degradation-circuit-breaking

Circuit breakers stop cascading failures by tripping at customized failure thresholds, isolating downstream dependencies via bulkheads, and defining fail-open vs fail-closed behaviors. This bounded, observable degradation keeps core user journeys running when external APIs or microservices fail.

Configuring timeouts and retries requires explicit connection_timeout and read_timeout values, plus bounded, jittered retries restricted to safe, idempotent operations. This prevents retry storms and shared capacity exhaustion when downstream services slow down or error.

Use fail-open vs fail-closed decisions when defining explicit security and correctness behaviors for each dependency. Fail-open maintains availability during outages, while fail-closed prioritizes data integrity, requiring product-approved fallback behaviors and staleness limits to guide the choice.

Designing bulkhead isolation sizing involves isolating downstream dependencies to avoid exhausting shared capacity. You configure bounded thread or connection pools per dependency, ensuring that a slow or failing service does not consume resources needed by core flows.

Yes, you can use chaos engineering to verify circuit breaker fallback paths through fault injection. Chaos testing ensures that fallback behaviors, staleness limits, and circuit recovery mechanisms actually work under simulated dependency failures and timeouts.

Adding observability metrics requires emitting structured logs and metrics for circuit, fallback, and timeout events. You instrument degradation behavior so that dependency failures, trip thresholds, and recovery events are fully visible and auditable during incidents.