feat: Deploy Firecrawl (spaceship-earth) to fastpass cluster

- Add Firecrawl application with full stack:
  - Firecrawl API (main service)
  - Firecrawl Worker (background jobs)
  - Playwright Service (browser automation)
  - Redis (cache & job queue)
  - PostgreSQL (state management)
  - RabbitMQ (message queue)

- Configure dual DNS names:
  - Primary: spaceship-earth.local.mk-labs.cloud (EPCOT theme)
  - Secondary: firecrawl.local.mk-labs.cloud

- Add Gateway API HTTPRoutes with TLS certificates
- Update ReferenceGrant for firecrawl namespace
- Configure ArgoCD application (wave 20)
- Set USE_DB_AUTHENTICATION=false for internal deployment

This provides JARVIS with web scraping and search capabilities.

cluster/applications/firecrawl/worker-deployment.yaml

@@ -0,0 +1,44 @@
+# ------------------------------------------------------------------------------
+# Deployment: Firecrawl Worker
+# Background worker for processing crawl jobs
+# ------------------------------------------------------------------------------
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: firecrawl-worker
+  namespace: firecrawl
+  labels:
+    app: firecrawl-worker
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: firecrawl-worker
+  template:
+    metadata:
+      labels:
+        app: firecrawl-worker
+    spec:
+      terminationGracePeriodSeconds: 180
+      containers:
+        - name: worker
+          image: ghcr.io/mendableai/firecrawl:latest
+          command: ["node"]
+          args: ["--max-old-space-size=4096", "dist/src/services/queue-worker.js"]
+          envFrom:
+            - configMapRef:
+                name: firecrawl-config
+          env:
+            - name: FLY_PROCESS_GROUP
+              value: "worker"
+            - name: NUQ_POD_NAME
+              valueFrom:
+                fieldRef:
+                  fieldPath: metadata.name
+          resources:
+            requests:
+              memory: "3Gi"
+              cpu: "1000m"
+            limits:
+              memory: "4Gi"
+              cpu: "1000m"