This document provides a comprehensive verification checklist to ensure SovereignCore is production-ready.
- All tests passing
- Test coverage >80%
- No critical security vulnerabilities
- Code follows best practices
- Documentation complete
Verification Commands:
# Run all tests
pytest tests/ -v
# Check coverage
pytest --cov=api_server --cov-report=term-missing tests/
# Security scan
bandit -r . -ll- OAuth2/JWT authentication implemented
- Rate limiting configured
- Security headers enabled
- CORS properly configured
- Secrets moved to environment variables
- TLS/HTTPS support ready
- Redis ACLs configured
- Input validation with Pydantic
Verification Commands:
# Check for hardcoded secrets
grep -r "password" --include="*.py" | grep -v "#" | grep -v "test"
# Verify .env exists and has secrets
test -f .env && echo "✓ .env exists" || echo "✗ .env missing"
grep -q "SECRET_KEY=your-secret" .env && echo "✗ Default secret!" || echo "✓ Secret changed"
# Test authentication
curl -X POST http://localhost:8528/api/v1/auth/token \
-d "username=testuser&password=testpass123"- SQLite database schema created
- User models defined
- Password reset functionality
- Database migrations ready
- Default users created
Verification Commands:
# Initialize database
python init_db.py
# Verify database exists
test -f sovereign_users.db && echo "✓ Database exists" || echo "✗ Database missing"
# Check tables
sqlite3 sovereign_users.db ".tables"
# Verify users
sqlite3 sovereign_users.db "SELECT username, email FROM users;"- Multi-stage Dockerfile created
- docker-compose.yml configured
- Health checks defined
- Resource limits set
- .dockerignore created
- Non-root user configured
Verification Commands:
# Build Docker image
docker build -t sovereigncore:latest .
# Test with docker-compose
docker compose up -d
# Check health
docker compose ps
curl http://localhost:8528/health
# View logs
docker compose logs -f api
# Stop services
docker compose down- GitHub Actions workflows created
- Automated testing configured
- Security scanning enabled (CodeQL, Trivy, Snyk)
- Deployment workflows ready
- Branch protection documented
Verification Commands:
# Validate workflow syntax
gh workflow list
# Check workflow files
ls -la .github/workflows/
# Test locally with act (optional)
act -l- Prometheus metrics endpoint
- Structured logging implemented
- Grafana dashboards created
- Alerting rules configured
- Health checks implemented
Verification Commands:
# Check metrics endpoint
curl http://localhost:8528/metrics
# Verify Prometheus scraping
curl http://localhost:9090/api/v1/targets
# Access Grafana
open http://localhost:3000
# Login: admin/admin
# Check dashboards
ls -la grafana/provisioning/dashboards/- Unit tests created
- Integration tests created
- Authentication tests created
- Load testing configured
- Test fixtures defined
Verification Commands:
# Run unit tests
pytest tests/test_api_server.py -v
# Run auth tests
pytest tests/test_auth.py -v
# Run consciousness tests
pytest tests/test_consciousness.py -v
# Run load tests
locust -f tests/load_test.py --host=http://localhost:8528 --headless \
--users 50 --spawn-rate 5 --run-time 1m# Generate secrets
./setup_env.sh
# Verify .env
cat .env | grep -v "#" | grep -v "^$"
# Generate TLS certificates (development)
./scripts/generate_certs.sh
# Initialize database
python init_db.py# Start with Docker Compose
docker compose up -d
# Wait for services to be ready
sleep 10
# Check all services are running
docker compose ps# API health
curl http://localhost:8528/health
# Expected output:
# {"status":"healthy","version":"1.0.0",...}
# Redis health
redis-cli -a $(grep REDIS_PASSWORD .env | cut -d'=' -f2) ping
# Expected output: PONG
# Prometheus health
curl http://localhost:9090/-/healthy
# Grafana health
curl http://localhost:3000/api/health# 1. Login
TOKEN=$(curl -s -X POST http://localhost:8528/api/v1/auth/token \
-d "username=testuser&password=testpass123" | jq -r '.access_token')
echo "Token: ${TOKEN:0:20}..."
# 2. Access protected endpoint
curl -H "Authorization: Bearer $TOKEN" \
http://localhost:8528/api/v1/consciousness/state
# 3. Get user info
curl -H "Authorization: Bearer $TOKEN" \
http://localhost:8528/api/v1/auth/me# Test rate limiting (should get 429 after limit)
for i in {1..150}; do
curl -s -o /dev/null -w "%{http_code}\n" http://localhost:8528/
done | sort | uniq -c
# Expected: Mix of 200 and 429 responses# Check Prometheus metrics
curl http://localhost:8528/metrics | grep sovereigncore
# Verify metrics are being collected
curl -s http://localhost:9090/api/v1/query?query=sovereigncore_requests_total | jq
# Check Grafana dashboards
open http://localhost:3000/dashboards# Run 1-minute load test
locust -f tests/load_test.py --host=http://localhost:8528 \
--headless --users 50 --spawn-rate 5 --run-time 1m \
--html load_test_report.html
# Review results
open load_test_report.html- All secrets rotated from defaults
- TLS/HTTPS enabled
- Firewall configured
- Rate limiting tested
- Security headers verified
- CORS configured for production domains
- Redis password set and ACLs configured
- Database backups configured
- Secrets stored in secrets manager (production)
- Load testing completed (>100 req/sec)
- Response times acceptable (p95 < 500ms)
- Resource limits configured
- Caching strategy implemented
- Database indexes optimized
- Health checks working
- Graceful shutdown implemented
- Auto-restart configured (systemd/Docker)
- Backup and restore tested
- Disaster recovery plan documented
- Metrics collection working
- Dashboards accessible
- Alerts configured
- Log aggregation working
- Error tracking enabled
- API documentation complete
- Deployment guide reviewed
- Runbooks created
- Architecture documented
- Security policies documented
# Check logs
docker compose logs
# Check ports
sudo lsof -i :8528
sudo lsof -i :6379
# Restart services
docker compose down
docker compose up -d# Verify database
sqlite3 sovereign_users.db "SELECT * FROM users;"
# Reinitialize database
rm sovereign_users.db
python init_db.py
# Test login
curl -X POST http://localhost:8528/api/v1/auth/token \
-d "username=testuser&password=testpass123"# Check Prometheus config
cat prometheus.yml
# Verify scrape targets
curl http://localhost:9090/api/v1/targets
# Restart Prometheus
docker compose restart prometheus# Check API logs
docker compose logs api | grep ERROR
# Check metrics
curl http://localhost:8528/metrics | grep error
# Review Grafana error dashboard
open http://localhost:3000/d/sovereigncore-api- Throughput: 100-500 req/sec
- Response Time (p50): <100ms
- Response Time (p95): <500ms
- Response Time (p99): <1000ms
- Error Rate: <1%
- CPU Usage: <50%
- Memory Usage: <512MB
- Throughput: 500-2000 req/sec
- Response Time (p50): <50ms
- Response Time (p95): <200ms
- Response Time (p99): <500ms
- Error Rate: <0.1%
- Uptime: >99.9%
Before deploying to production:
- All tests passing
- Security audit completed
- Load testing successful
- Monitoring verified
- Documentation reviewed
- Backup/restore tested
- Rollback plan documented
- Team trained on operations
- Incident response plan ready
- Stakeholders notified
# Monitor error rates
watch -n 5 'curl -s http://localhost:9090/api/v1/query?query=rate(sovereigncore_requests_total{status=~"5.."}[5m])'
# Monitor response times
watch -n 5 'curl -s http://localhost:9090/api/v1/query?query=histogram_quantile(0.95,rate(sovereigncore_request_duration_seconds_bucket[5m]))'
# Check logs
docker compose logs -f --tail=100- Monitor dashboards continuously
- Review error logs
- Check resource utilization
- Verify backups running
- Test alerting
- Review performance trends
- Optimize based on metrics
- Update documentation
- Gather user feedback
- Plan improvements
✅ Production Ready when:
- All tests passing with >80% coverage
- Security scan shows no critical issues
- Load test handles expected traffic
- Monitoring shows all green
- Documentation complete
- Team trained and ready
- Rollback plan tested
- Stakeholders approve
- Production Readiness Checklist
- Deployment Guide
- Testing Guide
- TLS Setup Guide
- Environment Setup Guide
- Backup & Recovery
Last Updated: January 2, 2026 Version: 1.0.0 Status: Ready for Production Deployment