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)

Setting up DynamoDB

DynamoDB is an AWS NoSQL database. It's a managed AWS service that allows you to store and retrieve data at scale without managing or maintaining a database server.

You need to understand a few key concepts about DynamoDB before digging into its integration with AWS Lambda:

  • Structure and Design:
    • Table: This is a set of items (rows) where each item is a set of attributes (columns) and values.
    • Partition key: This is also called a hash key. It's a unique ID used by DynamoDB to determine the partition (physical location) in which the item can be found (read operation) or will be stored (write operation). A sort key might be used to order/sort items in the same partition.
    • Index: Similar to relational databases, indexes are used to speed up queries. In DynamoDB, two types of indexes can be created:
      • Global Secondary Index (GSI)
      • Local Secondary Index...