Building a Resilient API: Handling Failures and Implementing Retries
Covers four practical patterns for making a Flask API survive when downstream services fail: retry logic with the retrying library using fixed delays, exponential backoff to avoid thundering-herd overload, the circuit breaker pattern via pybreaker that trips after repeated failures and resets after a cooldown, and graceful degradation that returns default data instead of propagating an error. Also shows how to read the Retry-After header from rate-limited third-party APIs and respect it in your retry loop.