Learning ELK Stack
| By: | Saurabh Chhajed |
| Publisher: | Packt Publishing |
| Print ISBN: | 9781785887154 |
| eText ISBN: | 9781785886706 |
| Edition: | 1 |
| Copyright: | 2015 |
| Format: | Reflowable |
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Table of Contents
Book Description
The ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before. This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You’ll move on to building a basic data pipeline using the ELK stack. Next, you’ll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps. Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.What you will learn
- Install, configure, and run Elasticsearch, Logstash, and Kibana
- Understand the need for log analytics and the current challenges in log analysis
- Build your own data pipeline using the ELK stack
- Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides
- Build your own custom Logstash plugin
- Create actionable insights using charts, histograms, and quick search features in Kibana4
- Understand the role of Elasticsearch in the ELK stack