Python Resilience Patterns

Build fault-tolerant Python applications that gracefully handle transient failures, network issues, and service outages. Resilience patterns keep systems running when dependencies are unreliable.

When to Use This Skill

• Adding retry logic to external service calls
• Implementing timeouts for network operations
• Building fault-tolerant microservices
• Handling rate limiting and backpressure
• Creating infrastructure decorators
• Designing circuit breakers

Core Concepts

1. Transient vs Permanent Failures

Retry transient errors (network timeouts, temporary service issues). Don't retry permanent errors (invalid credentials, bad requests).