4 New Elastic Stack Books Reshaping 2025

Drawing from extensive expertise in data ingestion and analytics, the authors present a methodical guide to mastering Elastic Stack's capabilities. You learn how to handle vast data workloads, from installation and ingestion with Elastic Agent and Beats to advanced machine learning, vector search, and generative AI integration. The book offers practical recipes for building search applications, transforming data, and creating insightful Kibana dashboards, with chapters dedicated to observability, security, and system operations. Whether you're a developer building applications, an observability practitioner monitoring cloud environments, or a data engineer exploring AI features, this book equips you with concrete skills to leverage Elastic Stack effectively.

After analyzing numerous Elasticsearch implementations, AGI Publishing crafted this guide to bridge gaps for both newcomers and seasoned users in the Elastic Stack ecosystem. You’ll get detailed insights into Elasticsearch architecture, learn to optimize queries with the Query DSL, and master scaling techniques for high availability. The book also dives into monitoring cluster health, securing data with role-based controls, and creating visualizations through Kibana, making it a solid resource if you want to sharpen your operational and analytical skills. While it’s approachable for beginners, the advanced examples and troubleshooting tips make it worthwhile for IT pros aiming to refine their Elastic Stack expertise.

This personalized book explores the cutting-edge developments and innovations shaping the 2025 Elastic Stack landscape. It covers new features, enhancements, and integrations designed to boost real-time data ingestion, search capabilities, and AI-driven analytics. Tailored to your background and goals, the content focuses on the latest advancements such as vector search, machine learning integration, and performance tuning, providing a clear pathway to mastering emerging tools and techniques. By addressing your specific interests, the book helps you stay ahead of the rapid evolution within Elastic Stack, fostering a deep understanding of its modern applications and future potential.

Madhusudhan Konda draws from his extensive experience as a full-stack lead engineer and mentor to guide you through Elasticsearch 8’s capabilities. You’ll gain practical knowledge on setting up clusters, indexing documents, and crafting advanced search queries, with chapters dedicated to text analysis and performance tuning. The book balances technical depth with real-world examples, such as using Kibana for data visualizations and machine learning integrations, making it a solid resource for developers ready to build scalable search applications. If you want to deepen your Elastic Stack skills beyond basics and understand how to optimize search experiences, this is a focused, hands-on guide for you.

When Anurag Srivastava set out to write this book, he drew upon more than 16 years of IT expertise and hands-on experience managing scalable web applications and Elastic Stack deployments. You’ll learn how to install, configure, and optimize Elasticsearch 8, plus how to integrate it with Kibana and Logstash for powerful data ingestion, search, and visualization. Srivastava doesn’t just cover basics; chapters like "Handling Geo with Elasticsearch" and "Analyzing Data with Elasticsearch Aggregations" delve into advanced features that sharpen your data analytics skills. If you’re a developer, architect, or DevOps engineer eager to harness Elasticsearch for real-time search and analytics, this book offers a grounded, example-driven path to mastering it.