Heroku#

Heroku makes deployment of arbitrary apps including Panel apps and dashboards very easy and provides a free tier to get you started. This makes it a great starting point for users not too familiar with web development and deployment.

To get started working with Heroku signup for a free account and download and install the CLI. Once you are set up follow the instructions to log into the CLI.

  1. Create a new Git repo (or to follow along clone the minimal-heroku-demo GitHub repo)

  2. Add a Jupyter notebook or Python script which declares a Panel app or dashboard to the repository.

  3. Define a requirements.txt containing all the requirements for your app (including Panel itself). For the sample app the requirements are as minimal as:

panel
hvplot
scikit-learn

  1. Define a Procfile which declares the command Heroku should run to serve the app. In the sample app the following command serves the iris_kmeans.ipynb example. The websocket origin should match the name of the app on Heroku app-name.herokuapp.com which you will declare in the next step:

web: panel serve --address="0.0.0.0" --port=$PORT iris_kmeans.ipynb --allow-websocket-origin=app-name.herokuapp.com

  1. Create a Heroku app using the CLI ensuring that the name matches the URL we declared in the previous step:

heroku create app-name

  1. Push the app to heroku and wait until it is deployed.

  2. Visit the app at app-name.herokuapp.com

Once you have deployed the app you might find that if your app is visited by more than one user at a time it will become unresponsive. In this case you can use the Heroku CLI to scale your deployment.

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