python-infrastructure

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Python patterns for system reliability — background jobs and task queues (NATS JetStream via nats-py), durable multi-step workflows (Dapr Workflow via dapr-ext-workflow), resilience and recovery (retries, backoff, timeouts, circuit breakers via tenacity), caching (Redis), and observability (OpenTelemetry traces, metrics, logs via OTLP). USE WHEN building async workers, queueing tasks, designing fault-tolerant multi-step workflows that must survive crashes, handling transient network/IO failures, instrumenting Python services for production, designing retry policies, configuring tracing/metrics, or caching with Redis. NOT FOR language idioms or type hygiene (use `writing-python`), HTTP routing (use `fastapi`), or deep OTel reference (use `otel`).

By AI-Riksarkivet schedule Updated 6/1/2026

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npx skills add https://github.com/AI-Riksarkivet/ra-hcp --skill python-infrastructure

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