New Feature: Kubernetes Dimensions

New feature alert! Cloudthread is launching Kubernetes Dimensions. This means that the platform now supports Kubenetes cost visibility, so you can properly analyze the spend generated by your containerized applications in the cloud.

Cloudthread provides visibility into K8s costs by the standard dimensions such as Namespace, Cluster, Pod and Label, allocating cloud compute spend to the containers based on resource utilization data such as CPU and Memory.

Kubernetes (K8s) is the most popular container orchestration platform nowadays. Being open-source and very feature-reach, it is a default choice for containerized applications in both on-prem and cloud environments. However, in the latter case, running K8s containers, especially in a multi-tenant setting, can cause blind spots in your cost analysis.

Indeed, as the cloud provider bills you for the compute resources you run your containers on, but not for containers themselves (unless it is a native container service such as AWS ECS, which is different from K8s), you are not getting container cost allocation out of the box. And if you are having multiple workloads sharing cloud resources within the containerized environment (multi-tenancy), you cannot easily tell which portion of cloud costs should be attributed to which workload – a situation that can cause not only reporting mess, but also real cost issues coming from missed anomalies and engineering time wasted on difficult root cause analysis.

Cloudthread is solving this problem by adding Kubernetes Dimensions to the Cost Transparency part of the platform. Using Prometheus as a source of K8s monitoring data, we provide full visibility into K8s costs by the standard dimensions such as Namespace, Cluster, Pod and Label, allocating cloud compute spend to the containers based on resource utilization data such as CPU and Memory. You can learn more about Kubernetes Dimensions in our documentation.

The feature is now available for AWS – contact us to start using it as well as other engineering-focused cloud cost management capabilities Cloudthread platform provides.