Elastic Stack 8.x Cookbook - Akadiri, Yazid; Chen, Huage
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Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features: - Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes - Build search applications, analyze your data, and observe cloud-native applications - Harness powerful machine learning and AI features to create data science and search applications - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Learn how to make the most of the Elastic Stack…mehr

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Produktbeschreibung
Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features: - Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes - Build search applications, analyze your data, and observe cloud-native applications - Harness powerful machine learning and AI features to create data science and search applications - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Learn how to make the most of the Elastic Stack (ELK Stack) products-including Elasticsearch, Kibana, Elastic Agent, and Logstash-to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system. What You Will Learn: - Discover techniques for collecting data from diverse sources - Visualize data and create dashboards using Kibana to extract business insights - Explore machine learning, vector search, and AI capabilities of Elastic Stack - Handle data transformation and data formatting - Build search solutions from the ingested data - Leverage data science tools for in-depth data exploration - Monitor and manage your system with Elastic Stack Who this book is for: This book is for Elastic Stack users, developers, observability practitioners, and data professionals ranging from beginner to expert level. If you're a developer, you'll benefit from the easy-to-follow recipes for using APIs and features to build powerful applications, and if you're an observability practitioner, this book will help you with use cases covering APM, Kubernetes, and cloud monitoring. For data engineers and AI enthusiasts, the book covers dedicated recipes on vector search and machine learning. No prior knowledge of the Elastic Stack is required. Table of Content - Getting Started - Installing the Elastic Stack - Ingesting General Content Data - Building Search Applications - Timestamped Data Ingestion - Transform Data - Visualize and Explore Data - Alerting and Anomaly Detection - Advanced Data Analysis and Processing - Vector Search and Generative AI Integration - Elastic Observability Solution - Managing Access Control - Elastic Stack Operation - Elastic Stack Monitoring
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Autorenporträt
Huage Chen is a member of Elastic's customer engineering team and has been with Elastic for over five years, helping users throughout Europe to innovate and implement cloud-based solutions for search, data analysis, observability, and security. Before joining Elastic, he worked for 10 years in web content management, web portals, and digital experience platforms.