hyx 0.0.2rc0

Lightweight fault tolerance primitives for your modern Python microservices

🧘‍♂️️Lightweight fault tolerance primitives for your resilient and modern Python microservices

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Hyx provides you with a toolkit that includes common fault tolerance patterns like:

• bulkhead
• cache
• circuit breaker
• circular buffer
• fallback
• rate limiter
• retries
• timeout / time limiter

All components are designed to be:

• asyncio-native
• in-memory first
• dependency-less

With that patterns you should be all set to start improving your resiliency right after the library installation.

Component Map

Component	Problem	Solution	Implemented?
🔁 Retry	The failures happen sometimes, but they self-recover after a short time	Automatically retry operation on temporary failures	✅
💾 Cache
⚡️ Circuit Breaker	When downstream microservices have got overloaded, sending even more load can make the situation only worse.	Stop doing requests to your failing microservice temporarily if amount of errors exceeded expected thresholds. Then see if the given time helped the microservice to recover	✅
⏱ Timeout	Sometimes operations may take too much time. We cannot wait that long or after that time the success is unlikely	Bound waiting to a reasonable amount of time	✅
🚰 Bulkhead	If executed without control, some code can take too much resources and put down the whole application (and upstream services) or cause slowness of other places of the application	Fix the amount of calls to the code, queue other calls and fail calls that goes beyond your capacity	✅
🏃‍♂️ Rate Limiter
🤝 Fallback	Nothing can guarantee you that your dependencies will work. What would you do when it's failing?	Degrade gracefully by defining some default values or placeholders if your dependencies are down	✅

Inspired by Polly's Resiliency Policies

Acknowledgements

• resilience4j/resilience4j
• Netflix/Hystrix
• slok/goresilience
• App-vNext/Polly
• Diplomatiq/resily