Automated Kubernetes Resource Optimization
Reduce your K8s costs by up to 80% using automatic optimization of pods and nodes to meet real-time demand without sacrificing performance.
TRUSTED BY DEVOPS, LOVED BY FINOPS
Dynamic & Automated Optimization of Kubernetes Workloads
Dynamic Pod Rightsizing
Break through the static limitations of manually setting CPU and Memory requests and limits with automated pod rightsizing. ScaleOps continuously analyzes your containers’ compute usage and vertically scales K8s pods to meet demand in runtime.
Node Optimization
Continuously reduce cluster compute costs by identifying opportunities to remove under-provisioned nodes, replacing expensive nodes with more cost-effective alternatives, and consolidating pods onto efficient compute resources. ScaleOps responds rapidly and automatically to rapid load changes, ensuring optimal performance and cost-efficiency
Cost Visibility
Gain real-time recommendations, understand your cost structure, detect anomalies in resource consumption, and receive real-time alerts accordingly.
SELF-HOSTED AND SUPPORTS ALL K8S ENVIRONMENTS
What Our Customers Say About Us
Why ScaleOps
Up to 80% cost savings
Dramatically reduce the amount of nodes in your cluster
Free your engineers
Free engineers from repeated manual configuration cycles
Ensures workloads SLA
The right compute, at the right time
Start saving in minutes, not days
Disclaimer: a 30-minute demo might blow your mind
30 day free trial