Serverless-Boilerplate-Express-TypeScript VS serverless-graphql

You can find more details in my open source boilerplate: https://github.com/ixartz/Serverless-Boilerplate-Express-TypeScript where I'm using TypeScript.

You can check out the GitHub repo for more details at: Node.js Boilerplate with Serverless and Prisma

Here is the link to the Node.js Boilerplate code: https://github.com/ixartz/Serverless-Boilerplate-Express-TypeScript

You can checkout the Serverless Boilerplate Typescript GitHub repo.

As you might know, AWS has recently announced AWS Lambda Function URLs. This is a new feature that allows you to deploy your lambda behind a HTTPS endpoint without API Gateway. So, no need to set up a API gateway with related cost associated to it or add complexity to your serverless architecture for a single lambda function. I'm the author of a Serverless Boilerplate Template that uses Express.js with AWS Lambda. Usually, I got a lot of questions on why I add Express.js to my boilerplate code. Indeed, adding Express.js with API Gateway is redundant and it's not necessary. It'll increase the deployed package size. Now with Lambda Function URLs, you don't need an API Gateway all the time. Without API gateway, all HTTP requests are sending to one lambda function. That means you need a Web framework to handle the request like Express.js. To be clear and avoid any confusion, API gateway is still a solution. But, based on your context and your needs, you can choose to use Lambda Function URLs and remove the API gateway. In the past, a lot of people were suggesting me to remove Express.js from my starter code. Now with Lambda Function, I'm not sure if it's a good idea to remove it from your boilerplate code. What is your thoughts on this?

Since then, the ecosystem has changed. Using the Serverless Framework makes deployment simpler. We released the managed Tracetest App making any serverless-based systems simpler to instrument and test. You can now test public-facing apps with no infra overhead!

We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100’s of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!

When we think about AWS serverless service, the first thing that comes to our mind is Lambda function. Yes, the quickest way to deploy this backend Express JS app to AWS is to deploy it as a Lambda function. The easiest way is using Serverless Framework.

Serverless Framework: https://www.serverless.com/

Github | Website

In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints.

Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.

1 - Serverless + AWS CDK + Lift: An integration that amps up the traditional Serverless Framework with Lift's static frontend construct and CDK's robust infra definition.

It's a bit easier in Python if you use tools like https://www.serverless.com/. I'm not sure if Rust has something similar yet.

Serverless