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

Monitoring operating system audit data using Auditbeat

While it is useful to monitor logs and metrics directly related to your workload, an important element of comprehensive visibility is monitoring configuration changes on the machine hosting your workload. Audit data derived from the operating system can indicate changes that may result in bugs or undesired behavior, non-compliance with security policies, or users making unauthorized changes.

Auditbeat leverages the Linux audit framework (auditd) to consistently and reliably collect audit/security-relevant data from hosts. The scope of data collection includes the following:

  • Linux kernel events related to unauthorized file access and remote access
  • Changes on critical files and file paths
  • Packages, processes, sockets, and user activity on the system

Data collection on auditd can be controlled using rules; curated rules can be found on openly available security hardening and best practice guides online.