error-handling

Structured error handling captures, classifies, and responds to runtime errors so systems remain observable, debuggable, and resilient. You need it to maintain operational visibility and graceful degradation under failure.

Implement retries with exponential backoff and jitter to handle intermittent API failures by progressively increasing wait times between requests, preventing overload while allowing transient errors to recover gracefully.

Yes, this approach supports generating JSON-formatted structured logs with correlation IDs, enabling safe aggregation and efficient debugging during incident triage across backend services and batch jobs.

Yes, you can integrate Sentry for error tracking with contextual tagging and alerts, while implementing circuit breaker state management to prevent cascading failures in batch jobs and API clients.

The best way to map internal errors to user-facing messages is by defining a clear error taxonomy with specific categories and severity levels, ensuring safe, contextual responses without exposing internal stack traces.

You should avoid using a circuit breaker pattern when external API failures are non-transient or predictable, as it is designed specifically to stop cascading failures from intermittent overloads rather than handling permanent service outages.