Creates a GKE cluster, configures networking, sets up observability, and applies reliability patterns.

Analyzes current usage, recommends cost-saving measures, and applies optimizations to GKE workloads.

For platform engineers optimizing GKE costs and managing multi-tenant clusters with resource isolation.

For teams running batch/HPC and AI/ML inference workloads on GKE with specialized hardware.

Deploy and optimize AI/ML inference workloads on GKE using GPUs, TPUs, and model servers.