About this book
The Elastic Stack enables you to design powerful data platforms with search, observability, and security-related use cases at scale. This book will help you learn how to use the Elastic Stack using hands-on examples.
You'll start by exploring the core components of the Elastic Stack and how they can be leveraged to extract, transform, and load data into Elasticsearch. You'll cover functionalities such as ingest pipelines, dataframe transforms, and Watcher alerting with examples that demonstrate various ways in which you can work with, manipulate, and create alerts on data in Elasticsearch. You'll learn how to implement various types of machine learning jobs on sample datasets for anomaly detection, categorization, and inference-related use cases. The book will also show you how to extract data from various sources using Logstash and Beats before advancing to using Kibana to analyze and visualize data. Finally, you'll cover advanced architecture patterns and see how to create robust solutions with the help of three use cases.
By the end of this book, you'll be able to build and deploy various components of the Elastic Stack to overcome real-world problems in the search, observability, and security realms.
- Publication date:
- January 2022