PerfectScalePerfectScale

See how PerfectScale right-sizes Kubernetes without restarts

Get a technical walkthrough of how PerfectScale finds overprovisioned workloads, protects performance, and automates resource tuning across production clusters.

PerfectScale helps platform teams reduce Kubernetes waste without the tradeoffs of manual tuning, restart-based vertical autoscaling, or tools that stop at recommendations. It continuously right-sizes live workloads, keeps requests aligned with real usage, and helps you lower spend without compromising stability. In your demo, we'll show how PerfectScale surfaces safe savings opportunities, validates changes before they hurt performance, and operates across EKS, GKE, AKS, and self-managed clusters. You'll see how teams use it to cut noisy tuning work, avoid restart-heavy workflows common in alternative approaches, and keep clusters efficient as they scale.

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Trusted by platform teams running production at scale

Spotify
Datadog
GitLab
MongoDB
Redis
Elastic
Grafana
HashiCorp

PerfectScale gave us a safer alternative to restart-based rightsizing. We cut waste without putting production stability at risk.

Daniel Kim, Staff Platform Engineer at North Ridge