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Getting Started with Elastic Stack 8.0
Getting Started with Elastic Stack 8.0

Getting Started with Elastic Stack 8.0: Run powerful and scalable data platforms to search, observe, and secure your organization

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Profile Icon Asjad Athick
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (9 Ratings)
Paperback Mar 2022 474 pages 1st Edition
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S$53.98 S$59.99
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Arrow left icon
Profile Icon Asjad Athick
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Free Trial
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (9 Ratings)
Paperback Mar 2022 474 pages 1st Edition
eBook
S$53.98 S$59.99
Paperback
S$74.99
Subscription
Free Trial
eBook
S$53.98 S$59.99
Paperback
S$74.99
Subscription
Free Trial

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Table of content icon View table of contents Preview book icon Preview Book

Getting Started with Elastic Stack 8.0

Chapter 1: Introduction to the Elastic Stack

Welcome to Getting Started with Elastic Stack 8.0. The Elastic Stack has exploded in popularity over the last couple of years, becoming the de facto standard for centralized logging and "big data"-related use cases. The stack is leveraged by organizations, both big and small, across the world to solve a range of data-related problems. Hunting for adversaries in your network, looking for fraudulent transactions, real-time monitoring and alerting in systems, and searching for relevant products in catalogs are some of the real-world applications of the Elastic Stack.

The Elastic Stack is a bundle of multiple core products that integrate with each other. We will look at each product briefly in this chapter, and then dive into each one in later chapters in this book. The Elastic Stack attracts a great deal of interest from developers and architects that are working for organizations of all sizes. This book aims to serve as the go-to guide for those looking to get started with the best practices when it comes to building real-world search, security, and observability platforms using this technology.

In this chapter, you will learn a little bit about each component that makes up the Elastic Stack, and how they can be leveraged for your use cases. Those of you who are beginners or intermediary learners of this subject will benefit from this content to gain useful context for Chapter 3, Indexing and Searching for Data, to Chapter 13, Architecting Workloads on the Elastic Stack, of this book.

Specifically, we will cover the following topics:

  • An overview of the Elastic Stack
  • An introduction to Elasticsearch
  • Visualizing and interacting with data on Kibana
  • Ingesting various data sources using Logstash and Beats
  • End-to-end solutions on the Elastic Stack
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Key benefits

  • Learn the core components of the Elastic Stack and how they work together
  • Build search experiences, monitor and observe your environments, and defend your organization from cyber attacks
  • Get to grips with common architecture patterns and best practices for successfully deploying the Elastic Stack

Description

The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas. This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You’ll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you’ll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You’ll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you’ll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you’ll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments. By the end of this book, you’ll be able to implement the Elastic Stack and derive value from it.

Who is this book for?

Developers and solutions architects looking to get hands-on experience with search, security, and observability-related use cases on the Elastic Stack will find this book useful. This book will also help tech leads and product owners looking to understand the value and outcomes they can derive for their organizations using Elastic technology. No prior knowledge of the Elastic Stack is required.

What you will learn

  • Configure Elasticsearch clusters with different node types for various architecture patterns
  • Ingest different data sources into Elasticsearch using Logstash, Beats, and Elastic Agent
  • Build use cases on Kibana including data visualizations, dashboards, machine learning jobs, and alerts
  • Design powerful search experiences on top of your data using the Elastic Stack
  • Secure your organization and learn how the Elastic SIEM and Endpoint Security capabilities can help
  • Explore common architectural considerations for accommodating more complex requirements

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 23, 2022
Length: 474 pages
Edition : 1st
Language : English
ISBN-13 : 9781800569492
Vendor :
Elastic
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Product Details

Publication date : Mar 23, 2022
Length: 474 pages
Edition : 1st
Language : English
ISBN-13 : 9781800569492
Vendor :
Elastic
Category :

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Table of Contents

17 Chapters
Section 1: Core Components Chevron down icon Chevron up icon
Chapter 1: Introduction to the Elastic Stack Chevron down icon Chevron up icon
Chapter 2: Installing and Running the Elastic Stack Chevron down icon Chevron up icon
Section 2: Working with the Elastic Stack Chevron down icon Chevron up icon
Chapter 3: Indexing and Searching for Data Chevron down icon Chevron up icon
Chapter 4: Leveraging Insights and Managing Data on Elasticsearch Chevron down icon Chevron up icon
Chapter 5: Running Machine Learning Jobs on Elasticsearch Chevron down icon Chevron up icon
Chapter 6: Collecting and Shipping Data with Beats Chevron down icon Chevron up icon
Chapter 7: Using Logstash to Extract, Transform, and Load Data Chevron down icon Chevron up icon
Chapter 8: Interacting with Your Data on Kibana Chevron down icon Chevron up icon
Chapter 9: Managing Data Onboarding with Elastic Agent Chevron down icon Chevron up icon
Section 3: Building Solutions with the Elastic Stack Chevron down icon Chevron up icon
Chapter 10: Building Search Experiences Using the Elastic Stack Chevron down icon Chevron up icon
Chapter 11: Observing Applications and Infrastructure Using the Elastic Stack Chevron down icon Chevron up icon
Chapter 12: Security Threat Detection and Response Using the Elastic Stack Chevron down icon Chevron up icon
Chapter 13: Architecting Workloads on the Elastic Stack Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
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1 star 11.1%
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Dorin May 23, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I like this book very much. It describes the content in great detail and accurately, but without being boring. Many examples that you can use yourself explain the facts directly. I am very satisfied and would happily recommend the book.
Subscriber review Packt
variable Mar 28, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
There were a lot of changes between 7.x and 8.x. This book really gets into the details of those and has a lot of great examples. Things that really resonated were the integration of NLP within Elasticsearch. This kind of thing really makes data ingestion easier in that you don't need to process sentiment and text classification outside of Elasticsearch.
Amazon Verified review Amazon
Mankatha Jan 03, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is very up to date and the author just able to make it clear about the different approaches and the applications of ELK.
Amazon Verified review Amazon
TAMMY May 31, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a great book that provides a comprehensive overview of the Elastic Stack. I particularly found the chapters on data lifecycle management and machine learning very insightful. The book provided good examples both using the UI and DevTools to be effective.
Amazon Verified review Amazon
IslandGuy May 05, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Covers nearly every topic you would need to get started on Elasticsearch. Good examples with clear instructions. Would highly recommend if you're getting your feet wet and don't want to endlessly read online documentation/forums to piece things together yourself.
Amazon Verified review Amazon
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