error-handling-patterns

Retry logic with exponential backoff in Python involves re-executing failed operations after increasing wait periods. This Skill demonstrates implementing these retry mechanisms using the tenacity library to handle transient errors effectively.

A circuit breaker pattern in Python protects your system from repeated failures by stopping requests to failing services. You should use it when external dependencies or network calls frequently fail, ensuring system stability and preventing cascading crashes.

Creating a hierarchy of custom exceptions in Python involves defining base exception classes and inheriting them for specific error types. This Skill provides scripts and references to structure custom exceptions for better error handling and maintainability.

Yes, this error handling approach utilizes both the tenacity library for retry logic and structlog for logging patterns. These dependencies are required to implement the circuit breaker and observability features demonstrated in the Skill.

The best way to integrate logging into Python error handling is using structured logging to capture exception context. This Skill uses the structlog library to implement logging patterns that provide better observability during application failures.

Context managers handle resource cleanup during errors in Python by automatically executing teardown logic when exceptions occur. This Skill covers using context managers to safely manage resources and ensure proper cleanup during unexpected failures.