This repo aimed to build an alternative version for AWS Lambda Hosting. It is a simple and lightweight serverless framework that allows you to run your code without provisioning or managing servers. It is a great way to build serverless applications and microservices.

This project replicates the Hosting of AWS Lambda with Python and FastAPI. For more information about AWS Lambda, you can visit here.

• Supports serverless functions in Python
• Run all functions locally
• Allows user to deploy new function while not interrupting the existing ones
• Allows install new dependencies without rebuilding the image

Before starting, you need to copy the .env.example file to .env and fill in the required environment variables.

cp .env.example .env

1. Docker

   To run the application, you need to have Docker and installed on your machine. You can install Docker from here.

docker build -t custom-lambda .
docker run -d -p 9999:9999 custom-lambda

2. Docker Compose

   You can install Docker Compose from here. Then, you can run the following command to build and run the application:

docker-compose up --build -d

3. Pure Python

   You can also run the application without Docker. You need to have Python 3.8 or later installed on your machine. Then, you can run the following command to install the dependencies and run the application:

pip install -r requirements.txt
uvicorn app:app --host 127.0.0.1 --port 9999

You can call bash script from test directory to test the application.

Visit http://localhost:9999/docs to see the API documentation.

v1.0.0:

• Allow user to CREATE invokee function in Python
• Uers can EXECUTE the function
• Users can GET all functions, GET a function by its name
• Users can MODIFY existing functions and DELETE a function
• Functions is stored distributedly in the file system
• Added logging for each function

v1.0.1 (Upcoming):

• In-app package installation (through pip)
• Add Timeout and Memory Limit for each function
• Limit file size for each function
• Add simple UI for the application

v1.0.2 (Upcoming):

• Separate function uploading and function executing channels
• Separate dependency for each function
• Add support for other languages