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Kubernetes
Cost Management

Monitor costs at the cluster, node, and workload level.

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Cost vs Baseline
18.6%
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Cost Overview

Multi-cluster/multi-cloud monitoring

Track costs across AWS, GCP, Azure, and on-prem Kubernetes from a single dashboard. DevZero consolidates spend data across environments, giving you a clear, unified view - no more switching consoles or manual billing work.

Dashboard showing cost savings with 52.39% saved, $10,658 monthly, and $127,896 annual savings, alongside a list of resource usages and providers with ratings from poor to fair.
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Compare spending patterns across clusters and cloud providers
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Identify which environments drive the highest costs
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Track cost trends and anomalies across your entire infrastructure
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Drill down from organization-level spend to individual workload costs
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Visibility

Resource Utilization

DevZero shows the gap between what you provision, request, and actually use, making waste visible. Most clusters run at just 10–20% utilization. Know your numbers. Take action.

Dashboard showing total CPU capacity 23.28 cores with 89.69% unutilized, total memory 66.98 GiBs with 70.35% unutilized, total GPU capacity 0 devices with 100% unutilized, and overall underutilization at 89.69%, most underutilized node ip-10-115-27-64.us-west.
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CPU Monitoring

Monitor usage, spot overprovisioning, track trends, and get alerts.

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Memory Tracking

See real vs. allocated usage, spot inefficiencies, and avoid OOM issues.

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GPU Utilization

Monitor workload usage, find idle GPUs, and compare job efficiency.

Cost attribution

Workload-level costs

Get detailed cost breakdowns by deployment, workload, or custom group. Track spend by namespace or label. Identify resource-heavy services and optimize with data.

Table showing workloads with CPU and memory requests, total cost, and status buttons for five services: Keywest, ETL, Event_Processor, Messaging_sev, and Monitoring.
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Real-time cost tracking with historical trends
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Identify cost drivers across namespaces
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Compare workload efficiency across teams
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Catch anomalies before they impact your bill
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Allocation Groups

Department level cost

Create allocation groups that mirror your organizational structure and track costs by team, product, or environment. Tag once and DevZero automatically manages shared, multi-tenant clusters to ensure accurate cost attribution.

Stacked bar chart showing daily cost chargebacks from October 1 to 10 with categories Control_plain, AI_ML, Data_plain, Tesing, and Eng. Tooltip for October 3 displays detailed category costs and total of $281,720.
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Group workloads by team, project, or unit
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Enable chargebacks with accurate cost attribution
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Track budgets and spending by department
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Create reports for finance and leadership

Kubernetes
Cost - Free Assessment

Get a free self-serve cost assessment of your cluster. Cost per node-group and workload. Find which workloads are more expensive and wasteful and how much you can save.

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Frequently asked questions

How quickly can I set up DevZero on my Kubernetes cluster?

DevZero installs in under 30 seconds with a single command. Our lightweight operator immediately begins collecting telemetry data from your cluster, giving you instant visibility into resource usage and optimization opportunities. No complex configuration or infrastructure changes are required.

What is DevZero and how does it optimize Kubernetes costs?

DevZero is a Kubernetes cost optimization platform that uses AI-driven automation to reduce cloud spending by 40-70%. It continuously rightsizes workloads, optimizes nodes, and intelligently selects instance types, all without requiring any changes to your applications or restarting your services.

Which cloud providers does DevZero support?

DevZero supports Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), Oracle’s cloud platform (OCI), as well as on-prem Kubernetes implementations.

How is this different from cloud provider cost tools?

AWS Cost Explorer, Azure Cost Management, and GCP's billing tools show node level costs. DevZero shows Kubernetes native costs by pod, deployment, namespace, and workload. You get the granularity needed for containerized environments.

How does DevZero differ from Karpenter and other Kubernetes autoscalers?

DevZero complements rather than replaces autoscalers like Karpenter and Cluster Autoscaler. While those tools focus on node-level scaling, DevZero operates at three levels: cluster, node, and individual workload optimization. Many DevZero customers actually use DevZero alongside Karpenter or KEDA. Our casse studies show an 80% reduction in cost even for customers using these autoscalers.

Is DevZero secure? What data does it collect?

DevZero operators only gather resource utilization data, specifically compute, memory and network, as well as workload names and type. We do not have access to logs or application specific data. Moreover, our cost monitoring operator is read-only.

Can DevZero optimize GPU workloads and AI/ML infrastructure?

Absolutely. DevZero is specifically designed to handle GPU-intensive workloads, ensuring even your most demanding AI jobs stay live, adaptive, and continuously available through live migration technology. Unlike basic autoscalers, DevZero provides specialized optimization for GPU workloads including intelligent scheduling, utilization monitoring, and can achieve 40-70% cost reduction specifically for GPU infrastructure. The platform dynamically adjusts GPU allocations based on actual usage patterns, preventing the common problem of provisioning 8-12 GPUs when actual utilization is less than one GPU.