Automatically reduce your Kubernetes costs by up to 45%

Continuously orchestrate Kubernetes resources to fit the actual usage.

Capacity optimization that reduces costs and manual R&D efforts by enabling autonomous dynamic scaling, complementing HPA and rightsizing workloads and nodes.

aws google cloud azure kubernetes Frame-66552 Frame-66559 Frame-66553 red hat openshift
azure google cloud Frame Frame Frame-66467 Frame Frame Frame red hat

3 Easy Steps to Start

1 1
Install by applying one easy deployment YAML
2 2
Apply HPA, CPU and memory recommendations, manually or automatically
3 3
Immediately reduce costs by up to 45%!

Eliminate HPA/VPA Limitations

Works with HPA, acting as an alternative to VPA, allowing companies to scale their Kubernetes pods, workloads and nodes.
hpa vpa
hpa vpa

Hit the Kubernetes Cost Optimization Sweet Spot

Stop the Kubernetes guessing game and save costs while still meeting your SLAs with continuous, and even autonomous, tuning to your Deployments, Rollouts, ReplicaSets, Jobs, DaemonSets, and more.
sweet spot

Start Now

sweet spot
Trusted By

Eliminate over-provisioning

Automatically rightsize your workloads and pay only for what you use

Ensure optimal performance

Keep your competitive SLAs while reducing your Kubernetes cost without compromising performance metrics.

Gain full visibility into your K8s clusters

A simplified, end-to-end overview of your K8s objects: namespaces, deployments, containers, and more.
gmaestro gmaestro gmaestro

Learn how you can save time, reduce your workloads’ costs and scale your infrastructure.

Start Now

Skip to content