K8s Resource Optimizer

name: k8s-resource-optimizer
version: 1.0.0
description: Analyzes Kubernetes resource usage metrics and historical data to suggest optimal CPU and Memory requests and limits. Use to reduce cloud costs, prevent OOMKills, and improve overall cluster reliability by right-sizing your deployments.
inputs:
  manifest_path:
    type: string
    description: Path to the K8s deployment YAML to optimize.
    required: true
  usage_metrics:
    type: object
    description: Historical metrics (e.g., from Prometheus) for the pods.
outputs:
  recommendations:
    type: array
    items:
      type: object
      properties:
        container:
          type: string
        current:
          type: object
        suggested:
          type: object
        savings_estimate:
          type: string
capabilities:
  - Analysis of peak vs. average resource usage.
  - Correlation between resource limits and historical throttling or OOM events.
  - Automated generation of 'Patch' YAML to apply recommendations.
constraints:
  - Requires accurate historical metrics for precise recommendations.
  - Recommendations favor stability over aggressive cost-cutting by default.
security:
  - Does not require direct cluster access if metrics are provided as input.
  - Analyzes configuration only; does not modify live clusters automatically.
examples:
  - input:
      manifest_path: "./deploy.yaml"
    output:
      recommendations:
        - container: "api-server"
          current: {cpu: "1", mem: "2Gi"}
          suggested: {cpu: "500m", mem: "1Gi"}
          savings_estimate: "$15/month"