As more data gets ingested to your indices, your queries performance might suffer if they are not maintained properly. In this course, Perform Index Management Tasks in KIbana, you’ll learn to design and architect your indices for optimal performance . First, you’ll explore how to achieve scalability and reliability by understanding nodes, clusters, shards, and replicas. Next, you’ll discover index settings, mappings and aliases in designing your index templates. Then you will learn how to manage the indices by understanding various lifecycle operations. Finally, you’ll learn how to perform a snapshot and restore indices. When you’re finished with this course, you’ll have the skills and knowledge of optimally designing and managing Elasticsearch indices needed to achieve fast performing queries.
Author Name: Saravanan Dhandapani
Author Description:
I have worked in IT design, development, and architecture for over a decade for some of the top fortune 100 companies. I have designed and architected enterprise applications and developed scalable and portable software. I am a Google Certified Professional Architect. Critical areas where I have worked are architecture and design using Java, ESB, Tomcat, ReactJS, JavaScript, Linux, Oracle, SVN, GIT, and so on, and cloud technologies, including AWS and GCP.

Table of Contents

• Course Overview
  1min
• Achieving High Performance with Elasticsearch Indices
  23mins
• Optimizing Elastisearch Indices
  29mins
• Managing Index Lifecycle
  30mins
• Performing Data Backtup and Restore
  27mins