Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar

4.5 (10)

Buy this Book

Learning Elastic Stack 6.0

4.5 (10)

By: Pranav Shukla, Sharath Kumar

Buy this Book

Overview of this book

The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

Introducing Elastic Stack

What is Elasticsearch, and why use it?

Exploring the components of Elastic Stack

Use cases of Elastic Stack

Downloading and installing

Summary

Getting Started with Elasticsearch

Using the Kibana Console UI

Core concepts

CRUD operations

Creating indexes and taking control of mapping

REST API overview

Summary

Searching-What is Relevant

Basics of text analysis

Searching from structured data

Searching from full text

Writing compound queries

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

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

Data preparation

Kibana UI

Timelion

Using plugins

Summary

Elastic X-Pack

Installing X-Pack

Configuring X-Pack

Security

Monitoring Elasticsearch

Alerting

Summary

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

Customer Reviews

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Searching-What is Relevant

One of the core strengths of Elasticsearch is its search capabilities. In the previous chapter, we gained a good understanding of Elasticsearch's core concepts, its REST API, and its basic operations. With all that knowledge at hand, we will further our journey by learning about Elastic Stack. We will cover the following topics in this chapter.