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Infrastructure Monitoring with Amazon CloudWatch

You're reading from Infrastructure Monitoring with Amazon CloudWatch

Product type Book

Published in Apr 2021

Publisher Packt

ISBN-13 9781800566057

Pages 314 pages

Edition 1st Edition

Languages

Concepts

Infrastructure Management

Author (1):

Ewere Diagboya

Table of Contents (16) Chapters

Preface

1. Section 1: Introduction to Monitoring and Amazon CloudWatch

2. Chapter 1: Introduction to Monitoring

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

Case study on CloudWatch custom metrics

The applications in your organization have something in common. They have all been built in the Java programming language running on the JVM runtime. The marketing team in your organization did a campaign that led to a huge spike of traffic in the application. This led to the application becoming very unstable and having frequent downtimes. You have gone through the Amazon CloudWatch automated dashboard for EC2 instances. The automated CloudWatch dashboard collects a lot of relevant information about the EC2 instances but still does not provide any insight into behavior due to the absence of a certain important EC2 metric. What is this metric? How do we go about collecting this metric to help us figure out what exactly is wrong with the application?

Solution

What is peculiar about Java applications and JVM is memory consumption. This can be figured out by installing the unified CloudWatch agent. This agent can help to collect memory-related...

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Authors (1)

Ewere Diagboya

Ewere Diagboya is a technology lover at heart who started his journey into technology back in 2003. At an early age, he finished mastering Windows 98 applications. He learned coding in Visual Basic 6.0 with the help of his brother. Afterward, he mastered other programming languages, building both desktop and web applications. Ewere moved into cloud computing and DevOps and has been practicing, training, and mentoring for close to a decade now. He worked closely with other like minds to start the AWS User Group in Nigeria and fostered DevOps Nigeria Group vibrancy. In 2020 he was awarded the first AWS Community Hero award in Africa. Ewere also runs a training institute and has a blog on Medium where he writes about cloud computing and DevOps.

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