Python patterns for system reliability — background jobs and task queues (Celery, async), resilience and recovery (retries, backoff, timeouts, circuit breakers via tenacity), and observability (structured logging via structlog, metrics, distributed tracing, golden signals). USE WHEN building async workers, queueing tasks, handling transient network/IO failures, instrumenting Python services for pr
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Python Infrastructure
System-reliability concerns for Python services, grouped because real code uses them together: a task you queue (background-jobs) needs retries (resilience) and instrumentation (observability) on the same call path.
Scope routing
If you need to…
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Design a task queue, schedule recurring jobs, or run async workers (Celery, RQ, asyncio task pools)
References/background-jobs.md
Decide what to retry, with what backoff, and when to stop (tena
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