Maintenance Guide¶

Overview¶

This guide covers maintenance procedures for the Golden Age Hub platform, including routine tasks, monitoring, and troubleshooting.

Routine Maintenance¶

Daily Tasks¶

System Health Checks¶

# Check service status
docker-compose ps

# Check system resources
docker stats

# Review application logs
docker-compose logs --tail=100 gateway

# Check database connectivity
docker-compose exec postgres pg_isready

Security Monitoring¶

# Review security scan results from CI/CD
# Check GitHub Actions security reports
# Monitor for new vulnerabilities
uv run safety check

Backup Verification¶

# Verify backup completion
ls -la /backups/

# Test backup integrity
# (Implement backup verification script)

Weekly Tasks¶

Dependency Updates¶

# Check for outdated dependencies
cd backend
uv show --outdated

# Update dependencies (after testing)
uv update

# Run tests after updates
uv run pytest tests/

Performance Monitoring¶

# Run performance benchmarks
./run_performance_tests.sh

# Check database performance
# (Implement database performance monitoring)

# Review CI/CD pipeline performance
# Check GitHub Actions execution times

Security Updates¶

# Update security scanning tools
pip install --upgrade safety bandit pip-audit

# Run comprehensive security scan
uv run python validate_hipaa_compliance.py --root-dir backend

# Review and address security findings

Monthly Tasks¶

System Maintenance¶

# Clean up Docker resources
docker system prune -f

# Update Docker images
docker-compose pull

# Restart services with updated images
docker-compose up -d

Database Maintenance¶

# Database backup verification
# Index optimization
# Log rotation
# Performance tuning

Compliance Review¶

# Generate compliance report
uv run python validate_hipaa_compliance.py \
  --root-dir backend \
  --output monthly-compliance-report.json

# Review audit logs
# Update security policies
# Conduct security assessment

Monitoring and Alerting¶

Key Metrics¶

Application Metrics¶

Response time (target: <200ms)
Error rate (target: <0.1%)
Throughput (requests per second)
Database query performance (target: <50ms)

Security Metrics¶

Failed authentication attempts
Unusual access patterns
Security scan results
Vulnerability count and severity

Compliance Metrics¶

HIPAA compliance score (target: >90%)
Audit trail completeness
Data access patterns
Security incident count

Monitoring Setup¶

Application Monitoring¶

# docker-compose.monitoring.yml
version: '3.8'
services:
  prometheus:
    image: prom/prometheus:latest
    ports:
      - "9090:9090"
    volumes:
      - ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml

  grafana:
    image: grafana/grafana:latest
    ports:
      - "3000:3000"
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin
    volumes:
      - grafana-storage:/var/lib/grafana

volumes:
  grafana-storage:

Log Aggregation¶

# docker-compose.logging.yml
version: '3.8'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.5.0
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
    ports:
      - "9200:9200"

  kibana:
    image: docker.elastic.co/kibana/kibana:8.5.0
    ports:
      - "5601:5601"
    environment:
      - ELASTICSEARCH_HOSTS=http://elasticsearch:9200

Alert Configuration¶

Critical Alerts¶

Service downtime (>5 minutes)
Database connection failures
Security breach detection
HIPAA compliance score <80%

Warning Alerts¶

High response times (>500ms)
Increased error rate (>1%)
Disk space >80%
Memory usage >85%

Info Alerts¶

New vulnerabilities found
Dependency updates available
Performance degradation
Backup completion

Troubleshooting¶

Common Issues¶

Database Connection Issues¶

# Symptoms: Tests fail with connection errors
# Causes: PostgreSQL not running, network issues

# Diagnosis
docker-compose ps postgres
docker-compose logs postgres

# Solutions
docker-compose restart postgres
# Wait for readiness
until pg_isready -h localhost -p 5432; do sleep 2; done

Test Failures¶

# Symptoms: Tests fail unexpectedly
# Causes: Dependency issues, database state, test isolation

# Diagnosis
uv run pytest tests/ -v --tb=short

# Solutions
# Clean test databases
psql -h localhost -U postgres -c "
SELECT 'DROP DATABASE ' || datname || ';'
FROM pg_database
WHERE datname LIKE 'test_goldenage_%';
"

# Update dependencies
uv sync --no-dev --no-interaction

Performance Issues¶

# Symptoms: Slow response times
# Causes: Database performance, resource constraints

# Diagnosis
./run_performance_tests.sh
docker stats

# Solutions
# Optimize database queries
# Increase resources
# Scale horizontally

Security Issues¶

# Symptoms: Security scan findings
# Causes: Vulnerabilities, misconfigurations

# Diagnosis
uv run python validate_hipaa_compliance.py --root-dir backend
uv run safety check
uv run bandit -r backend/

# Solutions
# Update dependencies
# Fix security issues
# Review code changes

Emergency Procedures¶

Service Outage¶

Assessment: Determine scope and impact
Communication: Notify stakeholders
Recovery: Restore services from backup
Investigation: Identify root cause
Prevention: Implement improvements

Security Incident¶

Containment: Isolate affected systems
Investigation: Analyze security logs
Notification: Report to authorities
Recovery: Restore secure operations
Review: Update security procedures

Data Corruption¶

Assessment: Determine affected data
Recovery: Restore from clean backup
Validation: Verify data integrity
Investigation: Identify corruption cause
Prevention: Implement safeguards

Backup and Recovery¶

Backup Strategy¶

Database Backups¶

# Daily automated backup
#!/bin/bash
BACKUP_DIR="/backups/postgres"
DATE=$(date +%Y%m%d_%H%M%S)

docker-compose exec -T postgres pg_dump -U postgres goldenage > \
  "$BACKUP_DIR/goldenage_backup_$DATE.sql"

# Retain 30 days
find $BACKUP_DIR -name "*.sql" -mtime +30 -delete

Application Backups¶

# Backup application configuration
tar -czf /backups/app_config_$(date +%Y%m%d).tar.gz \
  docker-compose.yml \
  .env \
  backend/

Backup Verification¶

# Test backup integrity
#!/bin/bash
BACKUP_FILE=$1
TEST_DB="test_restore_$(date +%s)"

# Create test database
docker-compose exec postgres createdb -U postgres $TEST_DB

# Restore backup
docker-compose exec -T postgres psql -U postgres $TEST_DB < $BACKUP_FILE

# Verify data
RECORD_COUNT=$(docker-compose exec -T postgres psql -U postgres $TEST_DB \
  -tAc "SELECT COUNT(*) FROM events")

if [ "$RECORD_COUNT" -gt 0 ]; then
  echo "Backup verification successful"
else
  echo "Backup verification failed"
fi

# Clean up
docker-compose exec postgres dropdb -U postgres $TEST_DB

Recovery Procedures¶

Database Recovery¶

# Stop application
docker-compose stop gateway

# Restore database
docker-compose exec postgres dropdb -U postgres goldenage
docker-compose exec postgres createdb -U postgres goldenage
docker-compose exec -T postgres psql -U postgres goldenage < backup.sql

# Restart application
docker-compose start gateway

Full System Recovery¶

# Restore from backup
tar -xzf app_config_YYYYMMDD.tar.gz

# Start services
docker-compose up -d

# Verify systems
curl http://localhost:8000/healthz

Performance Optimization¶

Database Optimization¶

Query Optimization¶

-- Identify slow queries
SELECT query, mean_time, calls
FROM pg_stat_statements
ORDER BY mean_time DESC
LIMIT 10;

-- Create indexes for performance
CREATE INDEX CONCURRENTLY idx_events_timestamp
ON events (timestamp);

-- Analyze table statistics
ANALYZE events;

Connection Pooling¶

# Optimize database connections in production
DATABASE_CONFIG = {
    "pool_size": 20,
    "max_overflow": 30,
    "pool_timeout": 30,
    "pool_recycle": 3600,
    "pool_pre_ping": True
}

Application Optimization¶

Caching Strategy¶

# Implement Redis caching
import redis
from functools import wraps

redis_client = redis.Redis(host='redis', port=6379, db=0)

def cache_result(expiration=300):
    def decorator(func):
        @wraps(func)
        async def wrapper(*args, **kwargs):
            cache_key = f"{func.__name__}:{hash(str(args) + str(kwargs))}"

            # Try cache first
            cached = redis_client.get(cache_key)
            if cached:
                return json.loads(cached)

            # Execute and cache result
            result = await func(*args, **kwargs)
            redis_client.setex(cache_key, expiration, json.dumps(result))
            return result
        return wrapper
    return decorator

Resource Optimization¶

# Production docker-compose.yml
version: '3.8'
services:
  gateway:
    deploy:
      resources:
        limits:
          cpus: '1.0'
          memory: 1G
        reservations:
          cpus: '0.5'
          memory: 512M
    restart: unless-stopped

Security Maintenance¶

Regular Security Tasks¶

Vulnerability Management¶

# Weekly vulnerability scan
uv run safety check --json > safety-report.json

# Review and address findings
uv run python analyze_vulnerabilities.py safety-report.json

Access Review¶

# Monthly user access review
# Review active user accounts
# Remove inactive accounts
# Update permissions as needed

Security Updates¶

# Update security tools
pip install --upgrade safety bandit pip-audit

# Update system packages
apt update && apt upgrade -y

# Update Docker images
docker-compose pull
docker-compose up -d

Compliance Maintenance¶

HIPAA Compliance¶

# Monthly compliance validation
uv run python validate_hipaa_compliance.py \
  --root-dir backend \
  --output monthly-compliance.json

# Review compliance score
# Address any compliance issues
# Update security policies

Audit Trail Maintenance¶

# Archive old audit logs
# Ensure audit log integrity
# Review access patterns
# Generate compliance reports

Documentation Maintenance¶

Documentation Updates¶

Update Schedule¶

API Documentation: With each release
Security Guide: Quarterly or after security changes
Development Guide: Monthly or with major changes
Maintenance Guide: Quarterly or with procedure changes

Documentation Review¶

# Check for broken links
# Validate code examples
# Update version numbers
# Review security procedures

Schedule and Calendar¶

Maintenance Calendar¶

Frequency	Task	Owner	Due Date
Daily	System health checks	Ops Team	Ongoing
Daily	Security monitoring	Security Team	Ongoing
Weekly	Dependency updates	Dev Team	Friday
Weekly	Performance monitoring	Ops Team	Friday
Monthly	System maintenance	Ops Team	1^st of month
Monthly	Compliance review	Security Team	1^st of month
Quarterly	Security assessment	Security Team	Q1, Q2, Q3, Q4
Annually	HIPAA training	All Staff	January
Annually	Security audit	External Auditor	Q3

Maintenance Windows¶

Planned Maintenance¶

Frequency: Monthly
Duration: 2-4 hours
Time: Sunday 2:00 AM - 6:00 AM EST
Notification: 1 week in advance

Emergency Maintenance¶

Notification: As soon as possible
Duration: As needed
Approval: Security Officer + System Admin

Contact Information¶

Maintenance Team¶

System Administrator: admin@goldenagehub.com
Security Officer: security@goldenagehub.com
Development Team: dev@goldenagehub.com

Emergency Contacts¶

Critical Incident: incident@goldenagehub.com
Security Incident: security-incident@goldenagehub.com
Service Outage: outage@goldenagehub.com

Last Updated: 2024-11-23 Version: 1.0 Maintainers: Golden Age Hub Operations Team