Atmosly Kubernetes Cost Optimization

Atmosly Kubernetes Cost Optimization helps Kubernetes teams connect cloud spend to workloads and teams, then turn usage signals into proposed changes. It is best suited to organizations running EKS, GKE, or AKS that already collect Prometheus telemetry. The free tier is a narrow, view-only assessment; active optimization starts at $399 a month on an annual commitment.

Overview

Atmosly brings Amazon EKS, Google GKE, and Azure AKS into one normalized cost dashboard. Automatic allocation by account, cluster, namespace, and service, with team showback dashboards, gives platform and finance teams a way to trace shared bills to the workloads and groups behind them. That breadth is useful across cloud environments, though it depends on an existing in-cluster Prometheus instance; kube-prometheus-stack works out of the box.

Recommendations use workload p95 usage over time and include estimated dollar impact. Teams can assess a connected cluster with read-only access, while changes require explicit approval through reviewable pull requests. That is a practical safeguard for teams that want to review proposed changes rather than allow unattended adjustments. Connections use either a Helm-installed read-only agent or direct cloud integration.

Key features

Cost allocation: Account-, cluster-, namespace-, and service-level allocation plus team showback helps identify who is driving spend, rather than leaving teams with a single cloud bill.

Right-sizing: P95-based recommendations with estimated savings give teams a way to prioritize oversized workloads. Manual application on Starter is a useful control, while Growth is required for automated right-sizing.

Budgets and forecasting: Daily budget alerts and monthly forecasts help teams watch for overruns before they become month-end surprises.

Idle resources: Detection of idle workloads and orphaned volumes targets spend that can be difficult to spot through allocation alone.

Commitment planning: Reserved-instance and savings-plan opportunities ranked by monthly savings can help teams weigh longer-term commitments against their usage.

Pricing

The Personal plan is free forever, but its one-engineer, one-cluster scope and view-only recommendations make it a trial of the workflow, not a route to applying savings. It includes one cloud account, one seat, one project, two environments, ten applications, and seven-day history.

Starter costs $399 a month, billed annually at $3,990/yr, with two months free; the launch price is $199/mo for your first year. It covers two clusters, two cloud accounts, 25 seats, 100 AI actions per month, manual recommendation application, and 30-day retention. This is the entry point for teams that need to act on recommendations, but its cluster and action caps constrain larger or more active deployments.

Growth costs $1,299 a month, billed annually at $12,990/yr, with two months free; the launch price is $799/mo for your first year. Its 20 clusters, ten cloud accounts, 75 seats, 750 AI actions per month, automated right-sizing, full cloud FinOps, and 180-day retention make it the more suitable tier for broad deployments that need automation and longer history. Enterprise has custom pricing and terms, with unlimited clusters, accounts, seats, and AI actions, plus a dedicated CSM, SLA, and optional managed services.

Team signups receive 30 days of Growth features, and self-serve signup requires no credit card. Starter includes email support; Growth adds priority and Slack support. The product's cost data retention is 30 days, while plan-specific retention is seven days on Personal, 30 days on Starter, and 180 days on Growth.

Platforms

Atmosly supports Linux, self-hosted, and web environments. The cost product covers EKS, GKE, and AKS, but requires Prometheus telemetry in the cluster. A self-hosted control plane is available on the Platform tier.

Who it's for

Atmosly fits platform engineering and FinOps teams that need workload-level cost attribution across supported Kubernetes clouds, especially when they already run Prometheus and want a review step before changes. Personal suits one engineer exploring costs on a single cluster. Teams needing active recommendations should budget for Starter or Growth; those requiring more scale, longer retention, automated adjustments, or dedicated support have clearer reasons to consider Growth or Enterprise.

It is a weaker fit for a team seeking cost telemetry without a Prometheus prerequisite, or one that expects the free plan to apply changes. The free tier's single seat and cluster, seven-day history, and view-only recommendations leave little room for collaborative, ongoing optimization.

Pros and cons

Pro: Allocation down to namespace and service, plus team showback, makes shared spend more accountable.

Pro: Recommendations combine p95 usage and estimated dollar impact, and approvals through pull requests keep workload changes reviewable.

Pro: EKS, GKE, and AKS appear in one normalized dashboard, useful for teams operating across those clouds.

Con: An existing in-cluster Prometheus instance is required, so teams without it must address that dependency first.

Con: Personal is view-only and limited to one engineer and one cluster, so it cannot serve as a free collaborative optimization tier.

Con: Starter's annual billing and capped clusters and AI actions may be restrictive for teams that need broader scale or automated right-sizing.

Alternatives

For a broader comparison, see Kubernetes Cost Management Software.

KubeAdapt is worth considering if its free allowance of the first 100 vCPU across an account and all features better matches a usage-based evaluation. PerfectScale may suit teams whose free tier of up to 200 vCPU per month and unlimited clusters, nodes, and pods is the more important constraint. CloudBolt offers a free core CMP tier up to 100 resources, making it a different option when those core capabilities are the priority.

Krossboard is another freemium Kubernetes cost-management option. KubeLedger is a free self-hosted choice for internal use, but its source code cannot be sold as a managed service. OpenCost is free and open source under Apache 2.0, and requires Kubernetes and Prometheus. Skuber+ offers a 30-day trial with full access, one cluster, Smart Scaling, and Spot Instance. Flexera One IT Asset Management is a paid alternative with pricing by demo.

Verdict

Choose Atmosly if your team already runs Prometheus and needs cost allocation, practical workload recommendations, and approval-controlled changes across EKS, GKE, or AKS. Its strongest case is the combination of team-level cost attribution and reviewable optimization. Look elsewhere if Prometheus is a blocker, or if you need meaningful multi-user optimization without moving beyond the tightly capped, view-only free plan.