Building a Production AI Platform: Kubernetes, GitOps, IaC, Security, and Observability

Thanks for taking the time to read. If you’ve worked on AI platforms, cloud infrastructure, or platform engineering, I’d love to hear how your architecture differs in the comments.

In Part 4 of AI Infrastructure for Cloud Engineers, we looked at FinOps for AI and how GPU utilization, token consumption, model choice, and inference volume affect cost.

Read Part 4: FinOps for AI: Understanding GPU, Token, and Inference Costs

So far, we have looked at individual parts of AI infrastructure:

Kubernetes