stepscale
Who it is for

Built for teams that run real Kubernetes workloads

stepscale is early. The Community tier is public and self-serve, so the fastest way to see whether it helps is to install it on a real cluster and read what it finds. Public case studies will come as design partners go to production.

Design partner program

Work with us on the apply path

Running the analysis is self-serve. If you want the operator to act on its recommendations, with the probation and rollback safety net, we are working with a small group of design partners on the apply and predictive-schedule features and offering a 30-day full trial.

What teams care about

Cloud spend

minReplicas floors set during an incident idle 24/7 and never come down. stepscale finds the ones it can safely cut, with a savings estimate.

Latency under load

Scale-up that lags a traffic spike turns into pager events. The rule engine flags scale-lag and proposes target and stabilization fixes.

Less platform toil

Stop reviewing HPA configs PR by PR. The operator reads the real metrics and tells you what to change, and why.