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 an overview of the AWS Well-Architected framework and looked into the six pillars of the framework. Further, we have gone through how to apply the Well-Architected framework best practices to observability workloads running on AWS and explored various tools and solutions available to optimize the workloads as per the best practice requirements. Further, we talked about the M&G lens and the role of observability in the M&G lens. The M&G lens provides guidance beyond observability and throws light on how different functions should interoperate to derive the maximum benefits when running workloads on AWS. Then, we looked into how to set up an interoperable environment for the M&G pillars with respect to a observability solution and how they could be reused in other pillars to prepare your cloud-ready environment.

In the next chapter, we’ll delve into the Cloud Adoption Framework and explore the critical factors to consider...