Measuring Azure Cosmos DB NoSQL Performance with Azure Monitor

Unoptimized database queries and unmonitored throughput can quickly lead to high cloud costs and slow application performance. Understanding how to observe and measure your database activity is essential for maintaining healthy, scalable cloud systems. This text-based course guides you through the foundational concepts of database observability for Azure Cosmos DB for NoSQL. You will learn to navigate the metrics that matter, configure diagnostic settings, and leverage Azure Monitor to keep your database running at peak efficiency. What you'll learn: - Understand core performance concepts, including Request Units (RUs) and throughput allocation. - Configure Azure Monitor to collect and store diagnostic logs and metrics. - Analyze database latency, storage capacity, and request distribution across partitions. - Identify and troubleshoot rate-limiting errors to optimize performance and costs. - Query diagnostic logs using basic Kusto Query Language (KQL) to pinpoint bottlenecks. The course begins with foundational concepts of NoSQL database performance and metric definitions. From there, you will progress through written step-by-step explanations on setting up Azure Monitor, interpreting metrics, and writing log queries to diagnose performance issues. This course is designed for beginner cloud administrators, developers, and database enthusiasts looking to build their monitoring skills, with no prior experience with Azure Monitor required. Start reading today to take control of your database performance and optimize your cloud resources.