Beyond FastAPI: Building a Production-Ready Asynchronous Job Orchestrator in Python
How I built a scalable execution platform for long-running AI workloads using FastAPI, asyncio, multiprocessing, and MongoDB.
Series
Asynchronous Job Orchestrator in Python
In this series I walk through a fast api based job orchestratiohn platform for handling requests for LLM workloads
Posts in this series
Building the Orchestration Layer: Designing a Thin FastAPI API for Long-Running AI Workloads
Accepting requests elegantly
Building the Execution Engine: Queue Manager, Workers and Process Orchestration
Part 3 of the "Beyond FastAPI" series. In the previous article, we built a thin orchestration layer using FastAPI. The API validates incoming requests, persists them as pending jobs, and immediately
The Listener Loop: Turning Jobs into Work
Putting It All Together
"Inside the Worker: Building a Resilient AI Execution Platform"
Inside the brain of a under-rated worker
Making Workers Production Ready
From dependency injection to graceful shutdown: engineering resilient worker processes
