Add production-ready deployment configuration for Raspberry Pi cluster with comprehensive documentation and automation scripts. Kubernetes Manifests (deploy/k8s/): - namespace.yaml - Dedicated namespace for the application - configmap.yaml - Environment configuration (MongoDB URI, ports, URLs) - secrets.yaml.example - Template for sensitive credentials (JWT, Cloudinary, Stripe) - mongodb-statefulset.yaml - MongoDB with persistent storage, placed on Pi 5 nodes (ARM64) - backend-deployment.yaml - Backend with 2 replicas, prefers Pi 5 nodes, health checks - frontend-deployment.yaml - Frontend with 2 replicas, can run on any node, nginx-based - ingress.yaml - Traefik/NGINX ingress for API, Socket.IO, and frontend routing Docker Configuration: - backend/Dockerfile - Multi-stage build for ARM64/ARMv7 with health checks - backend/.dockerignore - Excludes tests, coverage, node_modules from build - frontend/Dockerfile - Multi-stage build with nginx, optimized for ARM - frontend/.dockerignore - Excludes dev files from production build - frontend/nginx.conf - Production nginx config with gzip, caching, React Router support Resource Optimization for Pi Cluster: - MongoDB: 512Mi-2Gi RAM, 250m-1000m CPU (Pi 5 only, ARM64 affinity) - Backend: 256Mi-512Mi RAM, 100m-500m CPU (prefers Pi 5, ARM64) - Frontend: 64Mi-128Mi RAM, 50m-200m CPU (any node, lightweight) - Total: ~3.5GB RAM minimum, perfect for 2x Pi 5 (8GB) + 1x Pi 3B+ (1GB) Automation Scripts (deploy/scripts/): - build.sh - Build multi-arch images (ARM64/ARMv7) and push to registry - deploy.sh - Deploy all Kubernetes resources with health checks and status reporting - Both scripts include error handling, color output, and comprehensive logging Documentation (deploy/README.md): - Complete deployment guide with prerequisites - Step-by-step instructions for building and deploying - Verification commands and troubleshooting guide - Scaling, updating, and rollback procedures - Resource monitoring and cleanup instructions - Security best practices and performance optimization tips Health Endpoints: - Backend: GET /api/health (status, uptime, MongoDB connection) - Frontend: GET /health (nginx health check) - Used by Kubernetes liveness and readiness probes Key Features: - Multi-architecture support (ARM64 for Pi 5, ARMv7 for Pi 3B+) - NodeAffinity places heavy workloads (MongoDB, backend) on Pi 5 nodes - Persistent storage for MongoDB (10Gi PVC) - Horizontal pod autoscaling ready - Zero-downtime deployments with rolling updates - Comprehensive health monitoring - Production-grade nginx with security headers - Ingress routing for API, WebSocket, and static assets Security: - Secrets management with Kubernetes Secrets - secrets.yaml excluded from Git (.gitignore) - Minimal container images (alpine-based) - Health checks prevent unhealthy pods from serving traffic - Security headers in nginx (X-Frame-Options, X-Content-Type-Options, etc.) Usage: 1. Build images: ./deploy/scripts/build.sh 2. Configure secrets: cp deploy/k8s/secrets.yaml.example deploy/k8s/secrets.yaml 3. Deploy: ./deploy/scripts/deploy.sh 4. Monitor: kubectl get all -n adopt-a-street 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
90 lines
2.2 KiB
YAML
90 lines
2.2 KiB
YAML
apiVersion: v1
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kind: Service
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metadata:
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name: adopt-a-street-mongodb
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namespace: adopt-a-street
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labels:
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app: mongodb
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spec:
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clusterIP: None # Headless service for StatefulSet
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selector:
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app: mongodb
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ports:
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- port: 27017
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targetPort: 27017
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name: mongodb
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---
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apiVersion: apps/v1
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kind: StatefulSet
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metadata:
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name: adopt-a-street-mongodb
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namespace: adopt-a-street
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spec:
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serviceName: adopt-a-street-mongodb
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replicas: 1
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selector:
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matchLabels:
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app: mongodb
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template:
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metadata:
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labels:
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app: mongodb
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spec:
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# Place MongoDB on Pi 5 nodes (more RAM)
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affinity:
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nodeAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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nodeSelectorTerms:
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- matchExpressions:
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- key: kubernetes.io/arch
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operator: In
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values:
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- arm64 # Pi 5 architecture
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containers:
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- name: mongodb
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image: mongo:7.0
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ports:
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- containerPort: 27017
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name: mongodb
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resources:
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requests:
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memory: "512Mi"
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cpu: "250m"
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limits:
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memory: "2Gi"
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cpu: "1000m"
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volumeMounts:
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- name: mongodb-data
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mountPath: /data/db
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livenessProbe:
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exec:
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command:
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- mongosh
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- --eval
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- "db.adminCommand('ping')"
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initialDelaySeconds: 30
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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readinessProbe:
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exec:
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command:
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- mongosh
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- --eval
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- "db.adminCommand('ping')"
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initialDelaySeconds: 5
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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volumeClaimTemplates:
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- metadata:
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name: mongodb-data
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spec:
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accessModes: ["ReadWriteOnce"]
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resources:
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requests:
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storage: 10Gi
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# Uncomment and set your storage class if needed
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# storageClassName: local-path
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