gke-workload-scaling
openbooklet.com/s/gke-workload-scalingopenbooklet.com/s/gke-workload-scaling@1.0.0GET /api/v1/skills/gke-workload-scalingSpecific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.
Expert at discovering golden base images for GKE custom nodes using technical specs or context clues.
Guide for creating GKE ComputeClass resources. Use this skill when users want to define custom node configurations, autoscaling priorities, or hardware requirements (e.g., Spot VMs, GPUs, specific machine families) for their GKE workloads.
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.
Workflows for auditing and hardening the security of GKE workloads.
Auto-indexed from GoogleCloudPlatform/gke-mcp
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