How to handle fault tolerance in microservices

This post contributes to the Durable Execution feature thread by providing a comparative analysis of fault tolerance strategies in microservices. It contrasts RPC (highlighting its limitations in partial failures and client burden), persistent queues (discussing ordering issues and dead-letter queues), and workflows. It positions Temporal's workflow-as-code approach as a superior solution for built-in resilience, long-running processes, and enhanced visibility, directly addressing the challenges of managing failures in distributed systems.