Deploy a Streamlit application on Google Cloud Run - all you need to know

Deploy a Streamlit application on Google Cloud Run - all you need to know

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Deploy a Streamlit application on Google Cloud Run - all you need to know
In this video, I will show you how to deploy your Streamlit application on Google Cloud Run for free. Google Cloud Run allows you to run your application as a stateless container in a fully managed environment. This means you can run your application at scale without having to manage servers or infrastructure. I will guide you through the process of setting up a project on the Google Cloud Platform, building a Docker container for your Streamlit application, and deploying it to Google Cloud Run. By the end of this video, you will have a fully deployed Streamlit application running on Google Cloud Run. ✅ 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: https://www.youtube.com/channel/UCRjhrVMfeAurqHm4BnTNgyw/join 🙏 Support my channel on Patreon at https://www.patreon.com/federicotartarini ☕ Support my channel by buying me a coffee - https://www.buymeacoffee.com/FedericoT ✅ Let's connect: 🌍 My website - https://federicotartarini.github.io/ 💻 GitHub - https://github.com/FedericoTartarini Twitter - https://twitter.com/FedericoTartar1 LinkedIn – https://www.linkedin.com/in/federico-tartarini/ 📝 Useful notes: https://docs.streamlit.io/en/stable/tutorial/create_a_data_explorer_app.html 👨‍💻 Source code: https://github.com/FedericoTartarini/streamlit-cloud-run-youtube.git 🎥 Content of this video: 00:00 - What you will learn 00:30 - Advantages of Google Cloud Run 01:40 - What is Streamlit 02:50 - Google Cloud SDK 03:25 - Create Stremlit project 05:50 - Install dependencies 08:20 - Run application locally 10:00 - Dockerfile 12:30 - How to build and deploy to Cloud Run 13:40 - Create a Project 15:10 - Build application 16:00 - Deploy the application 🔣 Keywords: #Streamlit #Python #WebApplication #DataScience #Dashboard