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)

Lambda cost and memory tracking

The key behind designing cost-effective serverless applications in AWS Lambda is by monitoring your cost and resource usage. Unfortunately, CloudWatch doesn't provide out of the box metrics about the resource usage or the Lambda function cost. Luckily, for each execution, the Lambda function writes an execution log to CloudWatch that looks like the following:

REPORT RequestId: 147e72f8-5143-11e8-bba3-b5140c3dea53 Duration: 12.00 ms Billed Duration: 100 ms  Memory Size: 128 MB Max Memory Used: 21 MB 

The preceding log shows the memory that's allocated and used for a given request. Those values can be extracted with a simple CloudWatch log metric filter. This feature enables you to search for specific keywords in your logs.

Open the AWS CloudWatch console and select Log Groups from the navigation pane. Next, search for the log group associated...