gke-workload-scaling
Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.
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Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.
Guides the user through creating GKE clusters using pre-defined templates (Standard, Autopilot, GPU/AI).
Deploy optimized AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ). Covers model discovery, manifest generation, and deployment using native MCP tools and CLI.
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