Measuring Index Performance in Azure Cosmos DB for NoSQL

Slow queries and high Request Unit (RU) consumption can quickly degrade the performance and increase the cost of your cloud databases. Understanding how indexing works in Azure Cosmos DB for NoSQL is key to building fast, cost-effective applications. This text-based course guides you through the process of analyzing, measuring, and tuning indexing policies to achieve optimal database performance. You will learn to read performance metrics, evaluate query metrics, and adjust your indexes to balance write latency and read speed. What you'll learn: - Understand core indexing concepts and default policy behaviors in Azure Cosmos DB. - Measure the Request Unit (RU) charge for specific read, write, and query operations. - Evaluate query metrics and execution plans to identify performance bottlenecks. - Configure custom indexing policies, including single-field, composite, and excluded paths. - Analyze the trade-offs between indexing overhead and query performance. - Apply modern best practices for optimizing NoSQL queries using index metrics. You will start by mastering foundational NoSQL indexing concepts before moving on to hands-on analysis of query metrics and step-by-step optimization of index policies. This course is designed for beginner database administrators, cloud developers, and data engineers who are new to NoSQL performance tuning, requiring no prior experience with Azure Cosmos DB. Start reading today to unlock faster, more efficient database queries.