5.2 KiB
5.2 KiB
Deployment Testing Strategy
This document outlines the strategy for testing deployments to ensure successful and reliable deployments to production and staging environments.
Current Deployment Process
Deployment Scripts
- Primary Script:
deploy/ssh/deploy-remote.sh - Python Version:
deploy/ssh/deploy-remote.py - Target Server: 95.111.206.155 (root user)
- Configuration: Git-ignored deployment configuration
Current Capabilities
- SSH-based deployment
- Environment-specific configurations (production, staging)
- Dry-run mode for testing
- Key management system
- Configuration validation
Deployment Testing Strategy
1. Pre-Deployment Testing
Local Validation
# Run all tests before deployment
./scripts/run-reliable-e2e-tests.py
pytest tests/unit/
pytest tests/integration/
Configuration Validation
# Validate deployment configuration
deploy/ssh/deploy-remote.sh -e production --dry-run --verbose
2. Staging Environment Testing
Recommended Enhancement
Create a staging environment for pre-production testing:
- Staging Server: Separate server for testing deployments
- Smoke Tests: Automated tests that verify deployment success
- Integration Tests: Test with staging SCADA/optimizer services
- Rollback Testing: Verify rollback procedures work
3. Post-Deployment Testing
Current Manual Process
After deployment, manually verify:
- Services are running
- Health endpoints respond
- Basic functionality works
Recommended Automated Process
Create automated smoke tests:
# Post-deployment smoke tests
./scripts/deployment-smoke-tests.sh
Proposed Deployment Test Structure
Directory Structure
tests/
├── deployment/ # Deployment-specific tests
│ ├── smoke_tests.py # Post-deployment smoke tests
│ ├── staging_tests.py # Staging environment tests
│ └── rollback_tests.py # Rollback procedure tests
└── e2e/ # Existing e2e tests (mock-dependent)
Deployment Test Categories
1. Smoke Tests (tests/deployment/smoke_tests.py)
- Purpose: Verify basic functionality after deployment
- Execution: Run on deployed environment
- Tests:
- Service health checks
- API endpoint availability
- Database connectivity
- Basic workflow validation
2. Staging Tests (tests/deployment/staging_tests.py)
- Purpose: Full test suite on staging environment
- Execution: Run on staging server
- Tests:
- Complete e2e workflows
- Integration with staging services
- Performance validation
- Security compliance
3. Rollback Tests (tests/deployment/rollback_tests.py)
- Purpose: Verify rollback procedures work
- Execution: Test rollback scenarios
- Tests:
- Database rollback
- Configuration rollback
- Service restart procedures
Implementation Plan
Phase 1: Smoke Tests
- Create
tests/deployment/smoke_tests.py - Add basic health and connectivity tests
- Integrate with deployment script
- Run automatically after deployment
Phase 2: Staging Environment
- Set up staging server
- Configure staging services
- Create staging-specific tests
- Run full test suite on staging
Phase 3: Automated Deployment Pipeline
- Integrate deployment tests with CI/CD
- Add automated rollback triggers
- Implement deployment metrics
- Create deployment dashboards
Current Deployment Script Usage
Dry Run (Safe Testing)
# Test deployment without actually deploying
deploy/ssh/deploy-remote.sh -e production --dry-run --verbose
Actual Deployment
# Deploy to production
deploy/ssh/deploy-remote.sh -e production
With Custom Configuration
# Use custom configuration
deploy/ssh/deploy-remote.sh -e production -c deploy/config/custom.yaml
Integration with Existing Tests
Mock Services vs Real Deployment
- Mock Services: Use for development and local testing
- Staging Services: Use for pre-production testing
- Production Services: Use for post-deployment verification
Test Execution Flow
Local Development → Mock Services → Unit/Integration Tests
↓
Staging Deployment → Staging Services → Deployment Tests
↓
Production Deployment → Production Services → Smoke Tests
Security Considerations
Deployment Security
- SSH key management
- Configuration encryption
- Access control
- Audit logging
Test Data Security
- Use test data in staging
- Never use production data in tests
- Secure test credentials
- Clean up test data
Monitoring and Metrics
Deployment Metrics
- Deployment success rate
- Rollback frequency
- Test coverage percentage
- Performance impact
Health Monitoring
- Service uptime
- Response times
- Error rates
- Resource utilization
Next Steps
Immediate Actions
- Create basic smoke tests in
tests/deployment/ - Update deployment script to run smoke tests
- Document deployment verification procedures
Medium Term
- Set up staging environment
- Create comprehensive deployment test suite
- Integrate with CI/CD pipeline
Long Term
- Implement automated rollback
- Create deployment dashboards
- Add performance benchmarking
- Implement canary deployments