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Hardik Italia

GPU/Neo Cloud Billing using Rafay’s Usage Metering APIs

Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption. Usage data becomes the foundation for billing, showback, or chargeback models that customers expect. The Rafay Platform provides usage metering APIs that can be easily integrated into a provider’s billing system. '

In this blog, we’ll walk through how to use these APIs with a sample Python script to generate detailed usage reports.

Usage Metering

Resize and Right Size Applications on Kubernetes

It is a well understood fact on Kubernetes that there is a significant amount of "wastage" of expensive cloud/infrastructure because of over provisioned applications. In this blog, we will look at how app developers and platform teams can save their organizations millions of dollars by right sizing their applications using a free, open-source tool called resize that we recently developed for our customers.

Important

Note that this is just one tool in a comprehensive Cost Control solution that Rafay provides our customers. Please contact us if you are interested in this.

CPU Request and Limit

Kubernetes Cluster Insights for Platform Teams

Many customers of the Rafay Kubernetes Operations Platform are "Platform Teams". In many cases, the first priority for these platform teams is to "take over and standardize" existing Kubernetes clusters in active use by application teams.

However, one of the challenges they run into with the take over process is nobody in the team has complete clarity into what resources already exist on the cluster and for what purpose. Identifying an accurate list manually can be extremely error prone and time consuming for both the platform teams as well as the various application teams resulting in delays in adoption and standardization efforts.