Book Image

Getting Started with Elastic Stack 8.0

By : Asjad Athick
Book Image

Getting Started with Elastic Stack 8.0

By: Asjad Athick

Overview of this book

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.
Table of Contents (18 chapters)
Section 1: Core Components
Section 2: Working with the Elastic Stack
Section 3: Building Solutions with the Elastic Stack

What this book covers

Chapter 1, Introduction to the Elastic Stack, gives you an overview of the core components of the stack and the solutions they can enable.

Chapter 2, Installing and Running the Elastic Stack, shows you how the core components can be installed, orchestrated, and run.

Chapter 3, Indexing and Searching for Data, explores Elasticsearch fundamentals for indexing and full-text search.

Chapter 4, Leveraging Insights and Managing Data on Elasticsearch, dives deeper into Elasticsearch, exploring aggregations, the data life cycle, and alerting.

Chapter 5, Running Machine Learning Jobs on Elasticsearch, looks at how supervised and unsupervised machine learning jobs can be configured to run on your data.

Chapter 6, Collecting and Shipping Data with Beats, introduces you to commonly used Beats agents and the different types of data sources they can collect on the stack.

Chapter 7, Using Logstash to Extract, Transform, and Load Data, explores the use of Logstash to build ETL pipelines for your data.

Chapter 8, Interacting with Your Data on Kibana, focuses on the use cases and solutions that can be built on top of your data.

Chapter 9, Managing Data Onboarding with Elastic Agent, looks at the use of a unified agent to continuously onboard and manage the collection of your data.

Chapter 10, Building Search Experiences Using the Elastic Stack, dives deep into the different aspects of building powerful and rich search experiences for your applications.

Chapter 11, Observing Applications and Infrastructure Using the Elastic Stack, focuses on building end-to-end observability solutions using logs, metrics, and APM traces to drive operational resiliency in your environment.

Chapter 12, Security Threat Detection and Response Using the Elastic Stack, looks at implementing security detection and response capability using Elastic's SIEM and EDR solutions to protect your environment from cyber-attacks.

Chapter 13, Architecting Workloads on the Elastic Stack, explores various best practices and reference architectures when it comes to running Elastic Stack workloads in production settings.