FREEDOM251

Freedom251 › Auto Scaling Software

ScaleOps

Free trial Self-hostedWeb

Visit ScaleOps Alternatives Pricing

ScaleOps's own site

What ScaleOps is

ScaleOps is a self-hosted Kubernetes platform that continuously allocates and scales CPU, GPU, and memory using workload context. It adjusts pod CPU and memory requests in real time according to workload behavior and live cluster conditions. The platform optimizes node and Karpenter instance selection and disruption budgets to reduce underused capacity. GPU capabilities include dynamic sharing, workload rightsizing, and replica scaling based on pod-level utilization. Cost monitoring can break down Kubernetes costs by cluster, namespace, team, application, annotations, or labels. ScaleOps stores data locally and is described as operating without external dependencies. Supported environments include EKS, GKE, AKS, OpenShift, Rancher, Oracle Cloud, and Alibaba. It describes air-gapped operation and FIPS compatibility for deployment inside FedRAMP-certified environments, and lists SOC 2 Type II among its credentials. Integrations include HPA, KEDA, Karpenter, Cluster Autoscaler, Argo CD, Flux, and CI/CD pipelines. Troubleshooting displays policy changes, restarts, rescheduling, and scaling actions.

Who it suits

It is presented for teams running production applications, AI agents, and inference or training models on Kubernetes. Organizations needing self-hosted optimization, local data storage, GPU controls, and cost breakdowns may fit the stated audience.

What it does well

  • Real-time pod rightsizing
  • GPU sharing and replica scaling
  • Local data storage without external dependencies
  • Supports multiple Kubernetes environments
  • Air-gapped and FIPS-compatible deployment described

What to know first

  • Pricing requires a custom quote
  • Requires Kubernetes deployment
  • No free plan

Limits

ScaleOps has no free plan. Pricing is custom and depends on factors specific to your environment.

Plans

PlanBilled and limitsPrice
Custom quotePricing depends on factors specific to your environment; contact ScaleOps for an accurate quoteOn request

As scaleops.com lists them, read 7 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the ScaleOps website
  2. Start the free trial or contact the ScaleOps team
  3. Prepare a supported Kubernetes environment
  4. Install ScaleOps with its single Helm command
  5. Connect it with existing autoscaling, deployment, and CI/CD tools

Verdict

ScaleOps focuses on workload-aware Kubernetes resource allocation, including CPU, memory, GPU, nodes, and cost visibility. Its self-hosted model and broad environment support suit teams that can operate Kubernetes-based infrastructure.

Questions

How is ScaleOps deployed?

It is deployed on Kubernetes clusters, stores data locally, and operates without external dependencies.

Which Kubernetes environments does it support?

Listed environments include EKS, GKE, AKS, OpenShift, Rancher, Oracle Cloud, and Alibaba.

Does ScaleOps offer a free trial?

Yes. ScaleOps offers a free trial, while its paid pricing is provided on request.

Can it work with existing autoscaling tools?

It works alongside HPA, KEDA, Karpenter, and Cluster Autoscaler, and supports Argo CD, Flux, and CI/CD pipelines.

What GPU capabilities are included?

The GPU platform provides dynamic GPU sharing, workload rightsizing, and replica scaling based on pod-level GPU utilization.

Facts from ScaleOps's own pages

Air-gapped and regulated use
The platform says it operates in air-gapped environments and is FIPS-compatible for deployment inside FedRAMP-certified environments. · scaleops.com, 7 Oct 2026
Cost monitoring
Cost monitoring breaks down Kubernetes costs by cluster, namespace, team, application, annotations, or labels. · scaleops.com, 7 Oct 2026
Deployment model
ScaleOps describes itself as self-hosted, deployed on Kubernetes clusters with data stored locally and no external dependencies. · scaleops.com, 7 Oct 2026
GPU optimization
Its GPU platform includes dynamic GPU sharing, workload rightsizing, and replica scaling based on pod-level GPU utilization. · scaleops.com, 7 Oct 2026
Installation
The company says ScaleOps can be installed with a single Helm command. · scaleops.com, 7 Oct 2026
Integrations
ScaleOps says it works alongside HPA, KEDA, Karpenter, and Cluster Autoscaler, and supports Argo CD, Flux, and CI/CD pipelines. · scaleops.com, 7 Oct 2026
Intended users
The product is presented for teams running production applications, AI agents, and inference or training models on Kubernetes. · scaleops.com, 7 Oct 2026
Node and Karpenter optimization
The platform optimizes node selection and Karpenter instance selection and disruption budgets to reduce underused capacity. · scaleops.com, 7 Oct 2026
Pod rightsizing
It automatically adjusts pod CPU and memory requests in real time based on workload behavior and live cluster conditions. · scaleops.com, 7 Oct 2026
Security
ScaleOps lists SOC 2 Type II among its credentials. · scaleops.com, 7 Oct 2026
Support
ScaleOps offers a demo with a platform expert and invites prospective customers to contact its team for help. · scaleops.com, 7 Oct 2026
Supported environments
It lists EKS, GKE, AKS, OpenShift, Rancher, Oracle Cloud, and Alibaba among the Kubernetes environments it supports. · scaleops.com, 7 Oct 2026
Troubleshooting
Its troubleshooting feature shows policy changes, restarts, rescheduling, and scaling actions to help teams investigate production issues. · scaleops.com, 7 Oct 2026
What it does
ScaleOps continuously allocates and scales CPU, GPU, and memory using workload context to support reliability and optimize costs. · scaleops.com, 7 Oct 2026

Where ScaleOps stands on Freedom251

Look at these too