Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
AWS Observability Handbook

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

Arrow left icon
Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804616710
Length 504 pages
Edition 1st Edition
Tools
Concepts
Arrow right icon
Authors (2):
Arrow left icon
Fabio Oliveira Fabio Oliveira
Author Profile Icon Fabio Oliveira
Fabio Oliveira
Phani Kumar Lingamallu Phani Kumar Lingamallu
Author Profile Icon Phani Kumar Lingamallu
Phani Kumar Lingamallu
Arrow right icon
View More author details
Toc

Table of Contents (22) Chapters Close

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 21. Other Books You May Enjoy

Summary

In this chapter, we looked at how to instrument a serverless application from end to end. We began by examining the default metrics and logs generated by the Lambda function and then expanded our monitoring capabilities using Lambda Insights and looked at how Lambda Insights works.

Furthermore, we discussed the importance of Lambda Powertools and walked through an example, and discussed the step-by-step process of changes made to include them in your Node.js function in each area of metrics, logs, and traces and how they can enhance the operational experience.

As a part of the custom metrics, we have discussed how to set up important business metrics as part of Lambda Powertools metrics. Finally, we talked about the benefits of using X-Ray groups to filter and focus on the traces that are of most interest, making it easier to troubleshoot and resolve issues.

The overall Lambda observability could be summarized in a diagram, as follows:

Figure...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime