Unlock the potential of Elastic Stack for search, analytics, security, and observability use cases, and effectively manage substantial data workloads in both on-premise and cloud environments
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 Description
The 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 for
This 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.
