Build and deploy a Flask application on Google Cloud Run - Part 2 - Deploy a Python service
11.8 هزار بار بازدید -
3 سال پیش
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This video shows you all
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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➜ Building a documentation website with Docusaurus:
Docusaurus
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➜ Why you should start using LaTeX now!!: 10 Reasons Why You Should Start Using...
✅ Let's connect:
🌍 My website - https://federicotartarini.github.io/
💻 GitHub - https://github.com/FedericoTartarini
Twitter - Twitter: FedericoTartar1
LinkedIn – LinkedIn: federico-tartarini
📝 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
✅ Subscribe for more videos like this one
🔔 Click on the bell icon to be notified when I release a new video
👍 Please like my video!
⚠️ Join my channel to get access to perks: @federicotartarini
🙏 Support my channel on Patreon at Patreon: federicotartarini
☕ Support my channel by buying me a coffee - https://www.buymeacoffee.com/FedericoT
🎥 Playlists you may find useful:
➜ Beamer LaTeX course:
LaTeX Beamer
➜ Full LaTeX course:
LaTeX
➜ PyCharm course:
PyCharm
➜ Building a documentation website with Docusaurus:
Docusaurus
🎥 Videos you may find useful:
➜ Build and deploy a documentation website using Docusaurus 2: Build and deploy a documentation webs...
➜ Add a glossary to your document containing terms and acronyms: Add a glossary to your document conta...
➜ Write a paper using the Elsevier template: How to Get Started and Write a Paper ...
➜ Overleaf and GitHub integration: Overleaf and GitHub integration - syn...
➜ Review a document in Overleaf: Review a document in Overleaf
➜ Export citations from Mendeley into LaTeX: Export citations from Mendeley into L...
➜ Pandas DataFrame to LaTeX table: Pandas DataFrame to LaTeX table - LaT...
➜ How to use git and GitHub with PyCharm: How to use git and GitHub with PyChar...
➜ Use Grammarly in Overleaf ✍️: Use Grammarly in Overleaf ✍️
➜ TeXiFy - PyCharm IntelliJ LaTeX plug-in: TeXiFy - PyCharm IntelliJ LaTeX plug-...
➜ Nomenclature in LaTeX document: Nomenclature in LaTeX document - all ...
➜ Why you should start using LaTeX now!!: 10 Reasons Why You Should Start Using...
✅ Let's connect:
🌍 My website - https://federicotartarini.github.io/
💻 GitHub - https://github.com/FedericoTartarini
Twitter - Twitter: FedericoTartar1
LinkedIn – LinkedIn: federico-tartarini
📝 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
3 سال پیش
در تاریخ 1400/01/21 منتشر شده
است.
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