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. Automatically optimize Kubernetes nodes and boost cluster efficiency by consolidating pods onto more suitable nodes and removing unnecessary ones. Select from multiple pre-defined scaling policies that match your workload needs, accelerate your time to value and start saving in minutes. Easily analyze cluster costs, set alerts for budget deviations, with a simplified cost showback dashboard.
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