ScaleOps

What is ScaleOps?

ScaleOps is a Kubernetes resource automation platform that continuously adjusts workloads to real-time demand. It rightsizes CPU and memory requests and limits per pod, aiming to reduce waste and improve reliability.

Key capabilities of ScaleOps

• Pod rightsizing: Adjusts CPU and memory requests and limits per pod based on live demand
• Policy automation: Applies an appropriate scaling policy to each workload
• Replica optimization: Manages min and max replicas and scaling triggers
• Node optimization: Consolidates underutilized nodes using Karpenter
• Smart Pod Placement: Resolves scheduling restrictions
• Cost visibility: Breaks down compute, network and GPU cost by cluster, namespace, label or team

How ScaleOps works

ScaleOps is deployed in your cluster through Helm and runs alongside native autoscaling such as HPA, Cluster Autoscaler and Karpenter. It watches real-time usage, resizes pod requests, and as requests shrink, Karpenter can remove freed nodes.

Who uses ScaleOps?

Platform, DevOps and FinOps teams running Kubernetes at scale who want automatic resource tuning instead of manual request tuning.

ScaleOps pricing

ScaleOps does not publish a price table on the pages reviewed. Plans are arranged with the vendor.

ScaleOps alternatives

Alternatives include Sedai for autonomous cloud optimization, Datadog for observability with Kubernetes features, and CAST AI for automated cluster cost management.