Elastic Stack 8.x Cookbook : Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights

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Détails bibliographiques
Auteur principal: Chen, Huage. (Auteur)
Autres auteurs: Akadiri, Yazid. (Auteur), Banon, Shay. (Préface)
Support: E-Book
Langue: Anglais
Publié: Birmingham : Packt Publishing.
Autres localisations: Voir dans le Sudoc
Résumé: Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environmentsKey FeaturesExplore the diverse capabilities of the Elastic Stack through a comprehensive set of recipesBuild search applications, analyze your data, and observe cloud-native applicationsHarness powerful machine learning and AI features to create data science and search applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionLearn 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 learnDiscover techniques for collecting data from diverse sourcesVisualize data and create dashboards using Kibana to extract business insightsExplore machine learning, vector search, and AI capabilities of Elastic StackHandle data transformation and data formattingBuild search solutions from the ingested dataLeverage data science tools for in-depth data explorationMonitor and manage your system with Elastic StackWho this book is forThis 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
Accès en ligne: Accès à l'E-book
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520 |a Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environmentsKey FeaturesExplore the diverse capabilities of the Elastic Stack through a comprehensive set of recipesBuild search applications, analyze your data, and observe cloud-native applicationsHarness powerful machine learning and AI features to create data science and search applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionLearn 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 learnDiscover techniques for collecting data from diverse sourcesVisualize data and create dashboards using Kibana to extract business insightsExplore machine learning, vector search, and AI capabilities of Elastic StackHandle data transformation and data formattingBuild search solutions from the ingested dataLeverage data science tools for in-depth data explorationMonitor and manage your system with Elastic StackWho this book is forThis 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 
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