As a database administrator or data engineer working with Amazon Redshift, it’s crucial to manage resources effectively to handle different workloads. Amazon Redshift’s Workload Management (WLM) feature lets you define how queries are prioritized and how resources like CPU and memory are allocated. This guide will walk you through setting up WLM step by step, making it easy for newbies to get started.
What Is Workload Management (WLM)?
WLM allows Amazon Redshift to handle multiple concurrent queries by allocating resources to query queues. You can create custom queues, allocate memory, and set concurrency limits for specific workloads, ensuring that critical queries run efficiently even under heavy loads.