Audyense
Kubecost
DevOps · www.kubecost.com
Overview
Kubecost (acquired by IBM/Apptio in 2024) is a Kubernetes cost monitoring and optimization platform that reconciles in-cluster resource usage with real cloud billing data to allocate spend by namespace, deployment, and team. It offers an always-free self-hosted tier alongside paid self-hosted and managed-cloud options for platform and DevOps teams running Kubernetes at scale.
The problem Kubecost solves
Platform and DevOps teams running Kubernetes across multiple clusters and clouds typically can't tell which namespace, team, or deployment is actually driving their cloud bill, because cluster resource usage and cloud billing data live in separate systems. Kubecost solves this by reconciling in-cluster cost allocation against real AWS, GCP, and Azure billing data, giving teams accurate showback and chargeback numbers and surfacing over-provisioned resources, though it stops at the cluster boundary and won't cover non-Kubernetes cloud assets like databases or serverless.
Decision context
Use these points to test whether the product fits your operation, not just whether it has a long feature list.
- Published starting price: Free. Confirm user, usage, and feature limits for the plan you would actually buy.
- Deployment: cloud, on_premise. Check security, data-residency, and access requirements for every team that will use it.
- Verified integrations include AWS, Google Cloud Platform, Microsoft Azure, Amazon EKS, Prometheus, Amazon Managed Service for Prometheus. Validate sync direction and plan limits for the connections that matter.
- This record was last checked on 7/26/2026; pricing and features can change.
How to evaluate Kubecost
A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.
Workflow fit
The record describes it as a fit for Platform/DevOps teams running Kubernetes at scale who need namespace or team-level showback and chargeback, Organizations running multi-cloud Kubernetes (EKS/AKS/GKE) wanting one reconciled cost view against real cloud bills, Teams wanting a free, self-hosted way to get started with Kubernetes cost visibility before committing budget. Check that this context matches the volume, roles, and processes your team needs it to support.
Pilot questions
- Can Kubecost complete the critical workflow without manual work outside the product?
- Do the recorded connections (AWS, Google Cloud Platform, Microsoft Azure, Amazon EKS) support the sync direction, permissions, and volume we need?
- What user, usage, storage, support, or security limits appear after the headline starting price?
Evidence and freshness
This record was checked on 7/26/2026. That date tells you when the record was reviewed, not that the vendor has left its terms unchanged since then.
Best for
- Platform/DevOps teams running Kubernetes at scale who need namespace or team-level showback and chargeback
- Organizations running multi-cloud Kubernetes (EKS/AKS/GKE) wanting one reconciled cost view against real cloud bills
- Teams wanting a free, self-hosted way to get started with Kubernetes cost visibility before committing budget
Not a fit if
- Organizations needing unified cost visibility across their entire cloud footprint, since Kubecost's native tracking is scoped to Kubernetes clusters only
- Teams wanting fully automated cost optimization out of the box, since recommendations require manual action to apply
Why it’s listed
- Fills a clear gap in the directory's DevOps category: no other listed tool addresses Kubernetes-specific cost allocation and FinOps
- Genuine always-free, self-hosted tier lowers the barrier to adoption before any budget commitment
- Reconciles in-cluster usage against real AWS/GCP/Azure billing data for accurate namespace/team-level showback and chargeback
Pricing
Foundations
FreeAlways-free self-hosted tier for individuals, small teams, or a quick snapshot of current Kubernetes spend.
- Unlimited clusters up to 250 cores
- 15-day metric retention
- Unlimited users
- Multi-cloud (EKS/AKS/GKE/on-prem)
- Cloud billing reconciliation
- Cost optimization insights
Enterprise Self-hosted
Custom pricingComprehensive Kubernetes cost monitoring for teams running at scale, self-hosted.
- Unified multi-cluster view
- Unlimited clusters at any scale
- Unlimited metric retention
- RBAC and enterprise integrations
- Enhanced GPU optimization
- Dedicated support
Enterprise Cloud
Custom pricingManaged SaaS version where Kubecost hosts the infrastructure and agents run locally on your clusters.
- Kubecost-managed updates and configuration
- Dedicated domain
- HA/DR
- Custom IdP support
- Automated scaling
Features
Integrations
Pros & cons
Pros
- Granular, customizable cost allocation by namespace/deployment/service enabling accurate showback and chargeback
- Reconciles in-cluster costs directly with real AWS, GCP, and Azure billing data for accuracy
- Multi-cluster, multi-cloud cost visibility in a single view
- Free, self-hosted entry point lowers the barrier to adoption
Cons
- Only tracks costs within Kubernetes clusters, with no native monitoring of external cloud assets like databases or serverless
- Cost data granularity is limited to the daily level, limiting visibility into short-term spikes
- Complex setup and scaling reported by some users, with documentation seen as thin for advanced self-hosted use cases
- Optimization recommendations are not automated; teams must manually act on them
What we found
Review coverage is thin: TrustRadius (8.1/10, 7 reviews) is the most substantive source, G2 (5.0/5) has only 2 reviews, and Capterra lists the product with no reviews yet. Reviewers consistently value the granular, reconciled cost allocation but note it only tracks spend inside Kubernetes clusters and requires manual follow-up to act on savings.
Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.
User reviews
Written by Audyense accounts · moderated before publishing
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