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In this sample web application, you will create a Python web application using Flask. This application contains an opinionated set of files for web serving:
public/index.html
public/404.html
public/500.html
You can deploy this application to IBM Cloud or build it locally by cloning this repo first. Once your app is live, you can access the /health
endpoint to build out your cloud native application.
Click Deploy to IBM Cloud to deploy this same application to IBM Cloud. This option creates a deployment pipeline, complete with a hosted GitLab project and a DevOps toolchain. You can deploy your app to Cloud Foundry, a Kubernetes cluster, or a Red Hat OpenShift cluster. OpenShift is available only through a standard cluster, which requires you to have a billable account.
IBM Cloud DevOps services provides toolchains as a set of tool integrations that support development, deployment, and operations tasks inside IBM Cloud.
To get started building this application locally, you can either run the application natively or use the IBM Cloud Developer Tools for containerization and easy deployment to IBM Cloud.
- Install Python
Running Flask applications has been simplified with a manage.py
file to avoid dealing with configuring environment variables to run your app. From your project root, you can download the project dependencies with:
pip install -r requirements.txt
To run your application locally:
python manage.py start
manage.py
offers a variety of different run commands to match the proper situation:
start
: starts a server in a production setting usinggunicorn
.run
: starts a native Flask development server. This includes backend reloading upon file saves and the Werkzeug stack-trace debugger for diagnosing runtime failures in-browser.livereload
: starts a development server via thelivereload
package. This includes backend reloading as well as dynamic frontend browser reloading. The Werkzeug stack-trace debugger will be disabled, so this is only recommended when working on frontend development.debug
: starts a native Flask development server, but with the native reloader/tracer disabled. This leaves the debug port exposed to be attached to an IDE (such as PyCharm'sAttach to Local Process
).
There are also a few utility commands:
build
: compiles.py
files within the project directory into.pyc
filestest
: runs all unit tests inside of the project'stest
directory
Your application is running at: http://localhost:3000/
in your browser.
- Health endpoint:
/health
There are two different options for debugging a Flask project:
- Run
python manage.py runserver
to start a native Flask development server. This comes with the Werkzeug stack-trace debugger, which will present runtime failure stack-traces in-browser with the ability to inspect objects at any point in the trace. For more information, see Werkzeug documentation. - Run
python manage.py debug
to run a Flask development server with debug exposed, but the native debugger/reloader turned off. This grants access for an IDE to attach itself to the process (i.e. in PyCharm, useRun
->Attach to Local Process
).
Install IBM Cloud Developer Tools on your machine by running the following command:
curl -sL https://ibm.biz/idt-installer | bash
Create an application on IBM Cloud by running:
ibmcloud dev create
This will create and download a starter application with the necessary files needed for local development and deployment.
Your application will be compiled with Docker containers. To compile and run your app, run:
ibmcloud dev build
ibmcloud dev run
This will launch your application locally. When you are ready to deploy to IBM Cloud on Cloud Foundry or Kubernetes, run one of the commands:
ibmcloud dev deploy -t buildpack // to Cloud Foundry
ibmcloud dev deploy -t container // to K8s cluster
You can build and debug your app locally with:
ibmcloud dev build --debug
ibmcloud dev debug
- Learn more about the services and capabilities of IBM Cloud.
- Explore other sample applications on IBM Cloud.
This sample application is licensed under the Apache License, Version 2. Separate third-party code objects invoked within this code pattern are licensed by their respective providers pursuant to their own separate licenses. Contributions are subject to the Developer Certificate of Origin, Version 1.1 and the Apache License, Version 2.