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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

An introduction to observability

Monitoring systems, applications, and assets in your business has been a long-standing practice in IT teams. Teams will generally want to keep an eye on their most critical environments to know whether systems are performing to expectations. This is generally achieved by defining a collection of data points to be collected from systems to understand the state in which the system operates. Metrics can indicate when faults or errors occur; engineers then analyze code, data, and configuration to understand and fix issues.

We've discussed how modern systems are increasingly complex and dynamic, given the demanding problems they solve for customers. Modern architectures often take a highly functional approach to solving problems. For example, teams may choose a relational database to persist ACID-compliant transactions, while leveraging Elasticsearch to offer free text search capabilities on top of the same dataset. Components are also decoupled...

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