Error handling in distributed systems: A guide to resilience patterns

This post details essential resilience patterns for distributed systems, focusing on error handling. It explains partial failures, network unreliability, and asynchronous chaos, introducing Temporal's Durable Execution as a solution for effectively exactly-once guarantees and stateful coordination in long-running processes. The post elaborates on the saga pattern with compensating transactions, providing a code example for implementing rollbacks. It also covers critical patterns like timeouts (connection and request) with smart strategies and retries (exponential backoff with jitter), emphasizing the golden rule of retries: idempotency. The post highlights Temporal's ability to write fault-tolerant code that looks synchronous but executes asynchronously, simplifying complex distributed system development.