Pluralsight – Perform Index Management Tasks in Kibana 7 2024-10
Pluralsight – Perform Index Management Tasks in Kibana 7 2024-10

Course Perform Index Management Tasks in Kibana 7. Any software needs continuous maintenance. Elasticsearch indexes are no exception. This course will teach you strategies and techniques that you can use to optimize the performance of your indexes and increase the speed of your queries. As the volume of data entering your indexes increases, if your indexes are not maintained properly, your query performance may decrease. In this course, you will learn to design and architect your indicators to achieve the best performance. First, you’ll learn how to achieve scalability and reliability by understanding concepts like nodes, clusters, shards, and replicas. Then, you’ll expand your knowledge by exploring index settings, mappings, and aliases in designing index templates. Next, you will learn how to manage indexes by understanding the various operations of the index life cycle. Finally, you’ll learn how to create snapshots and restore indexes. After completing this course, you will have the skills and knowledge to optimally design and manage Elasticsearch indexes to achieve fast queries.
What you will learn:
- Designing indexes to achieve scalability and reliability
- Use index settings, mappings and aliases to optimize performance
- Life cycle management of indicators
- Creating snapshots and restoring indexes
This course is suitable for people who:
- Want to improve the performance of their Elasticsearch indexes
- They are looking to increase the speed of executing their queries
- They want to increase their knowledge in the field of index management
Specifications of the course Perform Index Management Tasks in Kibana 7
- Publisher: Pluralsight
- Teacher: Saravanan Dhandapani
- Education level: Intermediate
- Training duration: 1 hour 52 minutes
Course headings
Course images
Sample video of the course
Installation guide
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Quality: 1080p
download link
File(s) password: www.downloadly.ir
File size
260 MB