Run your Kubernetes workloads on auto-pilot
The ScaleOps platform simplifies Kubernetes resource management by automatically adjusting nodes and pods to match real-time demand.
Designed and developed with DevOps in mind
Continuous & Automatic Pod Rightsizing
Automatically adjusts CPU and Mem requests of Kubernetes pods during runtime. Significantly reduce compute costs and eliminate OOM and CPU throttling by dynamically scaling resources according to workloads needs.
Optimal Node Utilization
Automatically optimize Kubernetes nodes and boost cluster efficiency by consolidating pods onto more suitable nodes and removing unnecessary ones.
Workload-Based Scaling Policies
Select from multiple pre-defined scaling policies that match your workload needs, accelerate your time to value and start saving in minutes.
Simplified Cost Visibility
Easily analyze cluster costs, set alerts for budget deviations, with a simplified cost showback dashboard.
Your workloads, for 80% less
Disclaimer: a 30-minute demo might blow your mind
30 day free trial
The Bottom Line
The right compute at the right time
Worry less about your cloud infrastructure
Easy and simple to use
Give engineers their time back with automation that works 24/7
Maximize DevOps productivity
Onboard in minutes, and start saving immediately
F.A.Q.
What level of automation does the platform provide?
ScaleOps was developed to eliminate the need for any manual configuration, so engineers can put their workloads on auto-pilot and achieve the most optimal utilization of compute resources.
Is ScaleOps secured?
ScaleOps is not a SaaS platform, it is a light agent installed locally on the Kubernetes cluster, so all the data is stored locally.
Can ScaleOps integrate with Open-source auto-scalers?
Yes! ScaleOps seamlessly integrates with Karpenter, Cluster auto-scaler, HPA, or Keda to deliver that extra layer of optimization.
