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Infrastructure Monitoring with Amazon CloudWatch

You're reading from   Infrastructure Monitoring with Amazon CloudWatch Effectively optimize resource allocation, detect anomalies, and set automated actions on AWS

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800566057
Length 314 pages
Edition 1st Edition
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Author (1):
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Ewere Diagboya Ewere Diagboya
Author Profile Icon Ewere Diagboya
Ewere Diagboya
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Monitoring and Amazon CloudWatch
2. Chapter 1: Introduction to Monitoring FREE CHAPTER 3. Chapter 2: CloudWatch Events and Alarms 4. Chapter 3: CloudWatch Logs, Metrics, and Dashboards 5. Section 2: AWS Services and Amazon CloudWatch
6. Chapter 4: Monitoring AWS Compute Services 7. Chapter 5: Setting Up Container Insights on Amazon CloudWatch 8. Chapter 6: Performance Insights for Database Services 9. Chapter 7: Monitoring Serverless Applications 10. Chapter 8: Using CloudWatch for Maintaining Highly Available Big Data Services 11. Chapter 9: Monitoring Storage Services with Amazon CloudWatch 12. Chapter 10: Monitoring Network Services 13. Chapter 11: Best Practices and Conclusion 14. Assessments 15. Other Books You May Enjoy

Chapter 8: Using CloudWatch for Maintaining Highly Available Big Data Services

The last chapter was focused on talking about serverless applications and how to monitor them. First, we explained the meaning of serverless and deciphered the differences between managed services and serverless services. We then looked at a couple of serverless services in the AWS suite. We explained them and some use cases for the different serverless services that were defined. We then moved on to X-Ray and saw how to monitor these services. We also talked about how Synthetics canaries in CloudWatch can be used for endpoint monitoring.

In this chapter, we will be looking at the monitoring of AWS big data services. But first, we need to understand the concepts of big data and the value big data brings to the table. We shall look at the different aspects that make up the practices of big data. We will also connect all these practices and see how they are all interdependent to achieve one goal. Then...

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