Deploying Your Wave App to H2O AI Cloud
- H2O AI Managed Cloud
This lesson walks through deploying a working H2O Wave app into H2O's cloud environment, picking up from the previous lesson where the app was first built. Presenter Michelle Tanco covers the extra files an app needs beyond its Python source, a requirements file and an app.toml configuration file, then demonstrates uploading through the web interface by zipping the app files and importing them under My Apps. She also shows the command line alternative, using the h2o bundle import command, and explains how to control whether an app stays private or is published for all users.
Key takeaways
- What files a Wave app needs beyond its source code, a requirements file and an app.toml configuration file
- How to upload a Wave app through the user interface by zipping source files and importing them under My Apps
- How to publish a Wave app from the command line using the h2o bundle import command
- The difference between keeping an app private for testing and publishing it for all users in the App Store
- Why app.toml controls how the app is presented to end users, including its title and sign in requirements
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