Kubernetes (K8S) operator

CloudHiro's Kubernetes (K8S) operator provides advanced cost monitoring and cluster optimization. It enables cost attribution and offers insights into cluster expenses while optimizing resource allocation by right-sizing pods (optional, disabled by default). Built with top-tier security standards, it supports all Kubernetes platforms, including EKS, AKS, GKE, and OpenShift.

How does it work?

The operator utilizes data and metrics published by Kubernetes API and metrics API.
Aggregate metadata is sent back to CloudHiro, processed against billing data, and results are shown in our Visualizer.
CPU, GPU, Memory, Storage, and Network data are collected, normalized, and projected onto cost data.
Cost can be attributed to different vectors like namespace, pod name, or tag. A Variety of cost breakdowns are displayed in the visualizer dashboards to provide end-to-end cost visibility.
Visualization supports multiple clusters and namespaces with filters and drill-downs.

If enabled, the operator will adjust the request and limit for each pod based on its past usage pattern.
By default, the operator will only monitor the cluster
Enabling the optimization will improve cluster performance and reduce cost.

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How to use CloudHiro's K8S operatorInstallation is as simple as deploying a Helm chart. Actually, it is just deploying A Helm chart. Before you do that, you will need an API key, which you can easily get from our console.New customersFirst, please register to CloudHiro.Then, please follow the guide for existing customers.Existing customersPlease log in to your CloudHiro account and follow the guide under optimize->K8S operator.