aws-lambda-web-adapter VS LocalStack

In the next part of the series I'll make the introduction to the AWS Lambda Web Adapter and explain how our Serverless Spring Boot application on AWS can make use of it.

Lambda Web Adapter (LWA) is an open-source project that enables running Web apps on Lambda functions without the need to change or adapt the code.

Thanks to the AWS Lambda Web Adapter, the application built as a (good old) REST/HTTP API using a familiar library (in this case, Gin.

Using the excellent Lambda web adapter extension with a container, you can very easily move a function from Lambda to Fargate or Apprunner if cost becomes an issue. This optionality is of high value, and shouldn't be overlooked.

We will use AWS Lambda Web Adapter to run our Node.js Application on AWS Lambda.

For such frameworks, I would look at Lambda Web Adapter (https://github.com/awslabs/aws-lambda-web-adapter/tree/main/examples). Both frameworks have specific examples for them that allow for the execution of those within a Lambda context with few, if any, code changes. For spring, specifically, using Lambda Snapstart can significantly improve cold-start performance. You can read more about Java and Spring framework in this blog post that contains also a code example https://aws.amazon.com/blogs/compute/reducing-java-cold-starts-on-aws-lambda-functions-with-snapstart/ With regards to Flask, you can also use a project like: https://pypi.org/project/flask-lambda/

With the lambda web adapter[1], you shouldn't need to make any code changes for web projects, just some dockerfile changes which are only used if it is running as a lambda, so the same container image should still work on ecs or another cloud. [1]https://github.com/awslabs/aws-lambda-web-adapter

Additionally, there is this tool you can use to use the same image in a lambda and any other container runtime. https://github.com/awslabs/aws-lambda-web-adapter

You can point your platform team to this: https://github.com/awslabs/aws-lambda-web-adapter , which they can use to get your service running in Lambda.

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.