metrics-server
metrics-server (Kubernetes) aggregates and exposes resource metrics (CPU/memory) for Horizontal Pod Autoscaler (HPA) and related autoscaling/metrics consumers via the Kubernetes Metrics API (/apis/metrics.k8s.io).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security primarily depends on Kubernetes RBAC and network access to kubelets/Kubernetes API. metrics-server should be deployed with least-privilege service account permissions; avoid overly broad RBAC. TLS is typically used via Kubernetes API server and kubelet endpoints depending on cluster configuration.
⚡ Reliability
Best When
You need Kubernetes resource metrics for autoscaling and other cluster components and want the lightweight aggregated Metrics API.
Avoid When
You require long-term metric retention, high-cardinality analytics, or a complete monitoring solution.
Use Cases
- • Enable HPA based on CPU/memory utilization
- • Provide Kubernetes Metrics API for components that rely on aggregated pod/node resource metrics
- • Support dashboards/operations tooling that query metrics.k8s.io
Not For
- • A full monitoring/observability stack (logs, traces, long-term metrics storage)
- • High-cardinality or business-metric analytics
- • Direct Prometheus-like time-series scraping requirements without an external adapter
Interface
Authentication
Authentication is typically handled by Kubernetes (service accounts + RBAC) rather than a standalone OAuth/API-key system.
Pricing
Open-source software typically self-hosted; any 'cost' is infrastructure/operational effort.
Agent Metadata
Known Gotchas
- ⚠ Relies on Kubernetes API availability and RBAC permissions; failures may surface as HTTP 403/401/5xx from the API server
- ⚠ Metrics can be missing/lagged if scraping/aggregation fails or kubelets are not reachable
- ⚠ HPA requires correct metrics API availability and suitable permissions
Alternatives
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Scores are editorial opinions as of 2026-04-04.