michaelschiemer/deployment/legacy/gitea-workflows

Gitea CI/CD Workflows Documentation

Comprehensive guide for the automated deployment workflows using Gitea Actions.

Overview

This project uses Gitea Actions for automated deployments to staging and production environments. The workflows are designed for:

• Zero-downtime deployments via rolling updates
• Automatic rollback on deployment failures
• Environment-specific configurations using Docker Compose overlays
• Database protection with automated backups (production)
• Comprehensive health checks and smoke tests
• Deployment audit trail via persistent logs

Workflow Files

1. Staging Deployment (deploy-staging.yml)

Purpose: Automated deployment to staging environment for testing and validation.

Triggers:

• Push to staging branch
• Manual workflow dispatch

Target: https://staging.michaelschiemer.de

Key Features:

• Fast deployment cycle (30-second health check)
• Basic health verification
• Keeps 5 deployment backups
• No database backup (non-critical environment)

Workflow Steps:

1. Build Docker image with ENV=staging
2. Push to private registry (localhost:5000)
3. Deploy to staging server via SSH
4. Basic health checks
5. Automatic rollback on failure

---

2. Production Deployment (deploy-production.yml)

Purpose: Production deployment with enhanced safety features and verification.

Triggers:

• Push to main or production branches
• Manual workflow dispatch

Target: https://michaelschiemer.de

Key Features:

• Database backup before deployment (aborts on backup failure)
• Database migrations after container startup
• Extended health checks (60-second wait, multiple verification layers)
• Smoke tests for functional verification
• Deployment logging for audit trail
• Graceful shutdown for active request handling
• Keeps 10 deployment backups

Workflow Steps:

1. Build Docker image with ENV=production
2. Push to private registry
3. Create database backup (optional via skip_backup input)
4. Gracefully stop current containers
5. Deploy new containers
6. Run database migrations
7. Extended health verification
8. Smoke tests (main page + API)
9. Automatic rollback on failure
10. Log deployment outcome
11. Clean up build artifacts

---

Required Gitea Secrets

Configure these secrets in your Gitea repository settings (Settings → Secrets).

Staging Secrets

Secret Name	Description	Example Value
STAGING_HOST	Staging server hostname or IP	staging.example.com or 203.0.113.42
STAGING_USER	SSH username for staging server	deploy or www-data
STAGING_SSH_KEY	Private SSH key (PEM format)	-----BEGIN RSA PRIVATE KEY-----...
STAGING_SSH_PORT	SSH port (optional, defaults to 22)	22 or 2222

Production Secrets

Secret Name	Description	Example Value
PRODUCTION_HOST	Production server hostname or IP	michaelschiemer.de or 198.51.100.10
PRODUCTION_USER	SSH username for production server	deploy or www-data
PRODUCTION_SSH_KEY	Private SSH key (PEM format)	-----BEGIN RSA PRIVATE KEY-----...
PRODUCTION_SSH_PORT	SSH port (optional, defaults to 22)	22 or 2222

SSH Key Generation:

# Generate SSH key pair (on your local machine)
ssh-keygen -t rsa -b 4096 -f deployment_key -C "gitea-deployment"

# Copy public key to target server
ssh-copy-id -i deployment_key.pub deploy@server.example.com

# Add private key to Gitea secrets (entire content)
cat deployment_key

Security Best Practices:

• Use dedicated deployment user with minimal permissions
• Restrict SSH key to specific commands via authorized_keys options
• Rotate SSH keys regularly (quarterly recommended)
• Never commit SSH keys to repository

---

Manual Workflow Triggering

Via Gitea UI

1. Navigate to your repository
2. Click Actions tab
3. Select the workflow (Deploy to Staging or Deploy to Production)
4. Click Run workflow
5. Choose branch
6. Set input parameters (if applicable)
7. Click Run workflow

Via Git Push

Staging Deployment:

# Push to staging branch
git checkout staging
git merge develop
git push origin staging
# Workflow triggers automatically

Production Deployment:

# Push to main/production branch
git checkout main
git merge staging
git push origin main
# Workflow triggers automatically

Workflow Input Parameters

Production Workflow:

• force_rebuild: Force rebuild Docker image even if code hasn't changed (default: false)
• skip_backup: Skip database backup step - NOT RECOMMENDED (default: false)

Use Case for skip_backup: Emergency hotfix deployment when backup would cause unacceptable delay. Only use if:

• Recent backup exists
• Issue is critical (security vulnerability, production down)
• Backup failure is blocking deployment

---

Deployment Monitoring

Real-Time Monitoring

Via Gitea UI:

1. Navigate to Actions tab
2. Click on running workflow
3. View real-time logs for each step
4. Check for errors or warnings

Via Server Logs:

# SSH to target server
ssh deploy@server.example.com

# Staging logs
tail -f /opt/framework-staging/current/storage/logs/app.log

# Production logs
tail -f /opt/framework-production/current/storage/logs/app.log

# Deployment log (production only)
tail -f /opt/framework-production/deployment.log

Deployment Status Verification

Check Container Status:

# Staging
cd /opt/framework-staging/current
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml ps

# Production
cd /opt/framework-production/current
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml ps

Health Check Endpoints:

# Staging
curl -k https://staging.michaelschiemer.de/health

# Production
curl -k https://michaelschiemer.de/health
curl -k https://michaelschiemer.de/api/health

Expected Health Response:

{
  "status": "healthy",
  "timestamp": "2025-01-28T15:30:00Z",
  "version": "2.x",
  "services": {
    "database": "connected",
    "redis": "connected",
    "queue": "running"
  }
}

---

Rollback Procedures

Automatic Rollback

Both workflows include automatic rollback on deployment failure:

Trigger Conditions:

• Build failure
• Health check failure
• Smoke test failure (production)
• Database migration failure (production)

Rollback Process:

1. Stop failed deployment containers
2. Restore most recent backup deployment
3. Start restored containers
4. Verify rollback success
5. Log rollback event

Note: Automatic rollback restores the application, but database changes are NOT rolled back automatically. See Manual Database Rollback below.

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Manual Rollback

When to use:

• Issue discovered after successful deployment
• Need to rollback to specific version (not just previous)

Application Rollback

Staging:

ssh deploy@staging.example.com

cd /opt/framework-staging

# List available backups
ls -lt backup_*

# Stop current deployment
cd current
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml down
cd ..

# Restore specific backup
rm -rf current
cp -r backup_20250128_143000 current

# Start restored deployment
cd current
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml up -d

# Verify
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml ps
curl -k https://staging.michaelschiemer.de/health

Production:

ssh deploy@michaelschiemer.de

cd /opt/framework-production

# List available backups
ls -lt backup_*

# Stop current deployment
cd current
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml down
cd ..

# Restore specific backup
rm -rf current
cp -r backup_20250128_150000 current

# Start restored deployment
cd current
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml up -d

# Wait for services
sleep 30

# Verify
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml ps
curl -k https://michaelschiemer.de/health
curl -k https://michaelschiemer.de/api/health

Database Rollback (Production Only)

CRITICAL: Database rollback is a destructive operation. Only perform if:

• You have confirmed backup from before problematic deployment
• You understand data loss implications
• Issue cannot be fixed forward

Process:

ssh deploy@michaelschiemer.de

cd /opt/framework-production/current

# List available database backups
ls -lt storage/backups/backup_*.sql

# Verify backup integrity
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec -T production-app \
  php console.php db:verify-backup --file=storage/backups/backup_20250128_150000.sql

# Stop application to prevent new writes
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml stop production-app

# Restore database from backup
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec -T production-app \
  php console.php db:restore --file=storage/backups/backup_20250128_150000.sql --force

# Start application
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml start production-app

# Verify
curl -k https://michaelschiemer.de/health

Database Rollback Best Practices:

• Always create new backup before rollback
• Document rollback reason in deployment log
• Notify team immediately
• Review application logs for data consistency issues
• Consider rolling forward with fix instead

---

Troubleshooting

Common Issues

1. Workflow Fails: "Permission denied (publickey)"

Cause: SSH authentication failed

Solutions:

• Verify SSH key is correctly added to Gitea secrets (entire key content)
• Ensure public key is in ~/.ssh/authorized_keys on target server
• Check SSH key permissions on server (chmod 600 ~/.ssh/authorized_keys)
• Test SSH connection manually: ssh -i deployment_key deploy@server.example.com

2. Health Check Fails

Staging:

# Check container status
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml ps

# Check logs
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml logs staging-app

# Check PHP-FPM
docker-compose -f docker-compose.base.yml -f docker-compose.staging.yml exec staging-app php -v

Production:

# Extended diagnostics
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml ps
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml logs production-app
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app php -v
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app pgrep php-fpm
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-redis redis-cli ping

3. Database Backup Fails (Production)

Symptoms:

• Workflow aborts at step [0/6]
• Error: "Database backup failed - deployment aborted"

Solutions:

# Check database connection
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:status

# Check backup directory permissions
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  ls -la storage/backups/

# Fix permissions if needed
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  chown -R www-data:www-data storage/backups/

# Test backup manually
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:backup --output=storage/backups/test_backup.sql

4. Database Migration Fails (Production)

Symptoms:

• Workflow fails at step [5/6]
• Error: "Database migration failed"

Solutions:

# Check migration status
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:status

# Review migration logs
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml logs production-app | grep migration

# Run migration manually with verbose output
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:migrate --force --verbose

# If migration is stuck, rollback and retry
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:rollback 1

docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:migrate --force

5. Image Push Fails

Symptoms:

• Workflow fails at "Push image to private registry"
• Error: "connection refused" or "unauthorized"

Solutions:

# Check registry is accessible from CI runner
curl http://localhost:5000/v2/_catalog

# Verify registry authentication (if configured)
docker login localhost:5000

# Check registry container is running
docker ps | grep registry

6. Smoke Tests Fail (Production)

Symptoms:

• Health checks pass but smoke tests fail
• Error: "Main page failed" or "API health check failed"

Solutions:

# Test endpoints manually
curl -v -k https://michaelschiemer.de/
curl -v -k https://michaelschiemer.de/api/health

# Check Traefik routing
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml logs production-nginx

# Check application logs
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml logs production-app | tail -100

# Verify Traefik labels
docker inspect production-nginx | grep -A 20 Labels

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Staging vs Production Differences

Comprehensive comparison of workflow behaviors.

Feature	Staging	Production
Trigger Branches	staging	main, production
Image Tag	staging	latest
Deployment Directory	/opt/framework-staging/	/opt/framework-production/
Database Backup	❌ No	✅ Yes (with abort on failure)
Database Migrations	❌ Manual	✅ Automatic
Health Check Wait	30 seconds	60 seconds
Health Checks	Basic (container status, PHP version, HTTP via nginx)	Extended (+ PHP-FPM, Traefik, Redis)
Smoke Tests	❌ No	✅ Yes (main page + API)
Backup Retention	5 backups	10 backups
Container Shutdown	docker-compose down (immediate)	docker-compose stop (graceful)
Deployment Logging	❌ No	✅ Yes (deployment.log)
Build Artifact Cleanup	❌ No	✅ Yes
Target URL	https://staging.michaelschiemer.de	https://michaelschiemer.de
Manual Inputs	force_rebuild	force_rebuild, skip_backup

---

Best Practices

Development Workflow

Recommended Branch Flow:

develop → staging → main (production)

Process:

1. Develop features on feature branches
2. Merge to develop branch
3. When ready for testing: git merge develop → staging
4. Deploy to staging automatically
5. Test on staging environment
6. If tests pass: git merge staging → main
7. Deploy to production automatically

Pre-Deployment Checklist

Staging:

• All tests pass locally
• Code reviewed and approved
• No breaking changes without migration path
• Dependencies updated in composer.json/package.json

Production:

• Tested on staging environment
• Database migrations tested on staging
• Performance impact assessed
• Rollback plan documented
• Team notified of deployment window
• Recent database backup verified
• Monitoring alerts configured

Post-Deployment Verification

Staging:

# Basic checks
curl -k https://staging.michaelschiemer.de/health
curl -k https://staging.michaelschiemer.de/api/health

# Manual testing of new features

Production:

# Automated checks (from CI workflow)
curl -k https://michaelschiemer.de/
curl -k https://michaelschiemer.de/api/health

# Manual verification
# - Test critical user flows
# - Check analytics/monitoring dashboards
# - Review error logs
# - Verify database migrations applied

# Check deployment log
ssh deploy@michaelschiemer.de tail /opt/framework-production/deployment.log

Deployment Scheduling

Staging: Deploy anytime during business hours

Production:

• Preferred Window: Off-peak hours (e.g., 2-6 AM local time)
• Emergency Deployments: Anytime (use skip_backup if necessary)
• Major Releases: Schedule during maintenance window with advance notice

---

Emergency Procedures

Production Down - Complete Outage

Immediate Response:

# 1. Check container status
ssh deploy@michaelschiemer.de
cd /opt/framework-production/current
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml ps

# 2. If containers stopped, restart
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml up -d

# 3. If restart fails, rollback
cd /opt/framework-production
rm -rf current
cp -r $(ls -dt backup_* | head -n1) current
cd current
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml up -d

# 4. Verify recovery
curl -k https://michaelschiemer.de/health

# 5. Investigate root cause
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml logs production-app

Database Corruption

Recovery Steps:

# 1. Stop application immediately
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml stop production-app

# 2. Verify most recent backup
ls -lt /opt/framework-production/current/storage/backups/

# 3. Restore from backup (see Database Rollback section)

# 4. Verify data integrity
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml exec production-app \
  php console.php db:verify-integrity

# 5. Restart application
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml start production-app

Failed Deployment with No Rollback

If automatic rollback fails:

# 1. SSH to server
ssh deploy@michaelschiemer.de

# 2. Manual rollback (see Manual Rollback section)

# 3. If rollback unavailable, emergency restore
cd /opt/framework-production
git clone https://git.michaelschiemer.de/michael/framework.git emergency-deploy
cd emergency-deploy
git checkout <last-known-good-commit>

# 4. Build and deploy manually
docker build -f docker/php/Dockerfile -t localhost:5000/framework:emergency .
docker push localhost:5000/framework:emergency

# 5. Update docker-compose.prod.yml to use emergency tag
cd /opt/framework-production/current
# Edit docker-compose.prod.yml: image: localhost:5000/framework:emergency

# 6. Deploy
docker-compose -f docker-compose.base.yml -f docker-compose.prod.yml up -d

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Monitoring and Alerting

Recommended Monitoring

Application Metrics:

• Response time (target: <200ms p95)
• Error rate (target: <0.1%)
• Request throughput
• Queue depth

Infrastructure Metrics:

• Container health status
• CPU usage (target: <70%)
• Memory usage (target: <80%)
• Disk space (alert: <20% free)

Database Metrics:

• Query performance
• Connection pool utilization
• Replication lag (if applicable)
• Backup success rate

Alert Configuration

Critical Alerts (immediate notification):

• Production deployment failed
• Automatic rollback triggered
• Health check failure (3 consecutive)
• Database backup failure
• Container restart loop

Warning Alerts (review within 1 hour):

• Staging deployment failed
• Smoke test failure
• Slow health check response (>5s)
• Disk space <30%

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Additional Resources

• Main Documentation: deployment/NEW_ARCHITECTURE.md
• Architecture Analysis: deployment/legacy/ARCHITECTURE_ANALYSIS.md
• Docker Compose Files: Root directory (docker-compose.*.yml)
• Framework Documentation: docs/ directory
• Troubleshooting Guide: docs/guides/troubleshooting.md

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Maintenance

Regular Tasks

Weekly:

• Review deployment logs
• Check backup retention
• Verify health check reliability
• Update dependencies (staging first)

Monthly:

• Rotate SSH keys
• Review and clean old backups (>30 days)
• Test rollback procedures
• Update workflow documentation

Quarterly:

• Disaster recovery drill
• Performance baseline review
• Security audit of deployment process
• Workflow optimization review

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Last Updated: 2025-01-28 Workflow Version: 1.0 Maintained by: DevOps Team