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

Exploring CloudWatch Application Insights

CloudWatch Application Insights streamlines the monitoring of enterprise applications with its intuitive and automated setup process. This reduces the time and effort required to configure monitoring, as it automatically sets up metrics, telemetry, logs, and alarms. The key advantage of using Application Insights is that it automatically discovers and configures application-specific monitoring, making it easy to effectively monitor your applications. Furthermore, it leverages ML analysis to perform in-depth problem analysis based on the gathered data, allowing you to quickly identify correlations between issues and relevant events.

It provides a dashboard for detected problems and provides insights and observations. It has predefined, customizable rules for alerting. It also helps you create an AWS System Manager (SSM) OpsItem to take remediation action with SSM runbooks.

Supported data sources on the Windows operating system include...