In 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.

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Spis treści

Getting Started with Elastic Stack 9.x. The complete hands-on guide to building search, observability, and security solutions - Second Edition eBook -- spis treści

• 1. Introduction to the Elastic Stack
• 2. Installing components of the stack
• 3. Security Foundations: Authentication, Authorization & Encryption
• 4. Kibana Essentials: Data Exploration, Analytics & Administration
• 5. Structuring and Organizing Your Elasticsearch Indices
• 6. Cost, Performance, and Resilience: Managing Data Over Time
• 7. Manipulating and alerting on data with Elasticsearch
• 8. Running Machine Learning jobs on Elasticsearch
• 9. Using Logstash to extract, transform and load data
• 10. Collecting and shipping data with Beats
• 11. Building search experiences
• 12. Building Intelligent Search & AI Architectures
• 13. Observing applications and infrastructure
• 14. AIOps in Practice: Detecting Anomalies and Automating Alerts with Elastic
• 15. Root Cause Analysis with Elastic: ML-Driven Correlation and AI Assistance
• 16. Security analytics on the Elastic Stack
• 17. Elastic stack in a Security Operations Centre (SOC)
• 18. Architecting the Elastic Stack