See which pods are eating your resources
kubectl top pods gives you a static snapshot. Kubius shows pod CPU and memory usage live, sortable, and - crucially - against each pod's requests and limits, so you can tell a busy pod from one that's about to be throttled or OOM-killed.
Works with Google GKE, Amazon EKS, Azure AKS, DigitalOcean, self-managed & more · macOS Sonoma (14) or later
Usage that means something
Used vs requested vs limit
Every pod's CPU and memory usage is shown against its requests and limits - so you see who's near a limit, not just who's busy.
Sort to the top
Rank pods by CPU or memory (used or requested) to find the heaviest hitters instantly.
History as charts
Open a pod and see its CPU and memory over time with request, limit and capacity lines - a spike or a slow leak is obvious.
Per node, too
See top consumers on a specific node, so you can tell which workload is pushing a node toward pressure.
Straight to right-sizing
When a pod is over- or under-provisioned, jump to right-sizing recommendations and apply them.
No Prometheus
Reads live from metrics-server - nothing to deploy, no dashboards to build.
Simple, one-time pricing
Pay once. No subscription.
One-time licence from €49 - no subscription. 14-day free trial, no card required.
Free 14-day trial · macOS Sonoma (14) or later · No agents, nothing to install in-cluster
Questions, answered
How is this different from kubectl top?
kubectl top is a static snapshot of usage. Kubius shows usage live and sortable, but also against each pod's requests and limits (not just raw numbers), and charts the history - so you can tell a pod that's near its limit from one that's simply busy.
Can I find the heaviest pods quickly?
Yes - sort pods by CPU or memory, used or requested, to surface the top consumers immediately, cluster-wide or on a specific node.
Do I need Prometheus?
No. Kubius reads usage from metrics-server, the same source kubectl top uses - there's nothing extra to install.
Can it help me fix over-provisioning?
Yes - from a pod you can jump to right-sizing recommendations that sample real usage and propose new requests and limits.