays
```
### Check Secret
```bash
# Verify secret exists
kubectl get secret -n portworx px-pure-secret
# View secret content (pure.json)
kubectl get secret -n portworx px-pure-secret \
-o jsonpath='{.data.pure\.json}' | base64 -d | jq .
# Check ExternalSecret status
kubectl get externalsecret -n portworx px-pure-secret
kubectl describe externalsecret -n portworx px-pure-secret
```
### Volume Not Attaching
```bash
# Check PVC events
kubectl describe pvc <pvc-name>
# Check pod events
kubectl describe pod <pod-name>
# Check PV
kubectl get pv
kubectl describe pv <pv-name>
# Check volume attachment
kubectl get volumeattachment
```
### Pod Stuck in ContainerCreating
```bash
# Check events
kubectl describe pod <pod-name>
# Check PVC status
kubectl get pvc -n <namespace>
# Check node where pod is scheduled
POD_NODE=$(kubectl get pod <pod-name> -o jsonpath='{.spec.nodeName}')
echo "Pod scheduled on: $POD_NODE"
# Check iSCSI on that node
talosctl -n $POD_NODE exec -- iscsiadm -m session
```
## Monitoring
### Prometheus Queries
```promql
# Cluster status
portworx_cluster_status
# Volume capacity
portworx_volume_capacity_bytes
# Volume usage
portworx_volume_usage_bytes
# I/O metrics
rate(portworx_volume_read_bytes[5m])
rate(portworx_volume_write_bytes[5m])
```
### List All PVCs Using Pure Storage
```bash
# Block storage
kubectl get pvc --all-namespaces -o json | \
jq -r '.items[] | select(.spec.storageClassName == "pure-block") |
"\(.metadata.namespace)/\(.metadata.name) - \(.status.phase)"'
# File storage
kubectl get pvc --all-namespaces -o json | \
jq -r '.items[] | select(.spec.storageClassName == "pure-file") |
"\(.metadata.namespace)/\(.metadata.name) - \(.status.phase)"'
```
### Storage Usage by Namespace
```bash
kubectl get pvc --all-namespaces -o json | \
jq -r '.items[] | select(.spec.storageClassName | startswith("pure-")) |
"\(.metadata.namespace)\t\(.spec.resources.requests.storage)"' | \
awk '{arr[$1]+=$2} END {for (i in arr) print i, arr[i]}'
```
## Maintenance
### Update FlashArray Credentials
```bash
# Update in 1Password:
# Vault: homelab
# Item: pure-flasharray-fastpass
# Field: pure.json
# Force ExternalSecret refresh
kubectl delete secret -n portworx px-pure-secret
# Wait for ExternalSecret to recreate it (check status)
kubectl get externalsecret -n portworx px-pure-secret -w
```
### Restart PX-CSI Components
```bash
# Restart controller
kubectl rollout restart deployment -n portworx px-csi-controller
# Restart node drivers (DaemonSet)
kubectl rollout restart daemonset -n portworx px-csi-node
# Check rollout status
kubectl rollout status deployment -n portworx px-csi-controller
kubectl rollout status daemonset -n portworx px-csi-node
```
### Drain Node for Maintenance
```bash
# Cordon node
kubectl cordon <node-name>
# Drain node (evict pods)
kubectl drain <node-name> --ignore-daemonsets --delete-emptydir-data
# Perform maintenance...
# Uncordon node
kubectl uncordon <node-name>
```
## ArgoCD Operations
### Sync Application
```bash
# Sync via CLI
argocd app sync portworx-csi
# Force sync (ignore differences)
argocd app sync portworx-csi --force
# Sync specific resource
argocd app sync portworx-csi --resource storagecluster:px-cluster-fastpass
```
### View Application Details
```bash
# App status
argocd app get portworx-csi
# App history
argocd app history portworx-csi
# App diff (compare git vs cluster)
argocd app diff portworx-csi
```
### Rollback via ArgoCD
```bash
# List history
argocd app history portworx-csi
# Rollback to previous version
argocd app rollback portworx-csi <revision-number>
```
## Configuration Updates
### Edit StorageCluster
```bash
# Edit directly (will be overwritten by ArgoCD sync)
kubectl edit storagecluster -n portworx px-cluster-fastpass
# Permanent change: update git
cd ~/git/homelab
vi cluster/platform/portworx-csi/storagecluster.yaml
git commit -am "Update Portworx StorageCluster config"
git push
```
### Add Environment Variable
```yaml
# In storagecluster.yaml, add to spec.env:
env:
- name: NEW_ENV_VAR
value: "value"
```
### Change Log Level
```yaml
# In storagecluster.yaml:
env:
- name: LOG_LEVEL
value: "debug" # or: info, warn, error
```
## Talos Node Configuration
### View Current Config
```bash
# Read multipath.conf
talosctl -n <node-ip> read /etc/multipath.conf
# Read udev rules
talosctl -n <node-ip> read /etc/udev/rules.d/99-pure-storage.rules
# Check loaded modules
talosctl -n <node-ip> exec -- lsmod | grep -E "iscsi|multipath"
```
### Apply Updated Talos Config
```bash
cd ~/git/homelab/talos/talhelper
# Regenerate configs after updating talconfig.yaml
talhelper genconfig
# Apply to specific node
talosctl apply-config \
--file clusterconfig/<node-name>.yaml \
--nodes <node-ip>
# Reboot if kernel modules changed
talosctl reboot --nodes <node-ip>
```
## Emergency Procedures
### Complete Reinstall
```bash
# 1. Delete ArgoCD application
kubectl delete application -n argocd portworx-csi
# 2. Delete namespace
kubectl delete namespace portworx
# 3. Delete CRDs
kubectl delete crd storageclusters.core.libopenstorage.org
# 4. Delete StorageClasses
kubectl delete storageclass pure-block pure-file
# 5. Re-apply via ArgoCD
argocd app sync portworx-csi
```
### Recover from Failed State
```bash
# 1. Check StorageCluster status
kubectl get storagecluster -n portworx -o yaml
# 2. Delete and recreate StorageCluster
kubectl delete storagecluster -n portworx px-cluster-fastpass
# 3. Let ArgoCD recreate it
argocd app sync portworx-csi --force
# 4. Monitor deployment
kubectl get pods -n portworx -w
```
## Useful Aliases
Add to `~/.bashrc` or `~/.zshrc`:
```bash
# Portworx aliases
alias pxpods='kubectl get pods -n portworx'
alias pxlogs='kubectl logs -n portworx'
alias pxstc='kubectl get storagecluster -n portworx'
alias pxpvc='kubectl get pvc --all-namespaces -o wide | grep pure'
alias pxsc='kubectl get storageclass | grep pure'
```
## References
- Full Documentation: `cluster/platform/portworx-csi/README.md`
- Deployment Checklist: `cluster/platform/portworx-csi/DEPLOYMENT-CHECKLIST.md`
- Portworx Docs: https://docs.portworx.com/portworx-csi/
- FlashArray Docs: https://support.purestorage.com/

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