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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack FREE CHAPTER 2. Getting Started with Elasticsearch 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

Monitoring Elasticsearch


Elasticsearch exposes a rich set of APIs known as stats APIs to monitor Elasticsearch at cluster, node, and indices levels. Some of those APIs are _cluster/stats, _nodes/stats, and myindex/stats. These APIs provide state/monitoring information in real time and the statistics presented in these APIs is point-in-time and in .json format. As an administrator/developer, when working with Elasticsearch, one would be interested in both real-time statistics as well as historical statistics, which would help them in understanding/analyzing the behavior (health or performance) of a cluster better.

Also, reading through a set of numbers for a period of time (say, for example, to find out the JVM utilization over time) would be very difficult. Rather, a UI that pictorially represents these numbers as graphs would be very useful in visualizing and analyzing the current and past trends/behaviors (health or performance) of the Elasticsearch cluster. This is where the monitoring...

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