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Getting Started with Elastic Stack 8.0

You're reading from   Getting Started with Elastic Stack 8.0 Run powerful and scalable data platforms to search, observe, and secure your organization

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800569492
Length 474 pages
Edition 1st Edition
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Author (1):
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Asjad Athick Asjad Athick
Author Profile Icon Asjad Athick
Asjad Athick
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Core Components
2. Chapter 1: Introduction to the Elastic Stack FREE CHAPTER 3. Chapter 2: Installing and Running the Elastic Stack 4. Section 2: Working with the Elastic Stack
5. Chapter 3: Indexing and Searching for Data 6. Chapter 4: Leveraging Insights and Managing Data on Elasticsearch 7. Chapter 5: Running Machine Learning Jobs on Elasticsearch 8. Chapter 6: Collecting and Shipping Data with Beats 9. Chapter 7: Using Logstash to Extract, Transform, and Load Data 10. Chapter 8: Interacting with Your Data on Kibana 11. Chapter 9: Managing Data Onboarding with Elastic Agent 12. Section 3: Building Solutions with the Elastic Stack
13. Chapter 10: Building Search Experiences Using the Elastic Stack 14. Chapter 11: Observing Applications and Infrastructure Using the Elastic Stack 15. Chapter 12: Security Threat Detection and Response Using the Elastic Stack 16. Chapter 13: Architecting Workloads on the Elastic Stack 17. Other Books You May Enjoy

What this book covers

Chapter 1, Introduction to the Elastic Stack, gives you an overview of the core components of the stack and the solutions they can enable.

Chapter 2, Installing and Running the Elastic Stack, shows you how the core components can be installed, orchestrated, and run.

Chapter 3, Indexing and Searching for Data, explores Elasticsearch fundamentals for indexing and full-text search.

Chapter 4, Leveraging Insights and Managing Data on Elasticsearch, dives deeper into Elasticsearch, exploring aggregations, the data life cycle, and alerting.

Chapter 5, Running Machine Learning Jobs on Elasticsearch, looks at how supervised and unsupervised machine learning jobs can be configured to run on your data.

Chapter 6, Collecting and Shipping Data with Beats, introduces you to commonly used Beats agents and the different types of data sources they can collect on the stack.

Chapter 7, Using Logstash to Extract, Transform, and Load Data, explores the use of Logstash to build ETL pipelines for your data.

Chapter 8, Interacting with Your Data on Kibana, focuses on the use cases and solutions that can be built on top of your data.

Chapter 9, Managing Data Onboarding with Elastic Agent, looks at the use of a unified agent to continuously onboard and manage the collection of your data.

Chapter 10, Building Search Experiences Using the Elastic Stack, dives deep into the different aspects of building powerful and rich search experiences for your applications.

Chapter 11, Observing Applications and Infrastructure Using the Elastic Stack, focuses on building end-to-end observability solutions using logs, metrics, and APM traces to drive operational resiliency in your environment.

Chapter 12, Security Threat Detection and Response Using the Elastic Stack, looks at implementing security detection and response capability using Elastic's SIEM and EDR solutions to protect your environment from cyber-attacks.

Chapter 13, Architecting Workloads on the Elastic Stack, explores various best practices and reference architectures when it comes to running Elastic Stack workloads in production settings.

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