Serverless
To be as portable as possible, even with severless, we use serverless framework. It allows us to deploy our functions across multiple clouds like AWS, GCP, Azure and IBM OpenWisk.
Setup & Installation
Make sure you have your Developer Environment Setup
In your repo create your serverless template for Python
Compile non-pure Python modules (e.g. C?)
To compile non-pure Python modules, install Docker, the Lambda Docker Image and serverless-python-requirements . Enable dockerizePip in serverless.yml and serverless deploy
again.
To configure our serverless.yml
file to use the plugin, we'll add the following lines in our serverless.yml
:
Implementation
Create virtual env local, activate and deactivate
Install python dependency for this function:
Store a reference to my dependencies:
Optional: Re-install the dependencies from the requirements.txt
:
Implement the function
Define the function in the
serverless.yml
including the events (e.g. http) that trigger the function and the handlerImplement the unit test: what is the best serverless unit test framework for python?
Implement the handler function in
handler.py
Test the function locally
Run the unit tests
Protect Endpoint with API Key
Examples
Deployment
Deploy a project
The deployment takes very long. I have to see how to optimize this.
Test the deployed function
Or you can use the CLI and use:
Deploy single function
Sources:
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