Previous Serverless Version 0.5.x VS LocalStack

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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.

Later you can use any S3 compatible storage because the code I write will still work, but for testing purposes on my local machine, I will use LocalStack:

Acesse o site da LocalStack e faça login.

To give this a slightly different spin:

--> "The best optimization is simply not spinning things up."

At least for local development and testing, as made possible by LocalStack (https://localstack.cloud), among other local testing solutions and emulators.

We've seen so many teams fall into the trap of "someone forgot to shut down dev resource X for a week and now we've racked up a $$$ bill on AWS".

What is everyone's strategy to avoid this kind of situation? Tools like `aws-nuke` (https://github.com/rebuy-de/aws-nuke) are awesome (!) to clean up unused resources, but frankly they should not be necessary in the first place.

(For others who hadn't heard of it: localstack is

LocalStack Website

O Localstack: https://localstack.cloud/, é um recurso que possibilita simular diversos recursos AWS (dynamoDB, s3, iam, cognito, ses), dentro da sua máquina, utilizando o docker.