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CloudKeeper Kubernetes Tuner
What it is
CloudKeeper Kubernetes Tuner is a self-hosted platform for controlling Kubernetes costs through policy-based optimization. It examines observed CPU and memory use to recommend pod rightsizing without manual YAML edits. Its bin-packing capability consolidates workloads onto fewer nodes, while dashboards show cluster cost, utilization, idle capacity, node packing, pod requested-versus-actual resources, and savings. The page describes support for AWS EKS, GCP, Azure, and on-premises environments, alongside HPA, VPA, and Karpenter. Analysis uses read-only access, and the self-hosted deployment keeps data inside the customer’s infrastructure. The product collects resource metrics and configuration metadata rather than application data, secrets, or payload content. Teams can choose which environments automate, which need approval, and what spending thresholds trigger action. Production changes are opt-in, with safeguards for PodDisruptionBudgets and replica counts. Initial recommendations are listed within 48 hours of connecting a cluster. Pricing is available on request.
For and against
For
- Rightsizes pods from observed CPU and memory usage
- Consolidates workloads onto fewer nodes
- Supports AWS, GCP, Azure, and on-premises
- Keeps data within customer infrastructure
- Provides policy-based production controls
Against
- Self-hosted deployment is currently available
- Pricing is available only on request
- SaaS option is still in development
The verdict
CloudKeeper Kubernetes Tuner combines workload rightsizing, node consolidation, and cost visibility with configurable automation policies. Its self-hosted model and opt-in production changes fit teams that require infrastructure and approval control.
Who it suits
It suits teams seeking Kubernetes cost optimization while retaining control over automated changes. It is intended for organizations that need self-hosted deployment and policy controls around production environments.
On the record
- Access and collected data
- Read-only access is used for analysis and recommendations, and the product collects resource metrics and configuration metadata rather than application data, secrets, or payload content.cloudkeeper.com · read 9 Oct 2026
- Access and data
- The page says analysis uses read-only access and the self-hosted deployment keeps data within the customer’s environment.cloudkeeper.com · read 4 Oct 2026
- Availability
- The page invites teams to discuss early access and book a demo or free consultation.cloudkeeper.com · read 9 Oct 2026
- Cloud environments
- The page says it is built for AWS EKS, GCP, Azure, and on-premises environments.cloudkeeper.com · read 9 Oct 2026
- Cluster visibility
- It provides cluster cost and utilization visibility, identifies idle capacity, and tracks savings.cloudkeeper.com · read 4 Oct 2026
- Collected information
- The product collects resource metrics and configuration metadata, not application data, secrets, or payload content.cloudkeeper.com · read 4 Oct 2026
- Deployment and data
- The available deployment is self-hosted, and the page says no data leaves the customer’s infrastructure; a SaaS option is in development.cloudkeeper.com · read 9 Oct 2026
- Integrations
- It is designed to work alongside HPA, VPA, and Karpenter rather than replace them.cloudkeeper.com · read 9 Oct 2026
- Intended users
- The page describes the product for teams seeking Kubernetes cost optimization with control over which environments automate.cloudkeeper.com · read 4 Oct 2026
- Node bin-packing
- It consolidates workloads onto fewer nodes to reduce unused compute capacity.cloudkeeper.com · read 9 Oct 2026
- Node optimization
- Its bin-packing feature consolidates workloads onto fewer nodes.cloudkeeper.com · read 4 Oct 2026
- Pod rightsizing
- It can rightsize pods based on observed CPU and memory usage without manual YAML edits.cloudkeeper.com · read 9 Oct 2026
- Policy controls
- Teams can set which environments automate, which require approval, and what spend thresholds trigger action; production automation is opt-in.cloudkeeper.com · read 9 Oct 2026
- Production controls
- Automation is policy-based and production changes are opt-in; actions respect PodDisruptionBudgets and replica counts.cloudkeeper.com · read 4 Oct 2026
- Production safeguards
- The product starts in read-only mode and says its actions respect configured policies, PodDisruptionBudgets, and replica counts.cloudkeeper.com · read 9 Oct 2026
- Purpose
- CloudKeeper Kubernetes Tuner is a self-hosted, policy-driven Kubernetes cost optimization platform that automatically rightsizes workloads and reduces wasted compute.cloudkeeper.com · read 9 Oct 2026
- Setup
- The page says initial recommendations are available within 48 hours of connecting a cluster.cloudkeeper.com · read 4 Oct 2026
- Setup and recommendations
- The page says AWS EKS agent deployment takes under five minutes and initial recommendations are available within 48 hours of connecting a cluster.cloudkeeper.com · read 9 Oct 2026
