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As you approach the end of the development phase with your Streamlit application, it is time for it to see the light for the first time. In other words, you are ready to deploy the application and share your work with the world. To do that, you will need a machine to serve your application continuously, robustly, and resiliently. While it is possible to turn your local machine into a makeshift server, you are better off deploying the application to the mighty cloud—using platforms like Amazon Web Services, Microsoft Azure, Google Cloud Platform, or, last but not least, Streamlit itself.

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Deploying Locally and to the Cloud

  • 章节

  • 发表日期：

    2025年

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  • Mohammad Khorasani,
  • Mohamed Abdou,
  • Javier Hernández Fernández

摘要

As you approach the end of the development phase with your Streamlit application, it is time for it to see the light for the first time. In other words, you are ready to deploy the application and share your work with the world. To do that, you will need a machine to serve your application continuously, robustly, and resiliently. While it is possible to turn your local machine into a makeshift server, you are better off deploying the application to the mighty cloud—using platforms like Amazon Web Services, Microsoft Azure, Google Cloud Platform, or, last but not least, Streamlit itself.