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

Responding to changes in data with alerting

So far in the chapter, we've looked at different ways in which users can interact with various types of data in real time. Analysts can easily explore and interrogate data and find events of interest and the consequences they may have on their use case.

Events of interest once discovered through analysis can happen multiple times in a system. Interactive analysis workflows involving a human do not necessarily scale in these cases, and there is a need to automate the detection of these events. This is where alerting plays an important role.

Kibana alerting is an integrated platform feature across all solutions in Kibana. Security analysts, for example, can use alerting to apply threat detection logic and the appropriate response workflows to mitigate potential issues. Engineering teams may use alerts to find precursors to a potential outage and alert the on-call site reliability engineer to take necessary action. We will explore...