September 2025 delivered an end-to-end Agent AI deployment workflow on Google Kubernetes Engine (GKE) leveraging the Agent Development Kit (ADK) and a self-hosted LLM served by vLLM. This work provides a scalable, reproducible path for deploying containerized AI agents, combining CI/CD automation, containerization, and IaC provisioning to reduce time-to-market and improve operational control. The deliverables live in the kubernetes-engine-samples repo and establish a solid reference implementation for future AI agent workloads.

April 2025 monthly summary for GoogleCloudPlatform/ai-on-gke. Focused on consolidating tutorials and reducing maintenance overhead by migrating the HF TGI tutorial and JupyterHub deployment guidance to dedicated repositories, updating documentation, and removing obsolete configurations from the main repo. Resulted in clearer ownership, improved onboarding, and lower risk of drift between code and tutorials.