Monitoring and Troubleshooting Azure Cosmos DB for NoSQL

Managing a cloud database requires deep visibility into its performance, throughput, and error rates. Without proper observability, a sudden spike in latency or unexpected billing can disrupt your application and budget. This written course equips you with the fundamental skills to observe, diagnose, and optimize your Azure Cosmos DB for NoSQL databases. You will transition from guessing why a query is slow to confidently locating bottlenecks, resolving partition key issues, and configuring proactive alerts. What you'll learn: - Understand foundational database metrics, including Request Units (RUs), latency, and HTTP status codes. - Configure diagnostic logging and integrate telemetry with cloud observability tools. - Identify and resolve common NoSQL exceptions, rate-limiting errors, and transient faults. - Analyze query performance to optimize indexing and reduce overall resource consumption. - Monitor partition key distribution to prevent hot partitions and uneven data storage. - Apply modern cloud observability patterns to trace end-to-end database transactions. You will begin by learning core database concepts and terminology, then progress to reading and analyzing diagnostic logs, and finally practice troubleshooting real-world scenarios through detailed text-based walkthroughs. This text-only course is designed for beginner cloud administrators, backend developers, and database enthusiasts who want to master Cosmos DB maintenance without needing prior cloud monitoring experience. Start reading today to build reliable, high-performing NoSQL database systems.