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  • Book Overview & Buying AWS Observability Handbook
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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

Understanding Relational Database Service (RDS) performance issues using DevOps Guru

Amazon DevOps Guru for RDS is an ML-powered capability that assists developers and DevOps engineers in detecting, troubleshooting, and resolving issues related to Amazon RDS. DevOps Guru for RDS identifies issues related to databases, such as excessive resource usage, suggests index creation for certain keys, detects problematic SQL queries, and delivers diagnostic information and recommendations that expedite the issue resolution process.

Enabling Performance Insights on RDS is a prerequisite for Amazon DevOps Guru to provide database performance analysis. Performance Insights is a feature in RDS that provides database performance tuning insights and a detailed view of which SQL statements are causing the load, along with key performance metrics such as the active transaction count, deadlocks, and more. The following screenshot shows an example Performance Insights dashboard for an AWS RDS instance...

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AWS Observability Handbook
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