Tag
8 articles tagged Reliability.
RelPrim 1.0.0 is the first stable release: a frozen public API, precise typing, hardened cancellation, timeout and fallback semantics, a stable event contract and new documentation.
Safe retries in distributed systems: classify failures, apply backoff and jitter, set retry budgets, and prevent retry storms across service layers.
RelPrim 0.11.0 adds optional JSON Schema and Pydantic v2 adapters to its existing validation, retry and fallback pipeline.
A practical guide to Python circuit breakers covering async state, failure thresholds, half-open probes, retry interaction, shared scope, testing and common mistakes.
A timeout is not only a latency setting. It defines when an answer is still valid, how much work an operation may consume, and what the caller can safely conclude after waiting stops.
RelPrim 0.9.0 adds provider-aware retry delays, maximum wait enforcement and fallback integration for external operations rejected by rate limits.
RelPrim 0.8.0 adds idempotency policies, concurrent execution joining and successful result replay for external operations that must not run twice.
Retries solve only one failure mode. This article introduces a coherent execution policy for timeouts, retries, idempotency, circuit breakers, rate limits, fallbacks, observability, and recovery at external boundaries.
