Getting Started with Elastic Stack 8.0
Run powerful and scalable data platforms to search, observe, and secure your organization
Published on 17. March 2022
Book
Paperback/Softback
474 pages
978-1-80056-949-2 (ISBN)
Description
Use the Elastic Stack for search, security, and observability-related use cases while working with large amounts of data on-premise and on the cloud
Key Features
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
Book DescriptionThe 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.
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
Who this book is forDevelopers 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.
Key Features
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
Book DescriptionThe 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.
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
Who this book is forDevelopers 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 26 mm
Weight
877 gr
ISBN-13
978-1-80056-949-2 (9781800569492)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Asjad Athick is a security specialist at Elastic with demonstratable experience in architecting enterprise-scale solutions on the cloud. He believes in empowering people with the right tools to help them achieve their goals. At Elastic, he works with a broad range of customers across Australia and New Zealand to help them understand their environment; this allows them to build robust threat detection, prevention, and response capabilities. He previously worked in the telecommunications space to build a security capability to help analysts identify and contextualize unknown cyber threats. With a background in application development and technology consulting, he has worked with various small businesses and start-up organizations across Australia.
Content
Table of Contents
Introduction to the Elastic Stack
Installing and Running the Elastic Stack
Indexing and Searching for Data
Leveraging Insights and Managing Data on Elasticsearch
Running Machine Learning Jobs on Elasticsearch
Collecting and Shipping Data with Beats
Using Logstash to Extract, Transform, and Load Data
Interacting with Your Data on Kibana
Managing Data Onboarding with Elastic Agent
Building Search Experiences Using the Elastic Stack
Observing Applications and Infrastructure Using the Elastic Stack
Security Threat Detection and Response Using the Elastic Stack
Architecting Workloads on the Elastic Stack
Introduction to the Elastic Stack
Installing and Running the Elastic Stack
Indexing and Searching for Data
Leveraging Insights and Managing Data on Elasticsearch
Running Machine Learning Jobs on Elasticsearch
Collecting and Shipping Data with Beats
Using Logstash to Extract, Transform, and Load Data
Interacting with Your Data on Kibana
Managing Data Onboarding with Elastic Agent
Building Search Experiences Using the Elastic Stack
Observing Applications and Infrastructure Using the Elastic Stack
Security Threat Detection and Response Using the Elastic Stack
Architecting Workloads on the Elastic Stack