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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

Observability for Containerized Applications on AWS

Malcolm Purcell McLean revolutionized the international transport business by introducing modern containers to reduce the labor required to load ships and trucks with goods of different sizes, reducing costs, improving reliability, and shortening transit time.

In the same way, container technology is revolutionizing how businesses ship production code to data centers and the public cloud. It is becoming the standard way of transporting code to run elsewhere, allowing the standardization of tools and pipelines, realizing the dream “compile once, run everywhere” promise for any technological stack.

A recent Gartner report says that we will have an increase from 20% in 2019 to 70% in 2023 of global organizations running more than two containerized applications in production (see https://www.gartner.com/en/newsroom/press-releases/2020-06-25-gartner-forecasts-strong-revenue-growth-for-global-co). With all this growth...

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AWS Observability Handbook
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