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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

Architectures to handle complex requirements

Elastic Stack is designed to be extremely flexible in how it can be deployed and used to solve your big data use cases. This section will explore specialized architecture patterns that can be used to handle more complex architectural requirements for your solution.

Elasticsearch (and other stack components) can be configured to be highly available and fault-tolerant in a single geographical region when following standard architecture best practices. Given the sensitive latency and bandwidth requirements for inter-node communication within an Elasticsearch cluster, it is generally not possible to deploy a cluster that spans multiple geographical regions. This presents two main challenges:

  • Standard architecture clusters are not resilient to complete failures within a geographical region.
  • Users and data in other geographies will experience high latencies, pay more in terms of data transfer costs, and have reduced bandwidth for...
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