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

Chapter 9: Managing Data Onboarding with Elastic Agent

In the previous chapter, we explored some of the visualization tools available to users on Kibana to explore, interrogate, and understand different types of data. We also looked at how solution-specific applications on Kibana enable the different search, security, and observability use cases.

If your goal is to build in-depth security or observability use cases from your data (such as detecting errors in your environment before they impact user experience, or stopping security threats before they can disrupt your business), you need to onboard and ingest data from multiple layers of your technology stack to maximize your visibility. For example, if you're monitoring a simple three-tier web application, you would want to collect the following:

  • HTTP request/error logs from your frontend web server
  • Success/error logs and metrics/traces from your application
  • Metrics and error logs from your database layer
  • ...