AgentSkillsCN

k8s-resource-optimizer

分析Kubernetes资源使用指标与历史数据，提出最优的CPU与内存请求及限制建议。通过合理调整部署规模，降低云成本、预防OOMKill，并提升集群整体可靠性。

SKILL.md
--- frontmatter
name: k8s-resource-optimizer
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.

K8s Resource Optimizer

Purpose and Intent

The k8s-resource-optimizer helps teams balance performance and cost. It identifies containers that are either "starving" (causing crashes) or "bloated" (wasting money) by comparing their configuration against actual usage patterns.

When to Use

  • •Cloud Cost Optimization: Run monthly to identify waste in your clusters.
  • •Reliability Engineering: Use after a production incident involving OOMKills to find the correct memory threshold.
  • •Pre-production Scaling: Set realistic requests/limits before a major launch.

When NOT to Use

  • •Initial Development: Don't over-optimize before you have real traffic patterns.
  • •Real-time Autoscaling: This tool is for "right-sizing" configuration; use a HPA/VPA for real-time adjustments.

Security and Data-Handling Considerations

  • •No live cluster interaction required if metrics are passed as text/json.
  • •Safe to run on infrastructure-as-code files.