serverless-graphql VS Previous Serverless Version 0.5.x

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

Github | Website

i deployed a lambda and http api gateway using a serverless.com (sls) template as a start. I get the following error when it processes a specific request:

Have you tried serverless.com ? It lets you have infrastructure as code.

- With Lambda, you manage creating and building the container yourself, as well as updating the Lambda function code. There are tools out there such as sst or serverless.com which help streamline this.

If you'd like to use Lambda, usually you need to engineer FOR it, from day one, you don't (often) get to choose some other framework and shoehorn it into Lambda and Serverless. There's some great frameworks to help deploy code into Lambda easily and create REST endpoints for things, one such frameworks is serverless.com that helps easily deploy to it, but it lacks a framework for doing REST that also supports local emulation (as easily). For that, I recommend a framework by AWS called Chalice. This is an amazing REST framework that runs a proxy that works locally and deploys exactly the same on Lambda, it is Python however.

I use serverless.com for AWS stuff.

After knocking out a README with a set of goals and a list of TODOs to check off as I made progress, I spent about 10 hours over a weekend trying to get something to work. I used serverless for making Lambda easier, Github Actions for the deploy pipeline and store my credentials; and sadly I rolled my own access_token refresh logic because I couldn't find a helper that just did that for me! wtf!?

Does everyone who uses Workers just use wrangler cli and the cloudflare console UI for everything or is anyone using other tools like serverless framework (https://serverless.com) instead? Looks like they added some support for cloudflare but haven't tried it yet.