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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

agent 284

AI and ML insights

Amazon CodeGuru 388

Amazon Lookout for Metrics 390

AIOPs 41

AIOps-based operations 460

Amazon CloudWatch 24

Amazon CloudWatch Evidently 232

Amazon CloudWatch Metrics 24, 25

Amazon CloudWatch RUM 232

Amazon CloudWatch Synthetics 232

Amazon CodeGuru 24, 42, 389

software lifecycle 389

Amazon CodeGuru Profiler 42, 389

integration, with DevOps Guru 390

Amazon CodeGuru Reviewer 42, 389

Amazon DevOps Guru 41

Analyzed resources view 373

Dashboard 372

enabling 373-375

Insights 372

Integrations view 373

overview 372, 373

reference link 374

resources, analyzing with 376

settings 372

used, for enabling Performance Insights on RDS 387, 388

workflow 377, 378

Amazon DevOps Guru insights

discovery...