Book Overview & Buying
Table Of Contents

Learning Elastic Stack 7.0 - Second Edition

By : Pranav Shukla, Sharath Kumar M N

3.8 (6)

Buy this Book

Learning Elastic Stack 7.0

3.8 (6)

By: Pranav Shukla, Sharath Kumar M N

Buy this Book

Overview of this book

The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Section 1: Introduction to Elastic Stack and Elasticsearch

Introducing Elastic Stack

What is Elasticsearch, and why use it?

Exploring the components of the Elastic Stack

Use cases of Elastic Stack

Downloading and installing

Summary

Getting Started with Elasticsearch

Using the Kibana Console UI

Core concepts of Elasticsearch

CRUD operations

Creating indexes and taking control of mapping

REST API overview

Summary

Section 2: Analytics and Visualizing Data

Searching - What is Relevant

The basics of text analysis

Searching from structured data

Searching from the full text

Writing compound queries

Modeling relationships

Summary

Analytics with Elasticsearch

The basics of aggregations

Preparing data for analysis

Metric aggregations

Bucket aggregations

Pipeline aggregations

Summary

Analyzing Log Data

Log analysis challenges

Using Logstash

The Logstash architecture

Overview of Logstash plugins

Ingest node

Summary

Building Data Pipelines with Logstash

Parsing and enriching logs using Logstash

Introducing Beats

Filebeat

Summary

Visualizing Data with Kibana

Downloading and installing Kibana

Preparing data

Kibana UI

Timelion

Using plugins

Summary

Section 3: Elastic Stack Extensions

Elastic X-Pack

Installing Elasticsearch and Kibana with X-Pack

Configuring X-Pack

Securing Elasticsearch and Kibana

Monitoring Elasticsearch

Alerting

Summary

Section 4: Production and Server Infrastructure

Running Elastic Stack in Production

Hosting Elastic Stack on a managed cloud

Hosting Elastic Stack on your own

Backing up and restoring

Setting up index aliases

Setting up index templates

Modeling time series data

Summary

Building a Sensor Data Analytics Application

Introduction to the application

Modeling data in Elasticsearch

Setting up the metadata database

Building the Logstash data pipeline

Sending data to Logstash over HTTP

Visualizing the data in Kibana

Summary

Monitoring Server Infrastructure

Metricbeat

Configuring Metricbeat

Capturing system metrics

Deployment architecture

Summary

Other Books You May Enjoy

Leave a review - let other readers know what you think

Section 4: Production and Server Infrastructure

This section shows you how Elastic Stack components can be used to model your data in Elasticsearch and how to build data pipelines to ingest data and visualize it using Kibana. It also shows you how to deploy Elastic Stack to production. You will see how Elasticsearch simplifies situations in terms of searching products, log analytics, and sensor data analytics. We are also going to work on Elastic Cloud to deploy Elastic Stack. Finally, we will look at how Elastic Stack can be used to set up a real-time monitoring solution for your servers and the applications that we have built using Elastic Stack.

This section includes the following chapters: