error-handling-patterns

Fail-fast error handling prevents silent failures by enforcing immediate error detection at system boundaries. You implement it by placing inline assertions at entry points to validate inputs and configuration, ensuring errors are visible during development before cascading.

Input validation at API boundaries uses assertion-based checks to enforce data integrity immediately upon receipt. By applying inline assertions at entry points, invalid data is caught and rejected before processing begins, ensuring system reliability.

Truss supports safe exception handling in both synchronous and asynchronous code. It provides patterns to classify retryable versus non-retryable errors, allowing you to manage exceptions predictably across concurrent operations.

Structured logging for error handling is best implemented using Telemere to capture clear, contextual error reports. This approach logs exceptions with full context before rethrowing them, preventing lost debugging information during failures.

Fail-fast validation should be used during development and at system boundaries to expose problems immediately. Silent fallbacks mask underlying issues; prioritizing immediate error detection improves system reliability by preventing undefined states.

Classifying retryable vs non-retryable errors involves evaluating exception types within your handling patterns. You categorize transient issues as retryable and permanent failures as non-retryable, allowing your system to recover safely or halt appropriately.