kube-capacity
by robscott
kube-capacity is a simple CLI tool that provides a consolidated overview of resource requests, limits, and utilization across Kubernetes clusters.
A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster
Primary Use Case
This tool is designed for Kubernetes administrators and DevOps engineers who need to monitor and optimize resource allocation within their clusters. It helps users quickly assess CPU and memory usage, requests, and limits at both node and pod levels, enabling better capacity planning and troubleshooting.
- Displays resource requests and limits for CPU and memory at node and pod levels
- Combines output similar to `kubectl top` and `kubectl describe` for easier resource overview
- Supports cluster-wide totals for multi-node clusters
- Includes pod-specific resource details with `--pods` option
- Shows real-time resource utilization metrics when `--util` is enabled (requires metrics-server)
- Provides installation via Homebrew and Krew plugin manager
- Outputs clear tabular data for quick analysis
Installation
- Access pre-built Go binaries from the GitHub releases page
- Install via Homebrew: `brew tap robscott/tap`
- Install via Homebrew: `brew install robscott/tap/kube-capacity`
- Install via Krew: `kubectl krew install resource-capacity` (use `kubectl resource-capacity` if installed this way)
Usage
>_ kube-capacityDisplays a summary of CPU and memory requests and limits for all nodes in the cluster, including cluster-wide totals.
>_ kube-capacity --podsIncludes detailed pod-level resource requests and limits alongside node summaries.
>_ kube-capacity --utilAdds current CPU and memory utilization metrics to the output, showing how usage compares to requests and limits.
>_ kubectl resource-capacityEquivalent command when kube-capacity is installed via Krew plugin.
- Integrate kube-capacity into CI/CD pipelines to detect resource misconfigurations early in the deployment process.
- Use real-time utilization data to trigger automated scaling or alerting to prevent denial-of-service conditions caused by resource exhaustion.
- Combine with Kubernetes RBAC auditing tools to correlate resource usage anomalies with potential privilege escalations or lateral movement.
- Leverage kube-capacity outputs to optimize container resource limits, reducing attack surface related to resource exhaustion and improving cluster stability.
- Incorporate kube-capacity metrics into security dashboards for continuous monitoring and anomaly detection in container environments.
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