Pod Rightsizing

Requests that track reality.

Set-once-and-drift-forever is how clusters end up 3% utilized. OptOps rightsizes continuously from live usage — with a safety reflex for the spikes.

Book a Demo Sign Up / Sign In

Requested vs. actually used

web tier · 5 workloads · CPU

web-api

checkout

workers

auth

RequestedActual usage

Monthly waste (this tier)

$2,340

Cluster CPU utilization

24%

The grey is what you pay for. The purple is what you use.

A recommendation nobody applies saves nobody money.

Most rightsizing tools produce a report. The report goes into a backlog. The backlog goes stale in a sprint — because workloads change faster than teams re-tune them.

OptOps closes the loop: requests are derived from live usage profiles per workload, keep adjusting as behavior changes, and — when you're ready — apply themselves.

monitoring

Continuous usage profiles

Per-workload, from live metrics — not a point-in-time snapshot.

content_cut

Deployment-level precision

CPU and memory tuned per deployment, savings shown before any change.

receipt_long

Auditable savings

Realized savings tracked separately from remaining opportunity.

Safety reflexes built in

e911_emergency

OOM spike protection

A spike watcher reacts to memory pressure in seconds and scales the workload back up — so one OOM never becomes a crash loop.

block

Hard guardrails

System namespaces are never touched, disruption budgets are respected, and every change is capped — no single adjustment can starve a workload.

undo

Reversible by design

Every applied change is visible and revertible from the console, with the full history of what changed and why.

Ramp into automation

visibility

Shadow mode first

Watch every rightsize the engine would make before enabling anything. Turn on automation per workload, per namespace, or per cluster.

speed

Early access

Pick your risk appetite

Conservative, Balanced, or Aggressive rightsizing profiles — choose how hard the optimizer pushes.

expand

Coming soon

In-place resize

OOM prevention with zero restarts — limits raised in place on the running pod the moment pressure spikes.

See what your workloads actually need

Book a demo and we'll profile a real cluster live — most teams find over half their requested CPU is never used.

Book a Demo