Learning Elastic Stack 7.0 - Second Edition

Shukla, Pranav|Kumar, Sharath

ISBN 10: 1789954398 / ISBN 13: 9781789954395

Verlag: Packt Publishing, 2019

Beschreibung

This book teaches you about every component of the Elastic Stack - including Elasticsearch, Kibana, Logstash, and X-pack - with new and the updated features that are released with the 7.0 version. With the help of this book, you will be able to develop ente.

Bestandsnummer des Verkäufers 448333427

Bibliografische Details

• Titel: Learning Elastic Stack 7.0 - Second Edition
• Verlag: Packt Publishing
• Veröffentlichungsdatum: 2019
• Sprache: Englisch
• ISBN-10: 1789954398
• ISBN-13: 9781789954395
• Bindung: Softcover
• Ausgabe: 2. Auflage
• Zustand: New

Über diesen Titel

Inhaltsangabe

A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0

Key Features

• Gain access to new features and updates introduced in Elastic Stack 7.0
• Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana
• Explore useful tips for using Elastic Cloud and deploying Elastic Stack in production environments

Book Description

The Elastic Stack is a powerful combination of tools for techniques such as 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 help you use 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 searching 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 the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

What you will learn

• Install and configure an Elasticsearch architecture
• Solve the full-text search problem with Elasticsearch
• Discover powerful analytics capabilities through aggregations using Elasticsearch
• Build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis
• Create interactive dashboards for effective storytelling with your data using Kibana
• Learn how to secure, monitor and use Elastic Stack's alerting and reporting capabilities
• Take applications to an on-premise or cloud-based production environment with Elastic Stack

Who this book is for

This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.

Table of Contents

1. Introducing Elastic Stack
2. Getting Started with Elasticsearch
3. Searching-What is Relevant
4. Analytics with Elasticsearch
5. Analyzing Log Data
6. Building Data Pipelines with Logstash
7. Visualizing data with Kibana
8. Elastic X-Pack
9. Running Elastic Stack in Production
10. Building a Sensor Data Analytics Application
11. Monitoring Server Infrastructure

Über die Autorin bzw. den Autor

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has over 14 years' experience in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. Pranav founded Valens DataLabs with the vision of helping companies to leverage data to their competitive advantage. In his spare time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket.