Advanced Topics

This chapter covers advanced cdktr features and deployment patterns for production use.

Topics

Fault Tolerance

Learn how cdktr handles failures:

  • Agent crash recovery
  • Principal restart behavior
  • Workflow crash detection
  • Heartbeat monitoring

Concurrency Control

Optimize workflow execution:

  • Agent concurrency limits
  • Task parallelism
  • Resource management
  • Performance tuning

Performance Tuning

Maximize cdktr performance:

  • Optimization strategies
  • Bottleneck identification
  • Scalability patterns
  • Benchmarking

Security Considerations

Secure your cdktr deployment:

  • Network security
  • Access control
  • Firewall configuration
  • Future authentication features

Production Deployment

For production deployments, consider:

  1. High Availability: Run principal with monitoring and auto-restart
  2. Load Distribution: Deploy multiple agents across machines
  3. Network Security: Use VPN or firewall rules
  4. Monitoring: Implement external monitoring of principal and agents
  5. Backup: Regular database backups
  6. Logging: Centralized log collection

Best Practices

  • Start with conservative concurrency limits
  • Monitor resource usage continuously
  • Use distributed setup for reliability
  • Implement proper error handling in workflows
  • Test workflows thoroughly before deploying
  • Keep cdktr updated to latest version

Next Steps

Explore each advanced topic for detailed information on production deployment and optimization.