Kubernetes

Kubernetes Cluster Capacity Calculator

Enter node specs, count, and system reservation percentage to compute total allocatable CPU and memory, max schedulable pods, and DaemonSet overhead.

Calculations run locally in your browser

Example โ€” 3 nodes ร— 8 vCPU/32 GB ยท 10% reserve ยท 70% target

Usable vCPU
15.1 cores
of 24 raw
Usable Memory
60.5 GB
of 96 GB raw
Node Count
3
small cluster
Allocatable
63%
after reserve and target utilization

Kubernetes Cluster Capacity Calculator

The Kubernetes Cluster Capacity Calculator computes allocatable CPU and memory from node specs and system reservation, with schedulable pod count at target utilization.

โ€ข Calculate how many pods fit on a cluster before scaling the node pool

โ€ข Determine node count needed for a given workload CPU and memory requirement

โ€ข Account for DaemonSet and system overhead when planning cluster capacity

โ€ข Model utilization headroom needed for autoscaler to avoid pod pending states

Continue with Utility Matrix tools for the next decision in this workflow.
Browse tools โ†’
What does this tool tell you?
The Kubernetes Cluster Capacity Calculator computes allocatable CPU and memory from node specs and system reservation, with schedulable pod count at target utilization.
What affects the result most?
Allocatable resources: node capacity minus kube-reserved and system-reserved. Bin packing efficiency: actual pod scheduling vs theoretical maximum given resource fragmentation. Node autoscaler headroom: how many pending pods can be handled before autoscaler triggers.
How should I use the result?
The calculation is deterministic โ€” the same inputs always produce the same output โ€” so the most useful workflow is to vary one input at a time and see which factor moves the result most. That tells you where to focus your attention before committing to a decision.
One cluster is not the full picture. Score capacity risk everywhere. The Cloud & Infra Analyzer runs capacity scenarios against your real resource data โ€” shows where limits hit first and what it costs to fix.
See cluster risk ranking โ†’