retry

Rate limits are normal in production; what matters is how clients behave when they hit them. Instead of hammering an upstream with immediate retries, I parse Retry-After (seconds) and sleep before retrying. I still keep an upper bound so one request d

Retries are dangerous when they synchronize; that’s how you turn a minor outage into a stampede. I implement exponential backoff with jitter so clients spread out naturally. The Retry helper takes a shouldRetry predicate and always checks ctx.Done() b

Resilience4j provides resilience patterns for fault tolerance. Circuit breakers prevent cascading failures—open after threshold failures, allow retry after timeout. Rate limiters control request rates. Retry mechanisms handle transient failures. Bulkh