Book Image

AWS Observability Handbook

By : Phani Kumar Lingamallu, Fabio Braga de Oliveira
Book Image

AWS Observability Handbook

By: Phani Kumar Lingamallu, Fabio Braga de Oliveira

Overview of this book

As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications. You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework. By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.
Table of Contents (22 chapters)
1
Part 1: Getting Started with Observability on AWS
6
Part 2: Automated and Machine Learning-Powered Observability on AWS
11
Part 3: Open Source Managed Services on AWS
15
Part 4: Scaled Observability and Beyond

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...