# Deployment Plan: New Project to K3s with CI/CD

## Project Discovery Phase

### 1. Application Architecture Questions

**Critical Questions to Answer:**

1. **What type of application is this?**
   - Frontend (React/Vue/Angular/Next.js)?
   - Backend (Django/FastAPI/Node.js/Go)?
   - Monolith or microservices?
   - Static site or full-stack?

2. **What are the runtime requirements?**
   - Programming language and version?
   - Build tools needed?
   - Runtime dependencies?
   - Environment variables required?

3. **Does it have a Dockerfile already?**
   - If yes: Does it follow best practices (multi-stage build, non-root user)?
   - If no: We'll create one following your infrastructure patterns

4. **What external services does it depend on?**
   - Database (PostgreSQL/MySQL/MongoDB)?
   - Cache (Redis/Memcached)?
   - Message queue (RabbitMQ/Kafka)?
   - Search engine (Elasticsearch)?
   - Object storage (S3/SeaweedFS)?
   - Email service?

5. **What are the data persistence requirements?**
   - Application data (database)?
   - User uploads (S3-compatible)?
   - Static files (can be served from SeaweedFS)?
   - Logs (ephemeral or need retention)?

---

## Infrastructure Assessment

### 2. Current Infrastructure Alignment

**Based on Your Existing Setup:**

✅ **Available Infrastructure:**
- Harbor registry at harbor.abrino.cloud (with SotoonTech organization)
- SeaweedFS S3 at s3.abrino.cloud (8333 endpoint)
- K3s 6-node HA cluster with NFS storage
- MetalLB for LoadBalancer services (20.0.50.0/24 pool)
- ingress-nginx for internal routing
- Traefik (external) for SSL termination and domain routing
- Headscale VPN (20.0.0.0/24) for developer access
- GitHub Actions runners connected to your cluster

**Questions to Determine Resource Allocation:**

6. **What domain/subdomain should this application use?**
   - Format: `[subdomain].abrino.cloud`
   - Need SSL certificate (Let's Encrypt via Traefik)

7. **What are the expected resource requirements?**
   - CPU: Small (0.5 core), Medium (1-2 cores), Large (4+ cores)?
   - Memory: Small (<512Mi), Medium (512Mi-2Gi), Large (2Gi+)?
   - Replicas: 1 for dev, 2+ for production HA?

8. **Storage requirements?**
   - Database size estimate?
   - User upload volume?
   - Backup frequency needed?

---

## Deployment Strategy

### 3. Container Image Strategy

**Following Vitrown-back Pattern:**

```
Decision Tree:
1. Does Dockerfile exist?
   └─ Yes → Review and optimize (multi-stage, security, caching)
   └─ No → Create new Dockerfile based on language/framework

2. Image naming convention:
   harbor.abrino.cloud/[organization]/[project-name]:[tag]
   Example: harbor.abrino.cloud/sotoontech/new-project:latest
```

**Dockerfile Checklist (will be created/reviewed):**
- [ ] Multi-stage build for smaller final image
- [ ] Non-root user for security
- [ ] Proper layer caching (COPY requirements first, then code)
- [ ] Health check endpoint defined
- [ ] Production-ready settings (no debug mode)
- [ ] Static files handling strategy

---

### 4. Kubernetes Manifests Strategy

**Required Manifests (following your infrastructure patterns):**

```
k8s/
├── namespace.yaml              # Dedicated namespace for the project
├── configmap.yaml             # Non-sensitive configuration
├── secret.yaml                # Sensitive data (DB credentials, API keys)
├── deployment.yaml            # Application pods
├── service.yaml               # ClusterIP service
├── ingress.yaml               # ingress-nginx rules
├── pvc.yaml                   # NFS storage claims (if needed)
└── [database-specific].yaml   # PostgreSQL/Redis StatefulSets if needed
```

**Questions for Manifest Configuration:**

9. **Database deployment approach?**
   - Use existing PostgreSQL in cluster (shared instance)?
   - Deploy dedicated PostgreSQL StatefulSet for this project?
   - Use external managed database?

10. **Configuration management approach?**
    - Environment variables via ConfigMap/Secret?
    - Configuration files mounted as volumes?
    - External configuration service?

11. **Scaling requirements?**
    - Fixed replica count or HorizontalPodAutoscaler?
    - Resource limits appropriate for the workload?

---

### 5. CI/CD Pipeline Strategy

**GitHub Actions Workflow Pattern (based on Vitrown-back success):**

```yaml
Pipeline Stages:
1. Trigger: Push to main/develop branch or PR merge
2. Build: Docker image with caching
3. Test: Run unit/integration tests in container
4. Push: To Harbor registry
5. Deploy: Update K3s deployment
6. Notify: NTFY notification on success/failure
```

**Questions for CI/CD Configuration:**

12. **Branch strategy?**
    - main → production deployment
    - develop → staging deployment
    - feature/* → no auto-deploy?

13. **Testing requirements?**
    - Unit tests to run?
    - Integration tests?
    - Test database needed?

14. **Deployment strategy?**
    - Rolling update (zero downtime)?
    - Blue-green deployment?
    - Canary deployment?

15. **Notification preferences?**
    - NTFY topic for this project?
    - Success and failure notifications?
    - Slack/Discord integration needed?

---

## Security & Access Control

### 6. Security Considerations

**Questions:**

16. **Authentication requirements?**
    - Public application (no auth)?
    - Internal only (Headscale VPN access)?
    - OAuth/OIDC integration?
    - API key authentication?

17. **Secrets management?**
    - What sensitive data needs to be stored?
    - Database credentials?
    - API keys for third-party services?
    - SSL/TLS certificates (handled by Traefik)?

18. **Network policies?**
    - Restrict pod-to-pod communication?
    - Database access only from app pods?
    - External API access requirements?

---

## Migration & Data Strategy

### 7. Data Migration (if applicable)

**Questions:**

19. **Is there existing data to migrate?**
    - From where (Docker Compose setup, another cluster, cloud)?
    - Database dump available?
    - User uploads/files to transfer?

20. **Migration approach?**
    - One-time migration before go-live?
    - Gradual migration with sync period?
    - Parallel run before cutover?

---

## Monitoring & Maintenance

### 8. Operational Considerations

**Questions:**

21. **Monitoring requirements?**
    - Application metrics (Prometheus)?
    - Logging aggregation needed?
    - APM (Application Performance Monitoring)?

22. **Backup strategy?**
    - Database backup frequency?
    - Retention policy (following your minimal approach)?
    - S3/SeaweedFS data backup?

23. **Update/rollback procedures?**
    - Manual approval for production deploys?
    - Automatic rollback on failure?
    - Health check requirements?

---

## Implementation Phases

### Phase 1: Project Analysis (Current Phase)
- [ ] Answer all discovery questions above
- [ ] Review existing codebase structure
- [ ] Identify dependencies and services
- [ ] Determine resource requirements

### Phase 2: Containerization
- [ ] Create/optimize Dockerfile
- [ ] Build and test image locally
- [ ] Push to Harbor registry
- [ ] Verify image works in isolated environment

### Phase 3: Kubernetes Configuration
- [ ] Create namespace and resource quotas
- [ ] Generate ConfigMaps and Secrets
- [ ] Create deployment manifests
- [ ] Configure services and ingress
- [ ] Set up persistent storage (if needed)

### Phase 4: Database Setup (if needed)
- [ ] Deploy database StatefulSet or use existing
- [ ] Initialize schema/migrations
- [ ] Configure backups
- [ ] Test connectivity from application pods

### Phase 5: CI/CD Pipeline
- [ ] Create GitHub Actions workflow
- [ ] Configure Harbor credentials in GitHub Secrets
- [ ] Set up kubectl access to K3s cluster
- [ ] Test build and deployment process
- [ ] Configure NTFY notifications

### Phase 6: Testing & Validation
- [ ] Deploy to staging environment first
- [ ] Run smoke tests
- [ ] Performance testing
- [ ] Security scanning
- [ ] Load testing (if applicable)

### Phase 7: Production Deployment
- [ ] Final configuration review
- [ ] Deploy to production namespace
- [ ] Configure Traefik ingress for domain
- [ ] SSL certificate verification
- [ ] Monitor first deployment closely

### Phase 8: Documentation
- [ ] Deployment procedure documentation
- [ ] Troubleshooting guide
- [ ] Rollback procedures
- [ ] Developer onboarding (Headscale access)
- [ ] Add to team Obsidian knowledge base

---

## Risk Assessment

**Potential Issues to Watch:**

1. **Resource Constraints:**
   - Monitor abr-1 server resources (CPU/RAM/Storage)
   - Ensure NFS performance adequate for workload
   - MetalLB IP pool availability

2. **Network Configuration:**
   - Ensure proper routing through Traefik → ingress-nginx → service
   - Headscale VPN access for developers
   - External service connectivity (if needed)

3. **Data Persistence:**
   - NFS mount reliability
   - SeaweedFS bucket configuration and permissions
   - Database backup validation

4. **CI/CD Reliability:**
   - GitHub Actions runner availability
   - Harbor registry storage capacity
   - Network connectivity during deployments

---

## Next Steps

**To proceed, I need you to:**

1. **Share Project Information:**
   - GitHub repository URL (if private, grant access)
   - Project type (frontend/backend/fullstack)
   - Programming language/framework
   - Current development setup (Docker Compose, local dev, etc.)

2. **Answer Critical Questions:**
   - Domain name preference: `?????.abrino.cloud`
   - Database requirements (new or shared PostgreSQL?)
   - Expected user load and resource needs
   - Target deployment environment (production only or staging + production?)

3. **Provide Access Information:**
   - Harbor organization (create new or use existing?)
   - GitHub repository access for setting up Actions
   - NTFY topic preference for notifications

Once I have this information, we'll proceed step-by-step through each implementation phase, following the same systematic approach that successfully deployed Vitrown-back with <5 minute deployment times.

---

## Expected Timeline

**Estimated Time Per Phase:**
- Phase 1 (Discovery): 30 minutes - 1 hour
- Phase 2 (Containerization): 1-2 hours
- Phase 3 (K8s Configuration): 2-3 hours
- Phase 4 (Database Setup): 1-2 hours (if needed)
- Phase 5 (CI/CD Pipeline): 2-3 hours
- Phase 6 (Testing): 2-4 hours
- Phase 7 (Production Deploy): 1 hour
- Phase 8 (Documentation): 1-2 hours

**Total: 1-2 days** for a complete, production-ready deployment with CI/CD.

---

## Success Criteria

**We'll know we're successful when:**
- ✅ Developer pushes code → GitHub Actions builds → Harbor stores image → K3s deploys → Application accessible
- ✅ Deployment time < 5 minutes (matching Vitrown-back performance)
- ✅ Application accessible via HTTPS at assigned domain
- ✅ Health checks passing
- ✅ NTFY notifications working
- ✅ Rollback procedure tested and documented
- ✅ Team can access via Headscale VPN for development
- ✅ Documentation added to Obsidian knowledge base

---

**Let's start with Phase 1. Please provide the project details and answer the critical questions above.**