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I Built a Production-Grade Async Job Queue from Scratch — Here's Everything That Actually Happened

TL;DR AI

Key summary

2 min read
  1. Built a production-grade async job queue from scratch with Python, FastAPI, Redis Streams, and PostgreSQL, instead of relying on Celery.

  2. The system adds backpressure, priority scheduling, crash recovery, and a Reaper service to handle timed-out and zombie jobs.

  3. The project was developed in eight validated stages and finished with 47 passing tests, 85% coverage, and a mostly complete services layer.

  4. It offers a practical blueprint for designing reliable backend queues and preparing for systems design interviews.

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