Elastic Stack 8.x Cookbook
Packt Publishing Limited (Verlag)
978-1-83763-429-3 (ISBN)
Key Features
Explore the diverse capabilities of the Elastic Stack with a large set of recipes
Build search applications, analyze your data, and observe cloud native applications
Use the powerful Machine Learning and AI features to create data science and search applications
Book DescriptionThe Elastic Stack (also known as the ELK Stack) is a collection of open-source products - Elasticsearch, Kibana, Elastic Agent, and Logstash that can reliably and securely take data from any source, in any format, and then search, analyze, and visualize it in real-time. This book will give you the knowledge and skills to unlock the full potential of Elastic Stack.
In this Cookbook, you'll explore practical recipes, starting with installing and ingesting data using Elastic Agent and Beats, and diving into data transformation and enrichment with various Elastic components. You'll explore the latest advancements in search applications, including semantic search and Generative AI. You'll learn to visualize and explore your data, and create dashboards using Kibana. As you move ahead, you'll advance your skills with machine learning for data science, natural language processing, and vector search. You'll discover 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.
By the end of the book, you'll acquire the knowledge and skills to build scalable, reliable, and efficient data analytics and search solutions using Elastic Stack.What you will learn
Discover techniques for collecting data from a wide range of sources
Visualize data and create dashboards using Kibana to gain 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 effectively with Elastic Stack
Who this book is forThis book is for Elastic Stack users, developers, observability practitioners, and data professionals from beginner to expert level who are looking for practical experience on the Elastic Stack. As a developer, you’ll find easy-to-follow recipes to use APIs and features to build powerful applications. This book will also help observability practitioners through use cases covering APM, Kubernetes, and cloud monitoring. For data engineers and AI enthusiasts, the book will provide dedicated recipes on vector search and machine learning. No prior knowledge of the Elastic Stack is required.
Huage Chen is a member of Elastic's Solutions Architecture team for over 4 years, helping users across Europe create cloud-based solutions for search, data analysis, observability, and security. Prior to joining Elastic, he worked for 10 years in the field of web content management, web portals, and digital experience platforms. Huage holds a master's degree in computer science from INSA de Lyon. Yazid Akadiri is a solution architect at Elastic for over 4 years, helping organizations and users solve their data and most critical business issues by harnessing the power of the Elastic Stack. At Elastic, he works with a broad range of customers with a particular focus on Elastic observability and security solutions. He previously worked in web services oriented architecture focusing on API management and helping organizations build modern applications.
Table of Contents
Getting started with Elastic Stack
General content Data ingestion
Timestamped Data ingestion
Transforming data
Building Search Applications
Visualize and explore data
Alerting & Anomaly detection
Elastic stack & Data science
Elastic Observability solution
Secure the Elastic stack
Elastic Stack monitoring
Elastic Stack operations
Elastic Stack Monitoring
Erscheinungsdatum | 25.07.2023 |
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Verlagsort | Birmingham |
Sprache | englisch |
Maße | 191 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
ISBN-10 | 1-83763-429-7 / 1837634297 |
ISBN-13 | 978-1-83763-429-3 / 9781837634293 |
Zustand | Neuware |
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