This Azure monitoring tutorial explains a six-level approach for DevOps engineers: network components, nodes/node pools, control plane, workloads, application performance, and other Azure services. Recommended tools include Azure Monitor (for most levels), Prometheus (nodes), and Network Watcher. The video emphasizes holistic monitoring beyond CPU/memory for optimal user experience. This segment clarifies a prevalent misunderstanding about DevOps monitoring, dispelling the notion that it solely involves CPU and memory checks. It highlights the broader scope of monitoring, emphasizing the need to monitor all components involved in application access for effective system building. This segment uses a fictional company, Example.com, to illustrate a real-world scenario of an organization fully utilizing Azure services. It details their infrastructure, including blob storage, file services, and a Kubernetes cluster deployed via AKS, setting the stage for a comprehensive explanation of monitoring components.This segment breaks down the various components involved in a user accessing an application deployed on an Azure Kubernetes Service (AKS) cluster. It details the journey of a request, from the virtual network and its security components to the Kubernetes control plane and data plane, emphasizing the interconnectedness of these elements. This segment introduces a six-level framework for effective monitoring, starting with network traffic and components. It explains the importance of monitoring network health for user experience and then moves on to monitoring nodes and node pools within a Kubernetes cluster, highlighting the need to track resource utilization to prevent performance bottlenecks. This segment continues the explanation of the six-level monitoring framework, covering the control plane components (API server, etcd), workload components (pods, containers), application performance monitoring (APM), and other Azure services. It emphasizes the importance of APM even when other components are functioning correctly, ensuring a holistic approach to monitoring.