Your SRE team manages an AKS cluster. They want node and pod performance metrics and container logs in a Log Analytics workspace. They also want to scrape custom Prometheus metrics from applications without running their own Prometheus, and visualize them in Grafana with Azure AD authentication. You want the least operational overhead. Which two actions should you take?
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Correct answer: Enable Azure Monitor Container insights for the AKS cluster to collect node/pod performance and container logs., Enable the Azure Monitor managed service for Prometheus scraping and provision Azure Managed Grafana linked to the same workspace; annotate workloads for scraping to collect custom metrics..
Why this is the answer
Enabling Azure Monitor Container insights for the AKS cluster is correct because it provides out-of-the-box collection of node and pod performance metrics, as well as container logs, directly into a Log Analytics workspace with minimal configuration, fulfilling the core monitoring requirement. Enabling the Azure Monitor managed service for Prometheus scraping and provisioning Azure Managed Grafana is correct because it allows scraping custom Prometheus metrics from applications without self-managing Prometheus, and provides a fully managed Grafana instance with Azure AD integration for visualization, directly addressing the custom metrics and visualization requirements with the least operational overhead. Deploying open-source Prometheus and Grafana via Helm increases operational overhead. Relying only on Azure Monitor platform metrics would not provide container logs or allow for custom Prometheus metric scraping.
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