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

Observability for Serverless Applications on AWS

To summarize the chapters so far, in Chapter 3, Gathering Operational Data and Alerting Using Amazon CloudWatch, Chapter 4, Implementing Distributed Tracing Using AWS X-Ray, and Chapter 5, Insights into Operational Data with CloudWatch, we focused on observing applications running on EC2 using CloudWatch. In Chapter 6, Observability for Containerized Applications on AWS, we delved into observability for applications running on containers. In this chapter, we will explore the observability of serverless applications running on AWS, specifically for those running on AWS Lambda.

Amazon Web Services (AWS) introduced AWS Lambda in 2015 as a solution for developers to create software without the overhead of managing operating systems and scalability. Observability for Lambda will be important, as the functions are event-driven and loosely coupled, making it challenging to understand the interactions between them and troubleshoot issues...