We are excited to announce that custom resource definitions (CRD) support with Azure Monitor managed service for Prometheus is now generally available.

Azure Monitor managed service for Prometheus is a component of Azure Monitor Metrics, allowing you to collect and analyze metrics at scale using a Prometheus-compatible monitoring solution, based on the Prometheus project from the Cloud Native Computing Foundation. This fully managed service enables using the Prometheus query language (PromQL) to analyze and alert on the performance of monitored infrastructure and workloads.

What’s new?

With this new update, customers can customize scraping targets using Custom Resources (Pod Monitors and Service Monitors), similar to the OSS Prometheus Operator. Enabling Managed Prometheus add-on in an AKS or ARC-enabled AKS will deploy the Pod and Service Monitor custom resource definitions to allow you to create your own custom resources. If you are already using Prometheus Service and Pod monitors to collect metrics from your workloads, you can simply change the apiVersion in the Service/Pod monitor definitions to use them with Azure Managed Prometheus.

Earlier, customers who did not have access to kube-system namespace were not able to customize metrics collection. With this update, customers can create custom resources to enable custom configuration of scrape jobs in any namespace. This is especially useful in a multitenancy scenario where customers are running workloads in different namespaces. 

Here is how a leading Public Sector Banking and Financial Services and Insurance (BFSI) company in India has used Service and Pod monitors custom resources to enable monitoring of GPU metrics with Azure Managed Prometheus, DCGM Exporter, and Azure Managed Grafana.

“Azure Monitor managed service for Prometheus provides a production-grade solution for monitoring without the hassle of installation and maintenance. By leveraging these managed services, we can focus on extracting insights from your metrics and logs rather than managing the underlying infrastructure.

The integration of essential GPU metrics—such as Framebuffer Memory Usage, GPU Utilization, Tensor Core Utilization, and SM Clock Frequencies—into Azure Managed Prometheus and Grafana enhances the visualization of actionable insights. This integration facilitates a comprehensive understanding of GPU consumption patterns, enabling more informed decisions regarding optimization and resource allocation.”

-A leading public sector BFSI company in India

Get started today!

To use CRD support with Azure Managed Prometheus, enable Managed Prometheus add-on on your AKS or Arc-enabled AKS cluster. This will automatically deploy the custom resource definitions (CRD) for service and pod monitors. To add Prometheus exporters to collect metrics from third-party workloads or other applications, and to see a list of workloads which have curated configurations and instructions, see Integrate common workloads with Azure Managed Prometheus – Azure Monitor | Microsoft Learn.

For more details refer to this article, or our documentation.

We would love to hear from you – Please share your feedback and suggestions in Azure Monitor · Community.

​Microsoft Tech Community – Latest Blogs –Read More