Gone are the days when logs were hidden in the log files only, and we used to fetch them whenever there was an issue in the system. We can now collect the logs from all possible sources and use them to get a complete insight over any application or system. It helps us to understand the complete system, and we can easily identify any possible issues before they occur. After integrating data from different sources we can create a centralized dashboard that can help us in any sort of decision making. This ensures that we are getting all sorts of information in front of us to help us make any decisions.
Elasticsearch, along with complete Elastic Stack, provides us with a great tool for data analytics and we can analyze any type of data. It provides us with different tools to fetch the data from different sources. For example, by using Logstash we...
Elasticsearch 7 Quick Start Guide
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Elasticsearch 7 Quick Start Guide
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Overview of this book
Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease.
Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results.
By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch.
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Current Title:
Elasticsearch 7 Quick Start Guide
Table of Contents (10 chapters)
Preface
Free Chapter
Introduction to Elastic Stack
Installing Elasticsearch
Many as One – the Distributed Model
Prepping Your Data – Text Analysis and Mapping
Let's Do a Search!
Performance Tuning
Aggregating Datasets
Best Practices
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