Can I use this skill for storage cost management?

Yes, it includes templates specifically designed to restrict Persistent Volume Claim (PVC) sizes, preventing expensive over-allocation in non-production environments.

Does this replace standard Kubernetes ResourceQuotas?

No, it complements them. While ResourceQuotas set namespace-level caps, Kyverno policies validate and enforce specific configurations at the individual workload level before admission.

How does this skill help with production scaling?

It provides automated enforcement policies that mandate the presence of a Horizontal Pod Autoscaler (HPA) for any deployment within production-grade namespaces.

What is the primary benefit of using Kyverno resource governance?

It prevents 'noisy neighbor' scenarios where one workload consumes all cluster resources, ensuring fair distribution and system stability.

Kyverno Resource Governance Templates

Name: Kyverno Resource Governance Templates
Author: adaptive-enforcement-lab

byadaptive-enforcement-lab

Deployment & DevOps

Enforces Kubernetes resource limits, autoscaling requirements, and storage constraints using Kyverno policy-as-code.

About

This skill empowers Claude to implement and manage Kyverno policies focused on Kubernetes resource governance, ensuring cluster stability and cost efficiency. It provides pre-configured templates for mandating CPU and memory limits to prevent noisy neighbor issues, requiring Horizontal Pod Autoscalers (HPA) for production environments, and restricting Persistent Volume Claim (PVC) sizes. By automating these enforcement patterns, developers can maintain high-performance, well-architected Kubernetes clusters while preventing accidental over-provisioning and resource starvation across multi-tenant environments.

Key Features

Integrates Kyverno policies with existing Kubernetes ResourceQuotas and LimitRanges
0 GitHub stars
Enforces Horizontal Pod Autoscaler (HPA) requirements for production namespaces
Restricts storage allocation sizes to manage infrastructure costs
Provides best-practice templates for resource management and right-sizing
Mandates CPU and memory limits across all container workloads

Use Cases

Preventing single pods from exhausting node capacity in multi-tenant clusters
Automating production readiness checks by ensuring all deployments have autoscaling configured
Controlling cloud spend by limiting storage volume provisioning in development environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptive-enforcement-lab/claude-skills kyverno-resource-governance-templates

For use in Claude.ai and ChatGPT

Download Skill

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