asyncio-pipeline-patterns

name	asyncio-pipeline-patterns
description	Apply asyncio patterns for concurrent IO, background work, and coordinated refresh flows in Python analytics services.
license	MIT
compatibility	opencode
metadata	{"audience":"backend-engineers","domain":"asyncio"}

What I do

• Recommend when to use concurrent tasks, queues, background loops, or fan-out patterns.
• Keep async code safe around cancellation, timeouts, and backpressure.
• Distinguish request-path concurrency from scheduled refresh work.
• Highlight where sync code would block realtime analytics delivery.

Focus areas

• async IO only where it provides real value
• bounded concurrency
• graceful cancellation
• explicit timeout handling
• avoiding hidden event-loop blocking

Guardrails

• Do not introduce asyncio complexity when a synchronous path is enough.
• Make data freshness and retry behavior observable.