robusta-dev/krr

Health v2 · maintenance only

Adoption not part of the score

4699 stars · 282 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Robusta KRR (Kubernetes Resource Recommender) is a CLI tool that optimizes resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus-compatible sources (Thanos, Victoria Metrics, Mimir, managed Prometheus offerings) and recommends CPU and memory requests and limits to reduce costs and improve performance.

Use cases

• rightsize kubernetes pod cpu and memory requests and limits
• reduce kubernetes cloud costs by eliminating over-provisioned resources
• generate resource recommendation reports from prometheus metrics
• find under-provisioned pods causing performance issues
• audit cluster resource allocation for finops
• automatically apply resource recommendations to deployments

When to choose

• you run workloads on Kubernetes and already have Prometheus or a compatible metrics backend
• you want CLI-based or automated rightsizing recommendations without adopting a full VPA setup
• you need cost optimization reports across namespaces or clusters

When to avoid

• you have no Prometheus-compatible metrics history for your cluster
• you need real-time autoscaling rather than periodic recommendations
• you want a fully managed commercial finops platform with dashboards

Facets

cli-tool · maturity active

monitoring analytics developer-tools cli monitoring cloud-computing developer-tools cli python cross-platform kubernetes prometheus rightsizing finops cost-optimization vpa kubectl resource-recommendations devops containers

Member repositories

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markdown · JSON · MCP: product_card(name="robusta-dev/krr")