Title: Discussion 4 — Ordering the AI Pipeline
Course: AIINFRA 101: Applied Infrastructure & Containerization > Section: Week 04 — Docker Compose & Multi-Container AI Applications

💬 Discussion 4 — Ordering the AI Pipeline (20 pts)

In a multi-container AI system with separate training, serving, and caching components, how would you design your Compose file to make sure the inference service doesn't start accepting traffic until the model-serving backend is fully initialized and has actually loaded its model into memory? In your post, address:

- What specific healthcheck would you write for the model-serving backend (what command or endpoint would prove it's truly ready, not just started)?
- How would you configure depends_on on the inference service to use that healthcheck?
- What could go wrong in your design if you skipped the healthcheck and relied on depends_on alone?

Post your initial response, then respond to at least two classmates — compare their healthcheck design to yours and suggest one improvement or edge case they may have missed.