Preface

In this cookbook, you will explore practical recipes and step-by-step instructions for solving real-world data challenges using the latest versions of the Elastic Stack’s components, including Elasticsearch, Kibana, Elastic Agent, Logstash, and Beats. This book equips you with the knowledge and skills necessary to unlock the full potential of the Elastic Stack.

The book begins with practical guides on installing the stack through various deployment methods. Subsequently, it delves into the ingestion and search of general content data, illustrating how to develop enhanced search experiences. As you progress, you will explore timestamped data ingestion, data transformation, and enrichment using various components of the Elastic Stack. You will also learn how to visualize, explore, and create dashboards with your data using Kibana. Moving forward, you will refine your skills in anomaly detection and data science, employing advanced techniques in data frame analytics and natural language processing. Equipped with these concepts, you will investigate the latest advancements in search technology, including semantic search and generative AI. Additionally, you will explore Elastic Observability use cases for log, infrastructure, and synthetic monitoring, alongside essential strategies for securing the Elastic Stack. Ultimately, you will gain expertise in Elastic Stack operations, enabling you to monitor and manage your system effectively.

By the end of the book, you will have acquired the necessary knowledge and skills to build scalable, reliable, and efficient data analytics and search solutions with the Elastic Stack.

Note

The Elastic Security solution, a significant component of the Elastic Stack, would have merited considerable attention in this book. However, due to considerations regarding the length of the book and the intended audience, we have opted not to include this section in the current edition.