Build and deploy a Flask application on Google Cloud Run - Part 2 - Deploy a Python service
This video shows you all the steps on how to package a full Flask application into a container image and then deploy the container image to Cloud Run. We are going to deploy the application using Cloud Shell.
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📝 Useful notes:
Google's official guide: https://cloud.google.com/run/docs/qui...
Python versions supported by Docker: https://hub.docker.com/_/python
👨💻 Source code:
Copy the following code in Dockerfile
```
Use the official lightweight Python image.
https://hub.docker.com/_/python
FROM python:3
Allow statements and log messages to immediately appear in the Knative logs
ENV PYTHONUNBUFFERED True
Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./
Install production dependencies.
RUN pip install -r requirements.txt
RUN pip install gunicorn
Run the web service on container startup. Here we use the gunicorn
webserver, with one worker process and 8 threads.
For environments with multiple CPU cores, increase the number of workers
to be equal to the cores available.
Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 comfort:app
```
🎥 Content of this video:
00:00 - What you will learn
02:15 - Overview of the Flask application
03:40 - Run Flask application locally
04:45 - Dockerfile file
10:00 - .dockerginore file
12:00 - Push changes to GitHub
15:41 - Clone code in Google Cloud Shell
19:05 - Deploy Flask app to Google Cloud Run
22:20 - Update the Flask application
🔣 Keywords:
#Python #CloudRun #Docker #Flask #WebDevelopment #WebApplication #GoogleCLoudConsole