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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

Product type Paperback

Published in Apr 2021

Publisher Packt

ISBN-13 9781800566057

Length 314 pages

Edition 1st Edition

Tools

Amazon CloudWatch

Concepts

Infrastructure Management

Author (1):

Ewere Diagboya

View More author details

Table of Contents (16) Chapters

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

Case study on monitoring a Kinesis stream

The data engineering team has been using an AWS EC2 instance with a custom plugin to extract data generated from the Apache server. For some reason, they noticed that it is taking time for the KCL to receive information being sent to it. The instance is restarted and the KPL is restarted, and they notice that the problem persists. What should have been done or configured to ensure that the team is alerted when this sort of incident occurs?

Solution

When the Kinesis stream is created, head on over to the Amazon CloudWatch console and configure an alarm with a specific threshold for the Get records latency metric, to ensure that the team is alerted via an SNS email or SMS notification.

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Authors (1)

Diagboya

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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