Getting Started with Elastic Stack 9.x: The complete hands-on guide to building search, observability, and security solutions

Master Elasticsearch v9.x to build AI-driven search, observability, and security solutions that scale effortlessly.

Key Features

Master Elastic's search, observability, and security tools through practical implementation

Enhance traditional capabilities with AI to deliver smarter, automated insights

Build robust, scalable architectures validated by real-world results

Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionIn Elastic Search AI Platform, you will learn to deliver fast, reliable Search, Observability, and Security solutions with Elasticsearch in the age of AI. The book starts by demystifying the platforms moving parts including indices, ingestion, pipelines, vector search, and deployments so you know what to use and why. You will practice the essentials through small, self contained exercises and build up to full workflows that ship to production.

Next you will go deep on ES QL, Elastics new query language, and the AI and ML features that matter in real systems such as embeddings, hybrid retrieval, RAG patterns, anomaly detection, and model inference. Each chapter walks you through ingesting data, setting sensible defaults, measuring performance, and adding the right dose of automation.

You will apply the same disciplined approach across Elastics three solution areas Search, Observability, and Security configuring them end to end and enhancing them with AI. The book closes with battle tested reference architectures and checklists you can adapt to your stack, along with guidance for cost, scaling, and operations. By the end, you will have the skills and confidence to design, implement, and run Elastic solutions that work at speed and scale.What you will learn

Identify which Elastic components solve specific business problems

Deploy and secure Elastic clusters in cloud and self-hosted environments

Build robust data ingestion pipelines with transformation capabilities

Master ES|QL and other Elastic query languages for data analysis

Design Search, Observability, and Security solutions using Kibana

Implement machine learning for anomaly detection and NLP tasks

Apply proven architecture patterns for production deployments

Who this book is forThis book is for developers, system administrators, and security professionals who want to master the modern Elastic Search AI Platform. Whether you're new to Elastic, returning after time away, or upgrading from older versions, you'll learn to implement search, observability, and security solutions. Perfect for detection engineers, cybersecurity analysts, DevOps teams, and data engineers who need practical skills in data ingestion, analysis, and visualization. Basic familiarity with databases, system administration, and distributed systems concepts is helpful but not required.