CalejoControl/DEPLOYMENT_TESTING.md

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

Create a staging environment for pre-production testing:

  1. Staging Server: Separate server for testing deployments
  2. Smoke Tests: Automated tests that verify deployment success
  3. Integration Tests: Test with staging SCADA/optimizer services
  4. 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

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

  1. Create tests/deployment/smoke_tests.py
  2. Add basic health and connectivity tests
  3. Integrate with deployment script
  4. Run automatically after deployment

Phase 2: Staging Environment

  1. Set up staging server
  2. Configure staging services
  3. Create staging-specific tests
  4. Run full test suite on staging

Phase 3: Automated Deployment Pipeline

  1. Integrate deployment tests with CI/CD
  2. Add automated rollback triggers
  3. Implement deployment metrics
  4. 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

  1. Create basic smoke tests in tests/deployment/
  2. Update deployment script to run smoke tests
  3. Document deployment verification procedures

Medium Term

  1. Set up staging environment
  2. Create comprehensive deployment test suite
  3. Integrate with CI/CD pipeline

Long Term

  1. Implement automated rollback
  2. Create deployment dashboards
  3. Add performance benchmarking
  4. Implement canary deployments