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

Deploying and Configuring an Amazon Managed Service for Prometheus

Prometheus is a metrics-based monitoring and alerting system initially built at SoundCloud. It is now an open source project, and has been part of the Cloud Native Compute Foundation since 2016. It focuses on doing a few things well: it collects and stores metrics as time-series data, and it has a powerful, highly dimensional data model and query language.

In this chapter, we will discuss Amazon Managed Service for Prometheus (AMP) and Amazon Managed Grafana (AMG). AMP is a Prometheus-compatible monitoring service, and you can use the same APIs and query language you are used to for monitoring your workloads. It is highly available, using multiple availability zones for deployment. And it automatically scales the ingestion, storage, and querying of operational metrics as your requirements go up and down. AMG is an open source visualization and analytics tool, often paired with Prometheus, to generate outstanding...