See inside Kubernetes
Track container costs across EKS, AKS, GKE, and on-prem clusters. Attribute spend to teams, namespaces, and workloads — no matter where they run.
The Challenge
Kubernetes abstracts away infrastructure — which is great for developers but terrible for cost visibility. Pods consume CPU, memory, storage, and network, but the bills show up as generic compute charges.
With workloads spread across multiple clouds and on-prem datacenters, tracking the true cost of each namespace, deployment, or service becomes nearly impossible. Teams deploy without understanding the cost implications.
Reduce breaks through this abstraction. We correlate pod-level resource consumption with actual infrastructure costs, giving you visibility into what each container workload really costs.
Cost Attribution
Namespaces, labels, and annotations are your cost allocation tools. Reduce reads your existing Kubernetes metadata and maps costs to teams, projects, and applications automatically.
See which namespaces are driving cluster costs. Identify over-provisioned deployments. Track shared service costs across multiple consumers.
No agents required. No sidecars. We integrate with your existing metrics and combine them with cloud billing data to calculate true container costs.
Capabilities
Everything you need to understand and optimize Kubernetes spending
Break down cluster costs by namespace. See exactly what each team or application is spending on compute, storage, and network.
Aggregate costs across all your Kubernetes clusters — EKS, AKS, GKE, and on-prem — in a single unified dashboard.
Use your existing labels and annotations for cost allocation. app, team, environment — any label becomes a cost dimension.
Identify over-provisioned pods and under-utilized nodes. Get recommendations to optimize resource requests and limits.
Coverage
Full EKS integration with EC2 and Fargate cost correlation. See the true cost of each pod including underlying compute.
Complete AKS visibility including virtual node scaling and Azure CNI networking costs.
GKE Autopilot and Standard mode support with native BigQuery export integration.
Track costs for self-managed Kubernetes clusters in your datacenter alongside cloud deployments.
Use Cases
Allocate shared cluster costs back to the teams that use them. Use namespace labels to automatically generate monthly chargeback reports.
Understand the cost impact before moving workloads between clusters or from on-prem to cloud. Model scenarios with real cost data.
Compare costs across environments. Ensure development clusters aren't accidentally running production-sized workloads.
Find pods with low utilization and namespaces that haven't been used in weeks. Reclaim wasted capacity automatically.
Start free. Get control back today.
Get Started FreeNo credit card required • Setup in under 5 minutes