error-handling-patterns

A circuit breaker pattern prevents cascading failures by wrapping external API calls in a state machine that tracks failures and temporarily blocks requests when a threshold is reached. This allows the system to recover gracefully instead of overwhelming the struggling service.

The best way to handle errors across languages is to use language-appropriate patterns like exceptions in Python and TypeScript, or Result types in Rust and Go. Proper error propagation and clear error messages ensure consistent failure management across your application stack.

Graceful degradation improves resilience by allowing an application to maintain partial functionality when a component fails, rather than crashing entirely. By providing fallback responses or disabling non-essential features, the system continues serving users during partial outages.

You should use Result types for languages like Rust and Go where explicit error handling is idiomatic, while exceptions are standard in Python and TypeScript. Result types force you to handle errors at compile time, whereas exceptions offer control flow separation for unexpected failures.

Common pitfalls when building error handling for network requests and database operations include swallowing exceptions without logging, using overly broad catch blocks, and lacking retry logic. Failing to implement error aggregation can also obscure the root cause of multiple simultaneous failures.