{"slug": "i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-here-s-the", "title": "I built a production ML inference API with FastAPI, Celery and Docker — here's the full architecture", "summary": "A developer built a production ML inference API using FastAPI, Celery, and Docker. The architecture uses FastAPI for async HTTP handling, Celery for background task processing, and Redis for queue and result storage. The project includes a testing strategy with in-memory Celery eager mode to avoid Redis dependency during tests.", "body_md": "Para 1 — The problem\n\n\"Most ML tutorials end at model.fit().\n\nGetting a model into production is a completely\n\ndifferent skill. Here's how I built a real async\n\ninference microservice.\"\n\nPara 2 — Architecture diagram\n\nPaste the ASCII diagram from your ARCHITECTURE.md\n\nPara 3 — The three components\n\nFastAPI handles HTTP (why async matters)\n\nCelery handles background work (why not just threads)\n\nRedis handles both queue and results (why one service)\n\nPara 4 — Key code snippet (predict_async endpoint)\n\nShow 15 lines of code — the async endpoint that\n\ndispatches to Celery and returns task_id immediately\n\nPara 5 — Testing strategy\n\n\"I used in-memory Celery eager mode so tests\n\nrun without Redis. Here's the conftest pattern.\"\n\nShow 10 lines of conftest.py\n\nPara 6 — The result\n\nScreenshot of the UI dashboard\n\nScreenshot of 47 tests passing\n\nClosing line:\n\n\"If you want the full source code with Docker,\n\nCI pipeline, Postman collection and deployment\n\nguide, I packaged it here: [Gumroad link]\"", "url": "https://wpnews.pro/news/i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-here-s-the", "canonical_source": "https://dev.to/sadanand__07/i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-heres-the-full-26lk", "published_at": "2026-06-21 03:51:35+00:00", "updated_at": "2026-06-21 04:36:34.947502+00:00", "lang": "en", "topics": ["machine-learning", "developer-tools", "ai-infrastructure"], "entities": ["FastAPI", "Celery", "Docker", "Redis"], "alternates": {"html": "https://wpnews.pro/news/i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-here-s-the", "markdown": "https://wpnews.pro/news/i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-here-s-the.md", "text": "https://wpnews.pro/news/i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-here-s-the.txt", "jsonld": "https://wpnews.pro/news/i-built-a-production-ml-inference-api-with-fastapi-celery-and-docker-here-s-the.jsonld"}}