product-acceptance-criteria

Production readiness standards for code review should verify structured logging, metrics, health checks, shutdown procedures, retries, circuit breakers, and timeouts to ensure reliable deployment and service observability.

To audit an existing codebase for fault tolerance and observability, assess the implementation of logging, metrics, and fault tolerance mechanisms against industry benchmarks to determine compliance and operational reliability.

Create acceptance criteria for reliable microservice deployment by defining a checklist that enforces structured logging, metrics, health checks, graceful shutdown procedures, and fault tolerance policies like retries and circuit breakers.

Yes, you can validate AI-generated code before deployment by applying production readiness guidelines to verify that logging, metrics, health checks, timeouts, and circuit breakers are properly implemented.

The best way to implement circuit breakers and retries for production services is to enforce them as mandatory acceptance criteria during code review, ensuring fault tolerance and reliable deployment of the services.