Book Image

Hands-On Serverless Applications with Go

By : Mohamed Labouardy
Book Image

Hands-On Serverless Applications with Go

By: Mohamed Labouardy

Overview of this book

Serverless architecture is popular in the tech community due to AWS Lambda. Go is simple to learn, straightforward to work with, and easy to read for other developers; and now it's been heralded as a supported language for AWS Lambda. This book is your optimal guide to designing a Go serverless application and deploying it to Lambda. This book starts with a quick introduction to the world of serverless architecture and its benefits, and then delves into AWS Lambda using practical examples. You'll then learn how to design and build a production-ready application in Go using AWS serverless services with zero upfront infrastructure investment. The book will help you learn how to scale up serverless applications and handle distributed serverless systems in production. You will also learn how to log and test your application. Along the way, you'll also discover how to set up a CI/CD pipeline to automate the deployment process of your Lambda functions. Moreover, you'll learn how to troubleshoot and monitor your apps in near real-time with services such as AWS CloudWatch and X-ray. This book will also teach you how to secure the access with AWS Cognito. By the end of this book, you will have mastered designing, building, and deploying a Go serverless application.
Table of Contents (17 chapters)

Monitoring and Troubleshooting

Lambda monitoring is different from traditional application monitoring, due to the fact that you're not managing the underlying infrastructure on which your code is running. Thus, there is no access to OS metrics. However, you still need function-level monitoring to optimize your function performance and debug in case of failure. In this chapter, you will learn how to achieve that and also how to debug and troubleshoot serverless applications in AWS. You will learn to set up alarms based on metric thresholds in CloudWatch to be notified of potential issues. You will also look at how to use AWS X-Ray to profile the application to detect abnormal behavior.