Allocate Kubernetes costs accurately. Finally.
Shared clusters, multiple cost dimensions, idle capacity — OneLens handles the complexity so you can attribute costs fairly to teams, products, and environments.
Trusted by leading businesses
The cost allocation problem in Kubernetes
Kubernetes cost allocation is fundamentally harder than cloud cost allocation. Resources are shared across teams in the same cluster. Costs have multiple dimensions — requests, limits, actual usage, idle capacity. And the question of how to split shared and idle costs fairly has no default answer in any native tool.
OneLens was built specifically to solve this.
Namespace-based and label-based allocation
Different organizations structure ownership differently. Some map teams to namespaces. Others use labels to tag workloads by team, product, or environment. OneLens supports both — and lets you allocate costs using whichever model reflects your actual organizational structure. No workarounds, no forced conventions.
Idle and shared cost attribution
The hardest part of Kubernetes cost allocation isn't the workload cost — it's everything else. Idle capacity, shared services, cluster overhead. OneLens allocates these costs proportionally so that every dollar on your cloud bill is accounted for and attributed. No unallocated pool that grows quietly every month.
Network and data transfer cost allocation
Data transfer and inter-AZ networking costs are often buried in the cloud bill with no attribution to the workloads generating them. OneLens allocates network and data transfer costs to the teams and services responsible — so you can identify which workloads are driving cross-zone traffic, egress charges, and other networking costs that quietly accumulate.
Budgets tied to actual consumption
Once costs are accurately allocated, OneLens lets you set budgets by team, product, or environment — tied to real consumption data, not top-down estimates. Teams see their spend against their budget in real time, with alerts when they drift. This turns cost allocation from a reporting exercise into an accountability mechanism.
Works across EKS, AKS, and GKE
$26K Saved in 30 Days: No More Ghost Nodes
OneLens automatically detected 4 orphaned EKS nodes running at less than 1% CPU — completely invisible to our team. We terminated them within a sprint and saved over $2,200/month. That's $26,000 a year we were just burning. The platform didn't just flag the issue, it gave us the evidence, the ticket, and the recommended action. Zero manual investigation needed
FAQ
OneLens brings costs of all your cloud costs across multi-cloud(AWS, Azure, GCP, OCI), Kubernetes (EKS, AKS, GKE), AI, and your custom sourcesat one place. OneLens allows you to allocatecosts and set budgets across all these sources to your businessconstructs such as Business Units, Applications, Projects, Environments,etc. Then, you can setup customworkflows which deliver precise, timely, and relevant cost alerts andanomalies to teams and individuals who are accountable. No Cloud Native toolgives you deep, unified Kubernetes cost visibility – across requests,limits, usage, and nodes at on place:OneLens does.
Our goal is to bring all your Cloud, AI, and Kubernetescosts at one place; make it super easy for respective teams to understand andoptimize costs.Our Kubernetes Cost Visibility, Workflow Engine, and DeepInsights (storage, networking, data transfer) module stands out, solving thehardest and most time consuming problems of engineering and devops teams.
Most customers see their first cost and optimizationinsights within 36 hours of connecting cloud accounts.
OneLens integrates directly with your clusters to break downcosts by namespace, pod, deployment, service, and any custom labels you use. Wecalculate true cost including shared cluster resources (control plane, systempods), ingress/egress traffic, and persistent storage-then allocate everythingbased on actual resource consumption. For organizations with large Kubernetesspend, this transforms opaque infrastructure costs into team-levelaccountability.
OneLens works with all major Kubernetes distributionsincluding Amazon EKS, Azure AKS, and Google GKE. Our integration is read-onlyand doesn't affect cluster performance or require changes to your workloads.
Native Cloud tools do not collect adequate data for you tounderstand Kubernetes costs. We deploy an agent to bring all all that data togenerate required insights. You can learn all about it here. The cost is minimal and all details are here.
Yes. OneLens provides granular cost visibility at everylevel—cluster, namespace, deployment, pod, and even individual container. Youcan view costs by any Kubernetes label including team, application,environment, or customer ID. This enables precise cost allocation andchargeback for shared clusters.
OneLens gives you precise per-pod CPU/memory cost, whichallows you to allocate costs by namespaces, workloads or labels as per yourbusiness requirements. Further, OneLens automatically distributes shared cluster costs (idle costs, network costs) across pods. This ensures fair costdistribution and budgeting.
No. OneLens works with your existing Kubernetes setup and doesn't require changes to your deployment patterns, namespaces, or label structure.
OneLens natively supports AWS, Microsoft Azure, Google CloudPlatform and Oracle Cloud. We ingest billing data from all three providers andnormalize it into a unified view so you can manage multi-cloud costs in oneplatform without switching between native tools.
We have read-only access carefully designed to make sure weonly have billing, resource and usage data without getting access to any ofyour PII/customer data.
Yes, we do. While you can analyze costs for each Cloud, youcan also look at costs across cloud using FOCUS format. This allows you tocreate cost centers across cloud spends and setup budgets.
Yes. OneLens tracks costs for AI platform services like OpenAI, AWS Bedrock, Azure AI Foundry, Google Vertex AI across all cloud providers.We show you exactly what your AI experimentation and production workloads cost.We are adding more AI providers every week.
OneLens enables you to set budgets for AI projects, trackspending against forecasts, and get alerted when costs exceed thresholds.Combined with cost allocation, this gives you visibility into which AIexperiments or models are driving costs—helping you make informed decisionsabout resource allocation and project prioritization.
OneLens uses transparent usage-based pricing calculated asper your managed cloud spend (Excluding taxes!). We have tiers to ensure youcan grow during the subscription term and not be surprised by any hidden charges. You only pay based on the cloud infrastructure we help you optimizeand control.
OneLens is built fororganizations managing significant cloud infrastructure—typically $50K+ monthlycloud
Yes. We offer proof-of-concept engagements where you connect OneLens to your actual cloud data and validate the value before signing anannual agreement. Most POCs run for two weeks and include full platform accesswith implementation support.
We offer both annual agreements and flexible month-to-month arrangements on AWS Marketplace depending on your organization's procurement cycles and budget planning. Contact our team to discuss what works best foryour situation.
We are SOC 2 Type 2 Compliant and ISO 27001 certified. Please check out our trust center for moredetails.
OneLens primarily requiresread-only access to your billing and usage data. Further, the read-only accessis carefully designed to ensure that we don’t get access to data in yourlogs/buckets.
OneLens is built with enterprise security standardsincluding encryption at rest and in transit, SOC 2 compliance, role-based access controls, and regular security audits. Your cost data is isolated indedicated environments and never shared across customers.
OneLens stores datain secure, encrypted databases within your choice of AWS/GCP regions. We canaccommodate
Yes. OneLens includes granular role-based access controls,allowing you to restrict visibility by any org dimension through construct ofcost centers. Finance teams can see enterprise-wide data while individual teamssee only their allocated costs.
We strongly believe that FinOps is not about softwaresubscription. We assign a named, dedicated Cloud FinOps expert as your customersuccess and support point of contact. We work closely with finops, engineeringand business teams to ensure they are on top of costs, leaks and savings.
You can connect with our team directly on Slack, Teams andEmail. We have detailed documentation at https://docs.onelens.cloud
Initial cloud onboarding is quick – just takes 10-15 minutesto deploy our automated IaC scripts to give us access. Post that it will take 24-48 hours for the initial data ingestion before we can share insights on yourcloud infrastructure. Kubernetes onboarding takes a bit longer since it involves deploying agents, and waiting for enough data to generate insights.
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