Sequential Questioning MCP Server

# Final Deployment Plan for Sequential Questioning MCP Server v1.0.0 ## Overview This document outlines the detailed plan for deploying Sequential Questioning MCP Server v1.0.0 to production. The deployment will be executed according to this plan, with appropriate checks and validations at each step. ## Timeline | Phase | Timeline | Description | Owner | |-------|----------|-------------|-------| | Pre-deployment | D-7 (June 13, 2023) | Final testing, readiness review | QA Team | | Infrastructure Preparation | D-5 (June 15, 2023) | Prepare production Kubernetes cluster | DevOps Team | | Database Setup | D-3 (June 17, 2023) | Provision PostgreSQL and Qdrant | Database Team | | Deployment | D-day (June 20, 2023) | Application deployment | DevOps Team | | Validation | D-day (June 20, 2023) | Post-deployment validation | QA Team | | Monitoring | D+1 (June 21, 2023) | Monitoring and alerting setup | DevOps Team | | Go Live | D+2 (June 22, 2023) | Public announcement and rollout | Product Team | ## Resource Requirements ### Infrastructure - **Kubernetes Cluster**: - 3+ nodes (each with 4 vCPUs, 16GB RAM) - High-availability control plane - Auto-scaling node groups - **Database**: - PostgreSQL 15.x (managed service) - 4 vCPUs, 16GB RAM - 100GB SSD storage - High-availability configuration - Qdrant vector database - 8 vCPUs, 32GB RAM - 200GB SSD storage - Production-grade instance - **Networking**: - Load balancer with TLS termination - Private network for database connections - Network policies for security isolation ### Access Requirements - Kubernetes cluster admin access - Database administrator access - Container registry credentials - DNS management access ## Detailed Deployment Steps ### 1. Pre-deployment Preparation (D-7) 1. Conduct final review of Kubernetes manifests: ```bash kustomize build k8s/overlays/prod | kubectl --dry-run=client -f - ``` 2. Validate CI/CD pipeline with a test deployment to staging: ```bash # Trigger a staging deployment via GitHub Actions git tag -a v1.0.0-rc1 -m "Release Candidate 1" git push origin v1.0.0-rc1 ``` 3. Review and update all secrets and configuration values: ```bash # Generate production secrets (do not commit to version control) ./scripts/generate_prod_secrets.sh > k8s/overlays/prod/secrets.yaml ``` ### 2. Infrastructure Preparation (D-5) 1. Provision Kubernetes cluster: ```bash # Using infrastructure as code (e.g., Terraform) terraform apply -var-file=prod.tfvars ``` 2. Configure RBAC for production access: ```bash kubectl apply -f k8s/rbac/ ``` 3. Install required Kubernetes operators: ```bash kubectl apply -f k8s/operators/ ``` 4. Create namespaces: ```bash kubectl apply -f k8s/base/namespace.yaml kubectl create namespace monitoring ``` ### 3. Database Setup (D-3) 1. Provision PostgreSQL database: ```bash # Using infrastructure as code or cloud provider console terraform apply -target=module.postgresql ``` 2. Provision Qdrant vector database: ```bash terraform apply -target=module.qdrant ``` 3. Set up database users and permissions: ```bash # Run database initialization scripts PGPASSWORD=admin_password psql -h <db-host> -U admin -d postgres -f scripts/init_db.sql ``` 4. Test database connections: ```bash # Validate PostgreSQL connection kubectl run pg-client --rm -it --restart=Never --image=postgres:15 -- psql -h <db-host> -U <db-user> -d sequential_questioning # Validate Qdrant connection curl -X GET http://<qdrant-host>:6333/collections ``` ### 4. Deployment Day (D-day) 1. Final review of deployment configuration: ```bash # Review and update image tags if needed cd k8s/overlays/prod kustomize edit set image ghcr.io/your-org/sequential-questioning=ghcr.io/your-org/sequential-questioning:v1.0.0 ``` 2. Apply ConfigMaps and Secrets: ```bash kubectl apply -f k8s/overlays/prod/configmap.yaml kubectl apply -f k8s/overlays/prod/secret.yaml ``` 3. Deploy application: ```bash # Using Kustomize kubectl apply -k k8s/overlays/prod # Verify deployment rollout kubectl rollout status deployment/prod-sequential-questioning -n sequential-questioning ``` 4. Deploy monitoring stack: ```bash kubectl apply -k k8s/monitoring # Verify Prometheus and Grafana deployments kubectl rollout status deployment/prometheus -n monitoring kubectl rollout status deployment/grafana -n monitoring ``` 5. Apply network policies: ```bash kubectl apply -f k8s/network-policies/ ``` ### 5. Post-deployment Validation (D-day) 1. Health check verification: ```bash # Get service endpoint SERVICE_IP=$(kubectl get svc prod-sequential-questioning -n sequential-questioning -o jsonpath='{.status.loadBalancer.ingress[0].ip}') # Check health endpoint curl -v http://$SERVICE_IP/health ``` 2. Run integration tests: ```bash # Run integration test suite against production ENDPOINT=http://$SERVICE_IP pytest -v tests/integration/ ``` 3. Load testing verification: ```bash # Run 5-minute load test k6 run -e TARGET=http://$SERVICE_IP tests/performance/load_test.js ``` 4. Verify logging and metrics: ```bash # Check Prometheus metrics curl http://$SERVICE_IP/metrics # Check logs kubectl logs -l app=sequential-questioning -n sequential-questioning ``` ### 6. Monitoring Setup (D+1) 1. Configure Grafana dashboards: ```bash # Import dashboards kubectl port-forward svc/grafana -n monitoring 3000:80 # Then import dashboards/alerts through UI or API ``` 2. Set up alerting: ```bash kubectl apply -f k8s/monitoring/alertmanager-config.yaml ``` 3. Configure log aggregation: ```bash kubectl apply -f k8s/logging/ ``` 4. Test alert notification channels: ```bash # Trigger test alert curl -X POST http://alertmanager:9093/api/v1/alerts -d '[{"labels":{"alertname":"TestAlert"}}]' ``` ### 7. Go Live (D+2) 1. Final verification of all components: ```bash kubectl get all -n sequential-questioning kubectl get all -n monitoring ``` 2. Configure DNS for public access: ```bash # Update DNS records to point to the load balancer IP # This may vary depending on DNS provider ``` 3. Announce release to stakeholders. 4. Monitor system performance and metrics during initial public usage. ## Contingency Plans ### Rollback Procedure In case of critical issues discovered after deployment: 1. Immediate rollback to previous version: ```bash kubectl rollout undo deployment/prod-sequential-questioning -n sequential-questioning ``` 2. For database issues: ```bash # Restore from latest backup ./scripts/restore_db.sh prod latest ``` 3. For complete rollback: ```bash # Apply previous version's Kubernetes manifests kubectl apply -k k8s/overlays/prod-backup ``` ### Common Issues and Mitigation 1. **Application fails to start**: - Check logs: `kubectl logs -l app=sequential-questioning -n sequential-questioning` - Verify database connection - Check environment variables in ConfigMap and Secrets 2. **High error rate**: - Scale up resources: `kubectl scale deployment/prod-sequential-questioning -n sequential-questioning --replicas=5` - Check database performance - Review logs for error patterns 3. **Database connectivity issues**: - Verify network policies - Check credentials - Review database logs ## Communication Plan | Milestone | Audience | Channel | Timing | Owner | |-----------|----------|---------|--------|-------| | Deployment Start | Dev & DevOps Team | Slack #deployment | D-day 08:00 | DevOps Lead | | Deployment Complete | Dev & DevOps Team | Slack #deployment | D-day 10:00 | DevOps Lead | | Validation Complete | Engineering & Product | Email | D-day 14:00 | QA Lead | | Go Live Announcement | All Stakeholders | Email & Slack | D+2 09:00 | Product Manager | ## Sign-off Requirements The following approvals are required before proceeding: - [ ] DevOps Team Lead: Deployment configuration approved - [ ] Development Team Lead: Application readiness approved - [ ] QA Team Lead: Test results approved - [ ] Database Administrator: Database setup approved - [ ] Security Team: Security review approved - [ ] Product Owner: Feature completeness approved ## Post-Deployment Tasks 1. Document lessons learned 2. Update operational documentation 3. Optimize alerting thresholds based on production metrics 4. Schedule post-deployment review meeting (D+7) 5. Plan for next release cycle ## References - [Architecture Documentation](./architecture.md) - [Production Deployment Guide](./production_deployment_guide.md) - [Operational Runbook](./operational_runbook.md) - [API Reference](./api_reference.md)