The honest practitioner's take on agentic AI on Kubernetes | BRK222

A practical guide for developers building agentic AI systems in production on Kubernetes. Covers the unique challenges of stateful, bursty, multi-step AI workflows that span clusters, with focus on training, inference, and agent orchestration. Includes architecture guidance for AnyScale Runtime integration with Azure, purpose-built tooling, and managed vs open-source inference options. For experienced engineers deploying AI at scale.