You're reading from AWS Observability Handbook Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781804616710

Length 504 pages

Edition 1st Edition

Tools

AWS

Concepts

DevOps

Authors (2):

Fabio Oliveira

Phani Kumar Lingamallu

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Table of Contents (22) Chapters

Preface

1. Part 1: Getting Started with Observability on AWS

2. Chapter 1: Observability 101 FREE CHAPTER

3. Chapter 2: Overview of the Observability Landscape on AWS

4. Chapter 3: Gathering Operational Data and Alerting Using Amazon CloudWatch

5. Chapter 4: Implementing Distributed Tracing Using AWS X-Ray

6. Part 2: Automated and Machine Learning-Powered Observability on AWS

7. Chapter 5: Insights into Operational Data with CloudWatch

8. Chapter 6: Observability for Containerized Applications on AWS

9. Chapter 7: Observability for Serverless Applications on AWS

10. Chapter 8: End User Experience Monitoring on AWS

11. Part 3: Open Source Managed Services on AWS

12. Chapter 9: Collecting Metrics and Traces Using OpenTelemetry

13. Chapter 10: Deploying and Configuring an Amazon Managed Service for Prometheus

14. Chapter 11: Deploying the Elasticsearch, Logstash, and Kibana Stack Using Amazon OpenSearch Service

15. Part 4: Scaled Observability and Beyond

16. Chapter 12: Augmenting the Human Operator with Amazon DevOps Guru

17. Chapter 13: Observability Best Practices at Scale

18. Chapter 14: Be Well-Architected for Operational Excellence

19. Chapter 15: The Role of Observability in the Cloud Adoption Framework

20. Index

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21. Other Books You May Enjoy

AI and ML insights

In Chapter 2, Overview of the Observability Landscape on AWS, we discussed two additional services alongside Amazon DevOps Guru in terms of AI and ML insights: Amazon CodeGuru and Amazon Lookout for Metrics. Let’s briefly look at these two services since we don’t have an explicit chapter concerning them.

Amazon CodeGuru

Amazon CodeGuru is comprised of two different services: Amazon CodeGuru Reviewer, which is a static analysis tool that helps improve code quality by scanning for critical issues, identifying hard-to-find bugs, and recommending how to remediate them, and Amazon CodeGuru Profiler, which helps developers visualize their application to find the most expensive lines of code that impact application performance.

The relationship between these two services in terms of the software flow can be understood as follows:

Figure 12.28 – Amazon CodeGuru – Software Lifecycle

While writing code, you can...

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You're reading from AWS Observability Handbook Monitor, trace, and alert your cloud applications with AWS' myriad observability tools

Table of Contents (22) Chapters

AI and ML insights

Amazon CodeGuru

Unlock this book and the full library FREE for 7 days

Authors (2)

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