Perform Index Management Tasks in Kibana 7
Any software application needs to be maintained over the long run. Elasticsearch Index is no different. This course will teach you the strategies and techniques you can follow to keep your index perform optimally, and your queries run faster.
What you'll learn
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.
Table of contents
About the author
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.