Book Image

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 6.0

By: Pranav Shukla, Sharath Kumar M N

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.

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Table of Contents (19 chapters)
Title Page
Title Page
Credits
Credits
Disclaimer
Disclaimer
About the Authors
About the Authors
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Customer Feedback
Customer Feedback
Preface
Preface
Free Chapter
1
Introducing Elastic Stack
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
2
Getting Started with Elasticsearch
Getting Started with Elasticsearch
Using the Kibana Console UI
Core concepts
CRUD operations
Creating indexes and taking control of mapping
REST API overview
Summary
3
Searching-What is Relevant
Searching-What is Relevant
Basics of text analysis
Searching from structured data
Searching from full text
Writing compound queries
Summary
4
Analytics with Elasticsearch
Analytics with Elasticsearch
The basics of aggregations
Preparing data for analysis
Metric aggregations
Bucket aggregations
Pipeline aggregations
Summary
5
Analyzing Log Data
Analyzing Log Data
Log analysis challenges
Logstash architecture
Overview of Logstash plugins
Ingest node
Summary
6
Building Data Pipelines with Logstash
Building Data Pipelines with Logstash
Parsing and enriching logs using Logstash
Introducing Beats
Filebeat
Summary
7
Visualizing data with Kibana
Visualizing data with Kibana
Downloading and installing Kibana
Data preparation
Kibana UI
Timelion
Using plugins
Summary
8
Elastic X-Pack
Elastic X-Pack
Installing X-Pack 
Configuring X-Pack
Security
Monitoring Elasticsearch
Alerting
Summary
9
Running Elastic Stack in Production
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
10
Building a Sensor Data Analytics Application
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
11
Monitoring Server Infrastructure
Monitoring Server Infrastructure
Metricbeat
Configuring Metricbeat
Capturing system metrics
 Deploymezs architecture
Summary

About the Reviewer

Marcelo Ochoa works at the systems laboratory of Facultad de Ciencias Exactas, Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina. He is the CTO at www.scotas.com, a company that specializes in near-real-time search solutions using Apache Solr and Oracle. He divides his time between university jobs and external projects related to Oracle and big data technologies. He has worked on several Oracle-related projects, such as the translation of Oracle manuals and multimedia CBTs. His background is in database, network, web, and Java technologies. In the XML world, Marcelo is known as the developer of DB Generator for the Apache Cocoon project. He has worked on the open source projects DBPrism and DBPrism CMS, Lucene-Oracle integration using the Oracle JVM Directory implementation, and the Restlet.org project, where he worked on the Oracle XDB Restlet Adapter, an alternative to writing native REST web services inside a database-resident JVM.

Since 2006, he has been part of an Oracle ACE program and has recently linked to a Docker Mentor program.

Marcelo has coauthored Oracle Database Programming Using Java and Web Services by Digital Press and Professional XML Databases by Wrox Press. He has been a technical reviewer on several Packt books, such as Mastering Elastic Stack, Mastering Elasticsearch 5.x - Third Edition, Elasticsearch 5.x Cookbook - Third Edition, and so on.

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