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


In this chapter, we looked at how Elastic Stack components can be architected and deployed to satisfy commonly expected nonfunctional requirements in modern IT environments. First, we looked at various design considerations when architecting workloads for high availability, scalability, disaster recoverability, and security. We understood the characteristics of the different Elastic Stack components and how they can be deployed to achieve these requirements.

Next, we looked at more complex Elastic Stack architectures to handle specialized requirements and use cases. We looked at how cross-cluster search architectures enable federated searching across Elastic Stack deployments, potentially in different geographical regions. We also looked at how cross-cluster replication can be used to enable multi-region DR use cases while improving speed and access to data for globally dispersed users. We then looked at using tiered data architectures on Elasticsearch to help teams make...