metrics-server
metrics-server is a Kubernetes add-on that aggregates resource usage metrics (CPU/memory) from kubelets and exposes them to the Kubernetes API for use by tools like kubectl top, Horizontal Pod Autoscaler (HPA), and other metrics consumers.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Runs in-cluster and communicates with kubelets and the Kubernetes API; effective security depends on correct TLS settings and least-privilege RBAC. No direct evidence of secret-handling or dependency posture from the provided info.
⚡ Reliability
Use Cases
- • Enable kubectl top (top node/pod) by providing aggregated resource metrics
- • Support Horizontal Pod Autoscaler based on CPU/memory utilization
- • Provide metrics to other components that rely on the Kubernetes metrics.k8s.io API
Not For
- • General-purpose metrics storage/visualization (e.g., long-term retention/graphs)
- • Replacing Prometheus/Grafana for full monitoring and alerting
- • Reporting application-level metrics beyond CPU/memory resource usage
Interface
Authentication
metrics-server typically runs as a cluster add-on and relies on Kubernetes RBAC and in-cluster connectivity; no external OAuth scopes are indicated from the provided info.
Pricing
Open-source Kubernetes component; pricing is not applicable based on provided information.
Agent Metadata
Known Gotchas
- ⚠ Kubernetes add-ons require cluster-admin-level setup (RBAC, TLS/kubelet auth, wiring to kubelets) which may cause confusing failures if misconfigured
- ⚠ Behavior can vary by Kubernetes version and kubelet configuration; agent automation should validate API availability (metrics.k8s.io) after deployment
Alternatives
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Scores are editorial opinions as of 2026-04-04.