metrics-server
metrics-server is a Kubernetes component that aggregates resource usage metrics (typically CPU/memory) from kubelets and exposes them to the Kubernetes API (for use by components like kubectl top and Horizontal Pod Autoscaler).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Runs inside Kubernetes; transport security typically relies on the Kubernetes control plane/proxying and TLS defaults. Authorization is governed by RBAC; operational security depends on least-privilege configuration. No direct evidence provided here of dependency scanning status or specific secret handling patterns.
⚡ Reliability
Best When
You want lightweight, in-cluster aggregation of node/pod resource metrics for Kubernetes-native autoscaling and visibility.
Avoid When
You need durable metrics storage, rich label-based analytics, or non-Kubernetes metric ingestion.
Use Cases
- • Enable kubectl top for cluster resource monitoring
- • Support Horizontal Pod Autoscaler (HPA) based on CPU/memory metrics
- • Provide aggregated metrics for other Kubernetes controllers/add-ons
Not For
- • Providing application-level business metrics (APM/trace/log analytics)
- • Long-term metrics storage/queries (use Prometheus/Thanos/etc. for that)
- • External multi-tenant metrics collection for non-Kubernetes environments
Interface
Authentication
Authentication is handled via Kubernetes service account identities and RBAC when deployed in a cluster; no external OAuth-style flow is indicated.
Pricing
Open-source/self-hosted component; cost depends on your infrastructure/cluster operation.
Agent Metadata
Alternatives
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Scores are editorial opinions as of 2026-04-04.