What you'll learn

High-traffic database environments suffer from lock contention, memory pressure, and scaling limitations that degrade application performance. In this course, Concurrency, Locking, and Resource Optimization, you'll gain the ability to diagnose and resolve concurrency issues, tune engine resources, and plan scalable database architectures. First, you'll explore how database engines manage concurrency through record multi-versioning and isolation levels, and how to identify and resolve deadlocks and lock contention. Next, you'll discover how to tune memory allocation for buffer pools and work areas, manage connection pooling, and optimize checkpoint and write-ahead logging configuration. Finally, you'll learn how to architect for scalability using table partitioning, read replicas, and distributed SQL patterns. When you're finished with this course, you'll have the skills and knowledge of database concurrency, resource tuning, and scalability needed to keep high-traffic production databases responsive and reliable.