Production Deployment Checklist

Ensure your QBITEL Bridge deployment is production-ready with this comprehensive checklist covering security, performance, monitoring, and operations.

Security Hardening

  • Enable PQC-TLS for all inter-service communication
  • Configure mTLS between all microservices
  • Set strong JWT_SECRET (256-bit minimum)
  • Enable API key rotation with secrets manager
  • Deploy admission webhook for pod security validation
  • Configure network policies to restrict pod-to-pod traffic
  • Enable audit logging for all API endpoints
  • Run security validation suite: ./security/validation/run-security-validation.sh

TLS Configuration

# Generate TLS certificates
./scripts/generate-webhook-certs.sh

# Apply TLS configuration
kubectl apply -f ops/deploy/kubernetes/production/tls-config.yaml

# Verify TLS is active
kubectl get secrets -n qbitel-service-mesh | grep tls

Resource Allocation

Component CPU Request Memory Request Replicas
AI Engine 1000m 2Gi 3+
xDS Server 500m 1Gi 5+
Admission Webhook 250m 512Mi 5+
Control Plane 500m 512Mi 3+

High Availability

  • Deploy 3+ replicas of all critical services
  • Configure pod anti-affinity to spread across nodes
  • Set up pod disruption budgets (PDB)
  • Configure horizontal pod autoscaling (HPA)
  • Use persistent volumes for stateful data
  • Configure database replication

Monitoring and Alerting

  • Deploy Prometheus with persistent storage
  • Configure Grafana dashboards (pre-built dashboards included)
  • Set up OpenTelemetry Collector for distributed tracing
  • Configure alerting rules for SLO violations
  • Enable Sentry for error tracking
  • Set up log aggregation with structured JSON logging

Backup and Disaster Recovery

  • Configure automated database backups
  • Set up ML model artifact backups
  • Test disaster recovery procedures
  • Document RTO and RPO targets
  • Configure cross-region replication (if applicable)
# Run automated backup
python scripts/backup_database.py --target s3://your-backup-bucket/

# Test disaster recovery
python ops/operational/dr_testing.py

Performance Validation

# Run performance benchmarks
pytest ai_engine/tests/performance/test_benchmarks.py -v --benchmark-only

# Expected results:
# - PQC encryption: < 1ms latency
# - Throughput: 100K+ msg/s
# - All benchmarks PASS

# Run load tests
python tests/load/comprehensive_load_test.py

Compliance Verification

  • Run CIS benchmark validation
  • Verify SOC 2 control compliance
  • Validate GDPR data handling procedures
  • Generate SBOM (Software Bill of Materials)
  • Run security compliance validator

Next Steps