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

Introducing Kibana

Kibana was created primarily as a visualization tool for data residing on Elasticsearch and is bundled together as part of the stack. Since its inception, Kibana has evolved to cater to use cases such as alerting, reporting, and monitoring Elastic Stack components, as well as administrating and managing the Elasticsearch cluster in use.

More importantly, Kibana provides the interface and functionality for the solutions that Elastic Stack offers, in addition to administration and management options for the core components. Functionality in Kibana is organized using applications (or apps, for short).

Apps on Kibana can be solution-specific or part of the general stack. The SIEM app, for example, powers the security solution, enabling security analysts and threat hunters to defend their organization from attacks. The APM app is another solution-specific app that, in this case, allows developers and SREs to observe their applications to look for issues or performance bottlenecks.

On the other hand, general Kibana apps such as Discover, Visualize, and Dashboard can be used to explore, interrogate, and visualize data, regardless of the solution the data enables. Ingest Manager is another example of an app that allows you to configure Elastic Agent to collect any kind of data from across an environment, agnostic of the solution the data may be used in.

Solution-specific apps on Kibana provide a great out-of-the-box user experience, as well as targeted features and functionality for the solution in question. General or stack-based applications provide powerful but unified capabilities that can be used across all solutions, even custom solutions that you might build on the Elastic Stack. General Kibana apps such as Discover and Dashboard are useful for all use cases, while solution-specific apps such as Observability and Security provide curated out-of-the-box experiences for the solution area. Kibana is usually considered a core component of the Elastic Stack and is often installed, even if the cluster is not used for data analysis.

We will dive deeper into Kibana's features in Chapter 8, Interacting with Your Data on Kibana. Now, let's look at how data can be collected and ingested into Elasticsearch using Logstash and Beats.