As applications scale in size and sophistication, it becomes increasingly challenging for Amazon Aurora customers to detect and resolve relational database performance bottlenecks and other operational issues quickly. Today, customers have access to Amazon DevOps Guru for RDS, which is a fully-managed ML powered service that detects operational and performance related issues for all Amazon Aurora engines and dozens of other resource types. However, determining the exact cause of a relational database performance issue and how to fix it can be complicated and time consuming. In this session, we will look at a new capability for Aurora through which customers can detect and diagnose performance issues and get recommendations on how to fix them. We will also use this time to do a demo of the new functionality and talk about how it works.
Learning Objectives:
* Objective 1: Understand the benefits of leveraging Amazon DevOps Guru for RDS.
* Objective 2: Learn what metrics DevOps Guru measures and how to interpret them.
* Objective 3: See first hand how to deploy DevOps Guru and step-by-step walk-thru on how to use the product to pinpoint performance issues.
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