error-handling

Structured error handling for APIs and background jobs is implemented by classifying errors into a taxonomy and routing them to appropriate paths. This applies standardized retry strategies and graceful degradation templates to maintain core functionality during failures.

Graceful degradation is a fault tolerance technique that maintains core application functionality when subsystems fail. You need it to keep apps usable during network errors, rate limits, or server errors by applying fallback strategies instead of crashing.

Retry strategies with exponential backoff are set up using ready-to-use templates that configure fallbacks for transient failures. You apply these retry patterns to API clients and workers to automatically reattempt operations after network errors or rate limits.

Yes, you can use these error handling templates with any tech stack because they provide adaptable examples and guidelines rather than framework-specific code. They apply to API clients, background workers, and UI interactions across different platforms.

The best way to classify network errors, validation errors, and rate limits is using a structured error taxonomy. This routes each error type to appropriate handling paths, allowing distinct retry, fallback, or user-facing message responses based on classification.

A standardized error handling workflow is needed because ad-hoc try-catch blocks lack systematic classification and retry strategies. The workflow codifies structured taxonomy, exponential backoff, and graceful degradation to build reliable software that handles failures predictably.