Elastic Performance and Tuning Course Outline

This document is a course outline for the Elastic Performance and Tuning course. It details the tools and techniques that students will explore to optimize and tune their Elastic cluster. The course includes a focus on hardware-to-software optimization techniques and stress-testing the Elastic environment to identify potential bottlenecks that could affect cluster operation in a production-level setting. The target audience for this course includes Elastic Operators, System Administrators, and Site Reliability Engineers. The course duration is specified as 24 hours, and all lessons will incorporate hands-on labs. Key lessons include an introduction to performance testing, an overview of the ESRally benchmarking tool, monitoring nodes and indices, and optimizing indices. Additionally, the course covers tuning for indexing speed and search speed, along with explanations of important tools like the search profile and explain API. Prerequisites include completion of the Elasticsearch Engineer course and a deep knowledge of Elasticsearch infrastructure.