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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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Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack 2. Getting Started with Elasticsearch FREE CHAPTER 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

Analyzing Log Data

Logs contain rich information about the state and behavior of a system or an application. Each system/application generates the logs whenever an event occurs, and the frequency, amount of information, and format of the information it logs varies from one system/application to another. With so much information at our disposal, collecting them, extracting the relevant information from them, and analyzing them in near real time can be a daunting task.

In the previous chapters, we have already explored how Elasticsearch, with its rich aggregation features, assists in analyzing huge amounts of data in near real time. Before analysis can be performed, we need a tool which can assist/ease the process of collecting logs, extracting the relevant information from them, and pushing them to Elasticsearch.

In this chapter, we will be exploring Logstash...

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