CloudKeeper Kubernetes Tuner is a self-hosted platform for managing Kubernetes costs through workload rightsizing and node consolidation. It analyzes observed CPU and memory use to recommend pod sizing, and bin-packing can consolidate workloads onto fewer nodes. Cluster views show cost and utilization, identify idle capacity, and track savings. The product is described as supporting AWS EKS, GCP, Azure, and on-premises environments, and working alongside HPA, VPA, and Karpenter. Analysis uses read-only access; self-hosting keeps data within the customer’s environment. It collects resource metrics and configuration metadata rather than application data, secrets, or payload content. Automation is controlled through policies, with production changes opt-in. Actions account for PodDisruptionBudgets and replica counts. Teams can choose which environments allow automation. The page offers early access, and says initial recommendations are available within 48 hours of connecting a cluster. Pricing is available on request. A SaaS option is in development. The product is intended for teams seeking Kubernetes cost optimization while retaining control over changes to production environments.
Who it is for
CloudKeeper Kubernetes Tuner suits teams that want to optimize Kubernetes costs while deciding which environments can receive automated changes. Its self-hosted deployment, read-only analysis, and policy controls may fit teams that want data kept in their own environment and production changes to remain opt-in.
What is good
- Rightsizes pods using observed CPU and memory usage.
- Consolidates workloads onto fewer nodes through bin-packing.
- Shows cluster cost and utilization, idle capacity, and tracked savings.
- Supports AWS EKS, GCP, Azure, and on-premises environments.
- Works alongside HPA, VPA, and Karpenter.
- Self-hosted deployment keeps data in the customer’s environment.
What to know first
- Pricing is available on request.
- The product is offered in early access.
- The SaaS option is still in development.
Verdict
Consider CloudKeeper Kubernetes Tuner if your team needs workload-level cost optimization with policy controls and self-hosted data handling. Its early access status and pricing-on-request model may make it a poor fit for teams seeking an immediately available, publicly priced SaaS service.
Get started with CloudKeeper Kubernetes Tuner
- Visit https://www.cloudkeeper.com/cloudkeeper-kubernetes-tuner.
- Request pricing and early access.
- Connect a Kubernetes cluster for analysis.
- Review initial recommendations, available within 48 hours of connecting a cluster.
- Set policies and opt in to production changes for selected environments.
Limits to know first
The product is offered in early access, and pricing is available on request. The SaaS option is in development; the listed deployment platform is self-hosted.
Questions about CloudKeeper Kubernetes Tuner
How is CloudKeeper Kubernetes Tuner priced?
Pricing is available on request.
Is it self-hosted or SaaS?
The listed platform is self-hosted. A SaaS option is in development.
Which cloud environments does it support?
AWS EKS, GCP, Azure, and on-premises environments are listed.
Which Kubernetes tools does it work alongside?
It is designed to work alongside HPA, VPA, and Karpenter.
What data does the product collect?
It collects resource metrics and configuration metadata, not application data, secrets, or payload content.
When are initial recommendations available?
They are available within 48 hours of connecting a cluster.
Compared on Kubernetes cost management software
- Allocation granularity
- workload
- Rightsizing recommendations
- Yes
