Monitoring and Troubleshooting Applications on Azure Kubernetes Service (AKS)

Running applications in production requires deep visibility to catch errors before they impact your users. This text-only course provides a clear, structured path to maintaining, debugging, and optimizing your containerized workloads on Azure Kubernetes Service (AKS). You will transition from understanding basic container deployments to confidently diagnosing failures, analyzing metrics, and securing network connectivity for modern cloud-native applications. What you'll learn: Understand core Kubernetes observability principles, including logs, metrics, and distributed tracing; Monitor application health and resource utilization using native AKS tools and Prometheus integrations; Debug container crashes, startup failures, and configuration errors systematically; Verify and troubleshoot network connectivity, service meshes, and ingress controllers; Analyze and optimize performance for resource-intensive workloads, including AI and machine learning microservices; Implement modern logging practices to capture actionable diagnostic data without degrading performance. Starting with fundamental Kubernetes architecture and monitoring concepts, the written lessons guide you through real-world debugging scenarios, network verification, and workload optimization. This course is designed for beginner cloud engineers, DevOps practitioners, and developers looking to master AKS operations, with no prior Kubernetes troubleshooting experience required. Start reading today to build reliable and resilient containerized applications on AKS.