mcp-adr-analysis-server

# Bootstrap Deployment Plan - Example > **📝 Note**: This is an EXAMPLE of what gets generated in YOUR project when you run `bootstrap_validation_loop`. > > **Location in your project**: `your-project/docs/adrs/bootstrap-deployment-{timestamp}.md` --- # Bootstrap Deployment Plan ## Status PROPOSED - Awaiting human approval ## Context This ADR documents the automated deployment plan generated for this project. **Detected Platforms**: kubernetes, docker **Recommended Platform**: kubernetes **Confidence**: 92.5% **Source**: Validated Pattern (kubernetes-v1) **Generated**: 2025-01-23T10:30:45.123Z ## Architecture Diagram ```mermaid graph TB A[Developer] -->|Calls bootstrap| B[Platform Detection] B -->|Detected: Kubernetes| C[Load Validated Pattern] C --> D[SystemCard Initialization] D --> E[Infrastructure Deployment] E --> F1[Phase 1: Prerequisites<br/>Check cluster access] F1 --> F2[Phase 2: Namespace<br/>Create myapp namespace] F2 --> F3[Phase 3: Deploy Resources<br/>Apply manifests] F3 --> F4[Phase 4: Validation<br/>Health checks] F4 --> G{All Checks<br/>Passed?} G -->|Yes| H[Track Resources<br/>SystemCard] G -->|No| I[Auto-fix & Retry] I --> F3 H --> J[Generate Cleanup<br/>Scripts] J --> K[Deployment Complete] style A fill:#e1f5ff style C fill:#d4edda style D fill:#cfe2ff style H fill:#cfe2ff style K fill:#d4edda subgraph "Tracked by SystemCard" H J end subgraph "Validated Pattern Workflow" F1 F2 F3 F4 end ``` ## Deployment Workflow ```mermaid sequenceDiagram participant D as Developer participant B as Bootstrap Tool participant K as Kubernetes participant S as SystemCard D->>B: bootstrap_validation_loop() B->>K: kubectl cluster-info K-->>B: ✓ Connected B->>K: kubectl create namespace myapp K-->>B: ✓ Namespace created B->>S: Track resource: namespace/myapp B->>K: kubectl apply -f deployment.yaml K-->>B: ✓ Deployment created B->>S: Track resource: deployment/myapp B->>K: kubectl apply -f service.yaml K-->>B: ✓ Service created B->>S: Track resource: service/myapp B->>K: kubectl wait --for=condition=available K-->>B: ✓ Pods running B->>S: Generate cleanup phases S-->>B: cleanup.sh created B-->>D: ✅ Bootstrap complete<br/>ADR + Scripts generated ``` ## Required Files ### deployment.yaml - **Purpose**: Kubernetes Deployment manifest for application - **Required**: Yes - **Secret**: No - **Can Auto-Generate**: Yes - **Best Practice**: Use declarative YAML with resource limits - **Validation**: `kubectl apply --dry-run=client -f deployment.yaml` ### service.yaml - **Purpose**: Kubernetes Service manifest for network exposure - **Required**: Yes - **Secret**: No - **Can Auto-Generate**: Yes - **Best Practice**: Use LoadBalancer or Ingress for production - **Validation**: `kubectl apply --dry-run=client -f service.yaml` ### .env - **Purpose**: Environment variables for application configuration - **Required**: Yes - **Secret**: Yes (🔒 Should be in .gitignore) - **Can Auto-Generate**: Yes - **Best Practice**: Use Kubernetes Secrets for production - **Validation**: `source .env && echo $DATABASE_URL` ### ingress.yaml - **Purpose**: Ingress resource for HTTP routing - **Required**: No - **Secret**: No - **Can Auto-Generate**: Yes - **Best Practice**: Use cert-manager for TLS certificates - **Validation**: `kubectl apply --dry-run=client -f ingress.yaml` ## Environment Variables - **DATABASE_URL** (Required) 🔒 - PostgreSQL connection string for application database - Default: `postgresql://localhost:5432/myapp` - **REDIS_URL** (Required) 🔒 - Redis connection string for caching and sessions - Default: `redis://localhost:6379` - **JWT_SECRET** (Required) 🔒 - Secret key for JWT token generation - **No default - must be set manually** - **NODE_ENV** (Required) - Application environment mode - Default: `production` - **LOG_LEVEL** (Optional) - Logging verbosity level - Default: `info` - **PORT** (Optional) - Application HTTP port - Default: `3000` ## Deployment Steps ### Step 1: Prerequisites Validation **Command**: `kubectl cluster-info && kubectl version --client` **Description**: Verify kubectl is installed and cluster is accessible **Expected Output**: Cluster connection details and kubectl version **Estimated Time**: 30 seconds **Troubleshooting**: - Verify KUBECONFIG environment variable is set - Check cluster credentials with `kubectl config current-context` - Ensure VPN connection if using private cluster - Verify cluster is running with cloud provider console ### Step 2: Namespace Setup **Command**: `kubectl create namespace myapp && kubectl config set-context --current --namespace=myapp` **Description**: Create dedicated namespace for application resources **Expected Output**: Namespace created confirmation **Estimated Time**: 10 seconds **Troubleshooting**: - If namespace exists, use `kubectl get namespace myapp` to verify - Check RBAC permissions with `kubectl auth can-i create namespace` - Verify cluster admin access if permission denied ### Step 3: Create Secrets **Command**: `kubectl create secret generic app-secrets --from-env-file=.env` **Description**: Create Kubernetes secrets from environment variables **Expected Output**: Secret created confirmation **Estimated Time**: 15 seconds **Troubleshooting**: - Verify .env file exists and is readable - Check secret format with `kubectl get secret app-secrets -o yaml` - Ensure .env file has proper KEY=VALUE format ### Step 4: Deploy Application **Command**: `kubectl apply -f deployment.yaml && kubectl apply -f service.yaml` **Description**: Deploy application pods and expose via service **Expected Output**: Deployment and service created **Estimated Time**: 2-3 minutes **Troubleshooting**: - Check pod status with `kubectl get pods` - View pod logs with `kubectl logs <pod-name>` - Describe pod for events: `kubectl describe pod <pod-name>` - Verify image pull access if ImagePullBackOff error - Check resource limits if pods are pending ### Step 5: Deploy Ingress (Optional) **Command**: `kubectl apply -f ingress.yaml` **Description**: Configure HTTP routing and external access **Expected Output**: Ingress created confirmation **Estimated Time**: 1-2 minutes **Troubleshooting**: - Verify ingress controller is installed - Check ingress status with `kubectl get ingress` - Wait for external IP assignment - Verify DNS records point to ingress IP ### Step 6: Validation **Command**: `kubectl wait --for=condition=available --timeout=300s deployment/myapp` **Description**: Wait for deployment to become ready and healthy **Expected Output**: Deployment available confirmation **Estimated Time**: 1-5 minutes **Troubleshooting**: - Check deployment status: `kubectl rollout status deployment/myapp` - View replica status: `kubectl get rs` - Check pod health: `kubectl get pods -w` - Review application logs for startup errors ## Validation Checks - **Cluster Connection** (critical) - Command: `kubectl cluster-info` - Expected: Successful connection with cluster details - **Namespace Exists** (critical) - Command: `kubectl get namespace myapp` - Expected: Namespace found - **Deployment Ready** (critical) - Command: `kubectl get deployment myapp -o jsonpath='{.status.availableReplicas}' | grep -E '[1-9]'` - Expected: At least 1 replica available - **Service Has Endpoints** (error) - Command: `kubectl get endpoints myapp -o jsonpath='{.subsets[*].addresses[*].ip}' | grep -q .` - Expected: Service has healthy endpoints - **Pods Running** (critical) - Command: `kubectl get pods -l app=myapp --no-headers | grep -v Running && exit 1 || exit 0` - Expected: All pods in Running state ## Risks ### Image Pull Failures (high) - **Likelihood**: Medium - **Mitigation**: Use image-pull-secret and verify registry access before deployment ### Resource Exhaustion (medium) - **Likelihood**: Low - **Mitigation**: Set resource requests/limits in deployment.yaml and monitor cluster capacity ### Database Connection Issues (medium) - **Likelihood**: Medium - **Mitigation**: Verify DATABASE_URL is correct and database is accessible from cluster ### DNS Resolution Failures (low) - **Likelihood**: Low - **Mitigation**: Check CoreDNS pods are running and service CIDR is correct ## Prerequisites - Kubernetes cluster (v1.24+) running and accessible - kubectl CLI installed and configured - Container registry access for application images - Database instance accessible from cluster network - Redis instance accessible from cluster network (optional) - Ingress controller installed (if using ingress) - LoadBalancer support or NodePort access (cloud or on-prem) ## Estimated Duration Total: 10-15 minutes (excluding image pulls) - Prerequisites: 2 minutes - Namespace setup: 1 minute - Secret creation: 1 minute - Application deployment: 5-8 minutes - Validation: 2-3 minutes ## Research Sources This deployment plan was generated using: - [Official Kubernetes Documentation](https://kubernetes.io/docs/) - [Kubernetes Best Practices](https://kubernetes.io/docs/concepts/configuration/overview/) - Validated Pattern: kubernetes-v1 (Community-maintained) - Platform detection from your project files ## Decision **Status**: ⏸️ **AWAITING HUMAN APPROVAL** Please review this deployment plan and: 1. ✅ Verify the recommended platform is appropriate (Kubernetes) 2. ✅ Check that all required files are identified 3. ✅ Review security considerations (environment variables, secrets) 4. ✅ Validate deployment steps make sense for your environment 5. ✅ Ensure prerequisites are met 6. ✅ Approve or provide feedback for modifications ### How to Approve **Option 1: Run Bootstrap (Recommended)** ```bash # Generated scripts are in your project root ./bootstrap.sh # Deploy to your cluster ./validate_bootstrap.sh # Verify deployment ``` **Option 2: Manual Deployment** If you prefer manual control, follow the deployment steps above in order. **Option 3: Modify and Re-generate** If this plan needs changes: 1. Update your validated pattern or ADRs 2. Re-run `bootstrap_validation_loop` tool 3. Review the updated plan ## Consequences ### Positive ✅ **Automated Deployment**: Single script deploys entire application stack ✅ **Validated Approach**: Using community-tested Kubernetes patterns ✅ **Resource Tracking**: SystemCard tracks all created resources for easy cleanup ✅ **Reproducible**: Same deployment every time ✅ **CI/CD Ready**: Scripts integrate with GitHub Actions or other CI/CD ✅ **Production Best Practices**: Includes health checks, resource limits, proper secrets management ### Negative ⚠️ **Initial Setup**: Requires Kubernetes cluster and kubectl configuration ⚠️ **Platform-Specific**: This plan is specific to Kubernetes ⚠️ **Secrets Management**: Manual secret creation required before deployment ⚠️ **Network Dependencies**: Requires cluster network access to databases ### Mitigation - **Setup Complexity**: Use managed Kubernetes (GKE, EKS, AKS) for easier cluster management - **Secrets**: Consider using external secret management (Vault, AWS Secrets Manager) - **Network**: Use Kubernetes NetworkPolicies for secure service communication ## Cleanup Instructions When you need to tear down this deployment: ```bash # Option 1: Use generated cleanup script (recommended) ./cleanup.sh # Option 2: Manual cleanup kubectl delete all -l app=myapp kubectl delete secret app-secrets kubectl delete namespace myapp # Option 3: CI/CD teardown and restart ./cleanup.sh && ./validate_bootstrap.sh && ./bootstrap.sh ``` **What Gets Deleted**: - All application pods (tracked by SystemCard) - Services and endpoints - Deployments and replica sets - Secrets (if specified) - Namespace (if specified) - Ingress rules (if specified) **What Persists** (by design): - Persistent volumes (manual deletion required) - LoadBalancer external IPs (cloud provider cleanup) - Database data (external to Kubernetes) ## SystemCard Resource Tracking The following resources are being tracked for cleanup: ```json { "systemId": "kubernetes-bootstrap-1737628245123", "platform": { "type": "kubernetes", "version": "1.28", "detectionConfidence": 0.925 }, "resources": [ { "id": "namespace-myapp", "type": "namespace", "platform": "kubernetes", "metadata": { "name": "myapp" } }, { "id": "deployment-myapp", "type": "deployment", "platform": "kubernetes", "metadata": { "namespace": "myapp", "name": "myapp" }, "dependencies": ["service-myapp"] }, { "id": "service-myapp", "type": "service", "platform": "kubernetes", "metadata": { "namespace": "myapp", "name": "myapp" } } ], "cleanupPhases": [ { "phase": 1, "description": "Delete application deployments and services", "commands": [ "kubectl delete deployment myapp -n myapp", "kubectl delete service myapp -n myapp" ], "estimatedDuration": "30 seconds" }, { "phase": 2, "description": "Delete namespace", "commands": ["kubectl delete namespace myapp"], "estimatedDuration": "1 minute" } ] } ``` ## Next Steps ### After Approval 1. **Run Bootstrap**: ```bash ./bootstrap.sh ``` 2. **Verify Deployment**: ```bash ./validate_bootstrap.sh ``` 3. **Access Application**: ```bash # Get service external IP kubectl get service myapp # Or use port forwarding for local access kubectl port-forward service/myapp 8080:80 ``` 4. **Monitor Application**: ```bash # View pod logs kubectl logs -f deployment/myapp # Watch pod status kubectl get pods -w ``` ### For CI/CD Integration Add to your `.github/workflows/deploy.yml`: ```yaml - name: Deploy to Kubernetes run: | # Configure kubectl echo "${{ secrets.KUBECONFIG }}" > kubeconfig export KUBECONFIG=kubeconfig # Run bootstrap ./bootstrap.sh # Validate deployment ./validate_bootstrap.sh ``` ### For Production Before deploying to production: 1. ✅ Review all security settings (secrets, RBAC, network policies) 2. ✅ Set up monitoring and logging (Prometheus, Grafana, ELK) 3. ✅ Configure backup and disaster recovery 4. ✅ Set up CI/CD automation 5. ✅ Test rollback procedures 6. ✅ Configure autoscaling (HPA, VPA) 7. ✅ Set up alerting (PagerDuty, Slack) --- **📝 This ADR was auto-generated by the Bootstrap Validation Loop system using AI-powered deployment intelligence.** **Tool**: `mcp-adr-analysis-server` v2.1.11 **Pattern**: Validated Pattern kubernetes-v1 **Generated**: 2025-01-23T10:30:45.123Z **SystemCard**: Active (tracking 3 resources) **Support**: [GitHub Issues](https://github.com/tosin2013/mcp-adr-analysis-server/issues) | [Documentation](https://github.com/tosin2013/mcp-adr-analysis-server/tree/main/docs)