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gke-cost

Automate GKE cost optimization by rightsizing workloads and configuring Spot VMs.

Updated Jul 4, 2026
Search Tags:#cost optimization#cloud computing#GKE#workload management#Spot VMs
One-click install
npx skills add https://github.com/ssmleo/govfolio --skill gke-cost-ssmleo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gke-cost
Source: https://github.com/ssmleo/govfolio/tree/main/.agents/skills/gke-cost
Command: npx skills add https://github.com/ssmleo/govfolio --skill gke-cost-ssmleo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the optimization of GKE costs, workloads, and configurations, reducing unnecessary expenses and improving resource utilization.

Core Features & Use Cases

  • Cost Reduction: Identify and implement strategies to reduce GKE costs.
  • Workload Rightsizing: Optimize GKE workloads to the right size for better resource allocation.
  • Spot VMs Configuration: Automate the configuration of Spot VMs for cost savings on fault-tolerant workloads.
  • Use Case: Use this Skill to configure Spot VMs for a batch processing workload, saving up to 60-90% on costs.

Quick Start

Optimize GKE costs for a specific workload by running the 'optimize-gke-costs' script with the target cluster and cost parameters.

Frequently Asked Questions about gke-cost

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize GKE costs by automating workload rightsizing?▼

You can automate GKE cost optimization by running the provided script with target cluster and cost parameters. This process analyzes resource allocation and applies rightsizing strategies to reduce unnecessary cloud computing expenses.

Can I configure Spot VMs in Google Kubernetes Engine for batch processing workloads?▼

Yes, you can configure Spot VMs in Google Kubernetes Engine for fault-tolerant batch processing workloads. This Skill automates Spot VM setup to achieve cost savings of up to 60-90% on compatible GKE workloads.

What information is needed to start automating GKE cost management?▼

Starting GKE cost management requires Kubernetes, GKE, and GCP billing information. You must provide the target cluster and cost parameters when running the optimization script to analyze and reduce cloud computing expenses.

What is the best way to reduce Google Kubernetes Engine billing for cloud-native applications?▼

The best way to reduce Google Kubernetes Engine billing for cloud-native applications is automating workload rightsizing and Spot VM configurations. This approach targets unnecessary expenses while maintaining resource availability for your GKE workloads.

Are there limitations to using Spot VMs for GKE workload management?▼

Spot VM configurations are limited to fault-tolerant workloads because Spot instances can be reclaimed by Google Kubernetes Engine. Avoid using Spot VMs for GKE workloads requiring continuous availability or strict state management.

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