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docs/tutorial/deploy_heroku.rst
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@ -2,23 +2,23 @@ Heroku Deployment
=================
During and after developing your application, you'll want to make it available
publicly to other users. When you're developing locally, you're using the
built-in development server, debugger, and reloader. These should not be
publicly to other users. When you're developing locally, you're using the
built-in development server, debugger, and reloader. These should not be
used in production. InsteadHeroku Deployment
During and after developing your application, you'll want to make it available
publicly to other users. When you're developing locally, you're using the
built-in development server, debugger, and reloader. These should not be
used in production. Instead, you should use a dedicated server hosting platform
such as Heroku. The process of successfully hosting your application on Heroku
publicly to other users. When you're developing locally, you're using the
built-in development server, debugger, and reloader. These should not be
used in production. Instead, you should use a dedicated server hosting platform
such as Heroku. The process of successfully hosting your application on Heroku
will be outlined here.
As of November 28, 2022, Heroku has discontinued their free dyno management services
As of November 28, 2022, Heroku has discontinued their free dyno management services
for developers to host their projects. Dynos are containers provided by Heroku that
holds deployed applications. This tutorial utilizes `Gunicorn`_, a Python WSGI HTTP
Server where Heroku requires dyno hours. Please refer to `Heroku's Low Cost Dyno`_ for
more information regarding the changes Heroku's dyno management services and the current
rates to utilize their deployment services.
rates to utilize their deployment services.
.. _Gunicorn: https://gunicorn.org/
.. _Heroku's Low Cost Dyno: https://blog.heroku.com/new-low-cost-plans/
@ -29,7 +29,7 @@ Requirements
Heroku requires the application to define a set of processes before
running the environment. Because Flask is a WSGI *application*,
to deploy it, your application will require WSGI *server*. The
to deploy it, your application will require WSGI *server*. The
Gunicorn pure WSGI server is utilized as the
server for Flask applications. For a Gunicorn installation guide
visit :doc:`<../gunicorn.rst>`. This will generate ``Procfile`` in your
@ -77,10 +77,10 @@ Log into your Heroku account and locate and select the ``New`` button and select
the application is created, you'll be presented with your Heroku App home page.
Locate the ``Deployment method`` and chose the option to connect to Github. You'll
be prompted to your Github account to authorize the connection to Heroku. Now you'll
see the ``Connect to GitHub`` row. Select and connect the repository your Flask
see the ``Connect to GitHub`` row. Select and connect the repository your Flask
application is located in.
You have the choice to enable automatic deployment or to manually deploy your
You have the choice to enable automatic deployment or to manually deploy your
application. Automatic deployment will deploy the new version of your Heroku app
with every branch push the Github repository. To enable, click the ``Enable Automatic Deploys``
button. On the other hand, if you prefer manual deployment, select your branch and
@ -88,6 +88,6 @@ click the ``Deploy Branch``.
Your application will be built and if successful it will be deployed on Heroku.
Click the ``View`` button to access your newly deployed Flask application.
, you should use a dedicated server hosting platform
such as Heroku. The process of successfully hosting your application on Heroku
will be outlined here.
, you should use a dedicated server hosting platform
such as Heroku. The process of successfully hosting your application on Heroku
will be outlined here.