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)
1
Section 1: Core Components
4
Section 2: Working with the Elastic Stack
12
Section 3: Building Solutions with the Elastic Stack

Introduction to Beats agents

A key characteristic of modern IT environments is that useful data is generated everywhere. Appliances sitting on the edge of your network can have important metrics to capture; a fleet of frontend, backend, and database servers can generate critical error or warning logs, and the application your customer runs can generate in-depth instrumentation and tracing related to application performance bottlenecks you care about. Data is not only dispersed across the environment but is also varied in terms of the nature of the information, how it's structured, and how it should be collected.

When data is generated, it typically will need to be shipped to a centralized logging platform for search, correlation, and analysis. Beats agents are designed to collect and ship the data to such a central destination.

Note

A log contains information about a specific event generated by a system or application while a metric is a measurement of the state of a...