Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
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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
[Description truncada. Veja o README completo no GitHub.]
