Atmosly Kubernetes Cost Optimization

Atmosly Kubernetes Cost Optimization is a cloud-spend management tool for Kubernetes teams running Amazon EKS, Google GKE, or Azure AKS. It is best suited to organizations that already have Prometheus and want cost recommendations to pass through human review. Its free tier is useful for a narrow assessment, but meaningful ongoing optimization requires a paid plan.

Overview

Atmosly puts account, cluster, namespace, and service costs into one normalized dashboard, with team showback views to help assign shared spend. It also identifies idle workloads and orphaned volumes, forecasts monthly costs, and surfaces reserved-instance and savings-plan opportunities ranked by monthly savings. That combination makes it more than a reporting dashboard: it connects allocation and planning with specific savings opportunities.

Right-sizing recommendations use workload p95 usage over time and include estimated dollar impact. Changes can be proposed through reviewable pull requests, while a connected cluster can be assessed with read-only access. This approval path is a meaningful safeguard for teams that do not want automated changes made without review. The trade-off is a setup dependency: cost telemetry requires an existing in-cluster Prometheus instance, with kube-prometheus-stack supported out of the box.

Teams can connect with a Helm-installed read-only agent or direct cloud integration. Atmosly says customer data never leaves the cluster and identifies itself as ISO 27001 certified; SOC 2 Type II is in progress. Its engineering hub is in Gurugram, Haryana, India.

Key features

• Cost allocation and showback: Automatic allocation down to namespace and service, alongside account and cluster views, gives teams a practical basis for assigning shared costs.
• Usage-based recommendations: p95-based right-sizing suggestions with estimated dollar impact help teams prioritize changes, while pull requests preserve an approval step.
• Budget and commitment planning: Daily budget alerts, monthly forecasts, and ranked reserved-instance and savings-plan opportunities provide forward-looking controls as well as cost visibility.
• Idle-resource detection: Finding idle workloads and orphaned volumes can expose waste beyond oversized active workloads.

Pricing

The Personal plan is free forever at $0. It covers one cluster, one cloud account, one seat, one project, two environments, and 10 applications, with cost recommendations in view-only mode and seven-day history. That is enough for one engineer to inspect a small setup, but the view-only recommendations prevent applying savings changes through the plan.

Starter is $399 a month, billed annually at $3,990/yr with two months free; the launch price is $199/mo for your first year. It allows two clusters, two cloud accounts, 25 seats, 100 AI actions per month, manual application of recommendations, and 30-day retention. This is the practical entry point for a team that wants to act on recommendations, though it has little cluster headroom and optimization remains manual.

Growth is $1,299 a month, billed annually at $12,990/yr with two months free; the launch price is $799/mo for your first year. It expands the allowance to 20 clusters, 10 cloud accounts, 75 seats, 750 AI actions per month, automated right-sizing, full cloud FinOps, and 180-day retention. It fits larger environments that need automation and longer history, but the price is a substantial step up from Starter. Team signups receive 30 days of Growth features, and self-serve signup does not require a credit card.

Enterprise has custom pricing with negotiated terms, unlimited clusters, accounts, seats, and AI actions, plus a dedicated CSM, SLA, and optional managed services. It is the fit for organizations that need those capacity and support terms. Starter includes email support; Growth adds priority and Slack support. The pricing model is freemium, with paid plans starting at $399/mo.

Platforms

Atmosly supports Linux, self-hosted, and web environments. Its cost optimization product covers EKS, GKE, and AKS. A self-hosted control plane is available on the Platform tier, so self-hosting is not a stated capability of every plan.

Who it's for

Atmosly is a strong fit for Kubernetes teams managing spend across the three supported clouds, especially where showback, budget alerts, and approval-based recommendations matter. The Personal plan suits a single engineer checking one cluster; Starter is more suitable for teams ready to apply suggestions manually; Growth makes more sense when cluster scale, automated right-sizing, and extended retention justify the higher commitment. Teams without an existing Prometheus instance should account for that prerequisite before choosing it.

Pros and cons

• Pros: Allocation spans account to service, with namespace-level granularity and team showback, making shared costs easier to assign.
• Pros: Recommendations pair p95 usage with estimated dollar impact and an approval-based pull-request path, connecting analysis to controlled action.
• Pros: Daily alerts, forecasts, idle-resource detection, and ranked commitment opportunities cover several distinct ways to manage spend.
• Cons: Prometheus is required for cost telemetry, which adds a prerequisite for teams that do not already run it.
• Cons: The free plan is view-only and limited to one engineer and one cluster, so it is an assessment tier rather than an operating plan for a team.
• Cons: Starter caps teams at two clusters and 100 AI actions monthly, while automated right-sizing starts with the much pricier Growth plan.

Alternatives

Kubernetes Cost Management Software is the broader category page for comparing tools. Consider KubeAdapt if its free allowance of the first 100 vCPU across an account is a better fit for an initial cost-management setup. PerfectScale offers a free allowance up to 200 vCPU per month with unlimited clusters, nodes, and pods, making it worth considering when those free capacity limits matter more than Atmosly's view-only one-cluster tier.

Krossboard is another freemium Kubernetes cost-management option. KubeLedger is free, self-hosted, and provides source code for internal use, but cannot be sold as a managed service. Podledger offers a forever-free, self-hosted community plan for a single cloud with basic dashboards and pod-level cost visibility. Klustercost is a free, open-source option under GPL-3.0.

Flexera One IT Asset Management is a paid alternative with a free plan. IBM Kubecost offers OpenCost with unlimited clusters and cores, as well as a free Kubecost plan with stated core and spend limits.

Verdict

Choose Atmosly if your team needs cross-cloud Kubernetes cost allocation, forecasts, and usage-based recommendations that remain subject to approval. The combination of showback and controlled right-sizing is its clearest advantage. Look elsewhere if Prometheus is not part of your setup, or if you need automated optimization without moving to Growth.