lambda-warmer-py VS serverless-graphql

I've been using FastAPI in Lambda, and it's working great, but I remember having struggled with low-performing responses, and the key was to turn off the Mangum lifespan (Mangum(app, lifespan="off")). Also, instead of using provisioned concurrency, we ended up using the old-school warming method with something like this

Provisioned concurrency isn't worth it in my experience. You can just use, say, a CloudWatch rule to ping your desired number of instances every 5-odd minutes and keep them warm. 288 pings per day for 100 instances at 100ms per instance/ping is 2,880 seconds of execution time, or 5,760 GB-seconds at 2GB RAM (1 full vCPU and a bit). At $0.0000166667 per GB-second, that's $35 a year. You could cut that in half with smarter pings than e.g. [1], but it's not worth the engineering cycles at this price.

1. Python version: https://github.com/robhowley/lambda-warmer-py

In this article, we will use Serverless Framework and Docker Desktop to deploy Dart functions to AWS Lambda. If you haven't installed them yet, please complete the installation using the following commands or links.

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.