Python Resilience Patterns

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The Python Resilience skill provides Claude with specialized patterns and implementation guidance for building systems that gracefully handle transient failures and unreliable dependencies. It focuses on production-grade strategies including exponential backoff with jitter, bounded retries, and sophisticated timeout management using the Tenacity library and native Python decorators. This skill is essential for developers building microservices, integrating external APIs, or creating high-availability systems where network latency and service outages must be managed without system-wide failure.

Características Principales

• Reusable async-compatible timeout and tracing decorators
• Granular exception and HTTP status code filtering
• Fail-safe default strategies for non-critical operation paths
• 27,605 GitHub stars
• Production-ready Tenacity library implementation patterns
• Automatic retry logic with exponential backoff and jitter

Casos de Uso

• Adding robust retry logic to unstable external API integrations
• Implementing rate-limiting and backpressure handling in data pipelines
• Building fault-tolerant microservices that handle network latency