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Reduce Kubernetes Costs. Automatically. Continuously

CloudKeeper Kubernetes Tuner is a self-hosted, policy-driven Kubernetes cost optimization platform that automatically rightsizes 
workloads, eliminates wasted compute, and keeps production always under your control.

  • Cloud Engineers

    Backed by 50+ Kubernetes-certified 
    cloud engineers

  • Self Hosted

    Self-hosted — no data leaves 
    your infrastructure

  • Policy Automation

    Policy-based automation - 
    always opt-in

Schedule a Demo 

Here's where your Kubernetes money is actually going

Every one of these is fixable — automatically, within policies you control.

  • Overprovisioned 
    Workloads

    01

    Problem

    Pods request far more CPU and memory than they actually consume — you pay for the reservation, not the usage.

    Solution

    Auto-rightsize every pod based on real observed usage. No manual YAML edits.

  • Underutilized 
    Nodes

    02

    Problem

    Poorly packed nodes leave large gaps of unused compute — you're paying for the whole node.

    Solution

    Intelligent bin-packing consolidates workloads onto fewer nodes automatically.

  • Risky Optimization 
    Changes

    03

    Problem

    Teams won't automate Kubernetes cost optimization if it risks production stability.

    Solution

    Policy-based rules — dev/QA automated, production always opt-in.

  • Idle & Zombie 
    Resources

    04

    Problem

    Most Kubernetes cost optimization tools require SaaS access or outbound permissions — a non-starter for security-conscious teams.

    Solution

    Fully self-hosted. No external permissions. No data leaves your perimeter.

  • Fragmented Cluster 
    Utilization

    05

    Problem

    Engineers waste hours adjusting resource configs that go stale within days as workloads change.

    Solution

    Continuous automated optimization runs in the background — your team focuses on building, not tuning.

Full Visibility. Automated Optimization. Measurable Savings

From insight to action — everything runs continuously inside your environment

Multi-cloud ready
Every pod. Every node. Every dollar — optimized across AWS, GCP, Azure and on-prem.
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Manual Optimization vs CloudKeeper Kubernetes Tuner
Metric
true Execution
true Engineer Time
true Cost Visibility
true Provisioning
true Reliability
true Environment
Without Tuner

Suggests optimizations, leaves execution to your team

Hours spent hand-tuning YAML configs that go stale in days

Cloud bills spike unpredictably at month-end

Overprovisioning "just in case" becomes a permanent default

OOM kills and throttling hit users before your team notices

Requires SaaS access or external permissions

With Kubernetes Tuner

Executes optimization automatically & continuously

Engineers focus on product, not pod config

Savings visible on day one — before enabling automation

Every cluster runs lean without sacrificing headroom or SLAs

OOM kills and throttling eliminated — right-sized from the start

Runs fully inside your environment — no data leaves

Why choose CloudKeeper Tuner for Kubernetes Cost Optimization?

  • Cloud Engineers

    Self-hosted by design

    Runs in your environment. Nothing leaves 
    your perimeter.

  • Self Hosted

    Policy-based — not just automated

    Fully automated in dev/QA, always opt-in in 
    production. You define the rules per environment.

  • Policy Automation

    All three layers are covered

    Pod rightsizing, node bin-packing, and 
    cluster-level visibility — in one platform.

  • Policy Automation

    Backed by CloudKeeper's expertise

    Built by the team behind $200M in cloud savings 
    across 400+ companies.

  • Policy Automation

    Built for Multi-Cloud

    Launches on AWS EKS, GCP, Azure, and 
    on-prem from day one

  • Policy Automation

    Complements your existing stack

    Works alongside HPA, VPA, and Karpenter — 
    enhancing them, not replacing them.

How to Get Onboarded

  • Cloud Engineers

    Connect

    Deploy the self-hosted agent with read-only access. Works with AWS EKS — under 5 minutes.

  • Self Hosted

    Analyse

    Maps your cluster, nodes, and workloads. Surfaces exactly where waste occurs — with dollar values.

  • Policy Automation

    Configure Policies

    Define which environments automate fully, which need approval, and what spend thresholds trigger action.

  • Policy Automation

    Optimise

    Rightsizing and bin-packing run continuously within your policies. Savings compound automatically.

Turn Kubernetes Waste into Measurable Savings
Talk to us about early access. Let's show you what your clusters are wasting.
Book a Free Consultation  

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Frequently Asked Questions

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    1.Is CloudKeeper Kubernetes Tuner a SaaS product?     Q1. Is CloudKeeper Kubernetes Tuner a SaaS product?

    CloudKeeper Kubernetes Tuner is available as a fully self-hosted deployment — it runs entirely inside your own environment with no external permissions required and no data leaving your infrastructure. A SaaS option is currently in development and coming soon. Talk to us to find out which deployment model is right for your team.

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    2.Does it need write access to my cluster?     Q2. Does it need write access to my cluster?

    Read-only access is used for analysis and recommendations. Automated optimization only runs within the policies you configure — production is always opt-in.

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    3.Is CloudKeeper Kubernetes Tuner safe to run in production?     Q3. Is CloudKeeper Kubernetes Tuner safe to run in production?

    Yes. Kubernetes Tuner starts in read-only mode by default — you see everything, it changes nothing. Automation is opt-in, and every action respects your existing policies, PodDisruptionBudgets, and replica counts. You stay in control at every step.

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    4.Do you store or access our workload data?     Q4. Do you store or access our workload data?

    Kubernetes Tuner collects resource metrics and configuration metadata — not application data, secrets, or payload content. Our self-hosted option keeps everything within your VPC if that's a requirement.

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    5.Will it conflict with HPA, VPA, or Karpenter?     Q5. Will it conflict with HPA, VPA, or Karpenter?

    No. Kubernetes Tuner is designed to work alongside native Kubernetes autoscalers, not replace them. It enhances their decisions with richer workload data and fills the gaps they leave behind.

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    6.How is CloudKeeper Kubernetes Tuner different from Competitors?     Q6. How is CloudKeeper Kubernetes Tuner different from Competitors?

    Those are SaaS platforms that require external access. CloudKeeper Kubernetes Tuner is self-hosted, covers all three layers — cluster, nodes, and workloads — and uses policy-based rules so you can automate selectively, not all-or-nothing.

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    7.Will it affect my production workloads?     Q7. Will it affect my production workloads?

    No, unless you explicitly configure it to. Production automation is always opt-in via policy. You define which environments automate and under what conditions.

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    8.How long does setup take?     Q8. How long does setup take?

    The agent deploys into your environment quickly. Initial recommendations are available within 48 hours of connecting your cluster.

Stop paying for cloud tools. Start paying for outcomes.

Get Started with CloudKeeper