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AWS Observability Handbook

AWS Observability Handbook

By : Phani Kumar Lingamallu, Fabio Oliveira
4.7 (7)
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AWS Observability Handbook

AWS Observability Handbook

4.7 (7)
By: Phani Kumar Lingamallu, Fabio 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)
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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

End User Experience Monitoring on AWS

Welcome to the exciting world of end user experience monitoring on AWS! In Chapters 3, Gathering Operational Data Using Amazon CloudWatch, through Chapter 7, Observability for Serverless Application on AWS, we discussed how you can observe the applications running on AWS across different workloads including EC2, containers, and serverless compute systems such as Lambda, based on the building blocks of observability of gathering metrics, logs, and traces. While this provided us with a solid foundation to tackle issues we know about, it’s equally important to consider issues we might not know about yet. We build and run applications to serve the users, and it is always good to understand how our applications are performing from the user’s perspective, not just from the server’s standpoint. This is where end user experience monitoring comes into play, and AWS offers a wide range of services to help you understand the end user...

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AWS Observability Handbook
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