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Hands-On Serverless Applications with Go

Hands-On Serverless Applications with Go

By : Mohamed Labouardy
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Hands-On Serverless Applications with Go

Hands-On Serverless Applications with Go

5 (1)
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)
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Lambda pricing model

AWS Lambda shifted in the way Ops teams provision and manage their organization's infrastructure. Customers can now run their code without worrying about the underlying infrastructure while paying a low price. The first 1 million requests per month are free, and it's $0.20 per 1 million requests thereafter, so you might use Lambda's free tier indefinitely. However, intensive use cases and huge workload applications can unnecessarily cost you thousands of dollars if you don't pay extra attention to your function's resource usage and code optimization.

In order to keep your Lambda costs under control, you must understand how the Lambda pricing model works. There are three factors that determine the cost of your function:

  • Number of executions: Number of invocations; you pay $0.0000002 per request.
  • Allocated memory: The amount of RAM...
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