Flask App Deployment with Continuous Integration on Azure DevOps

 Deploying a Flask application manually can be time-consuming and error-prone, especially as your team grows and updates become frequent. That’s where Continuous Integration (CI) comes into play. With Azure DevOps, you can automate the build, test, and deployment process of your Flask app, ensuring every change pushed to the repository is verified and deployed consistently.

In this blog, we’ll walk you through how to set up a CI pipeline to deploy a Flask application on Azure using Azure DevOps Pipelines.


Why Use Azure DevOps for Flask CI?

Azure DevOps is a comprehensive DevOps platform by Microsoft that supports:

Git-based source control

Pipelines for CI/CD

Project tracking and collaboration tools

Seamless integration with Azure Cloud and other services

By using Azure Pipelines for your Flask app, you can ensure every commit triggers automated builds, tests, and deployments, reducing the chance of bugs reaching production.


Step 1: Prepare Your Flask App for CI/CD

Let’s assume your project has the following structure:


flask-ci-app/

│

├── app.py

├── requirements.txt

├── tests/

│   └── test_basic.py

└── azure-pipelines.yml

Make sure you have a requirements.txt and a test folder with some basic unit tests using pytest.


Step 2: Create a Repository in Azure DevOps

Go to https://dev.azure.com and sign in.

Create a new project and then a new repository.

Push your Flask code to the Azure DevOps repo.


bash


git remote add origin https://dev.azure.com/your-org/project/_git/repo

git push -u origin master


Step 3: Create the Azure Pipeline YAML

Inside your Flask project directory, create a file named azure-pipelines.yml:


yaml

Copy

Edit

trigger:

  - master


pool:

  vmImage: 'ubuntu-latest'


steps:

  - task: UsePythonVersion@0

    inputs:

      versionSpec: '3.x'

      addToPath: true


  - script: |

      python -m pip install --upgrade pip

      pip install -r requirements.txt

      pip install pytest

    displayName: 'Install dependencies'


  - script: |

      pytest tests/

    displayName: 'Run tests'


  - task: CopyFiles@2

    inputs:

      SourceFolder: '.'

      Contents: '**'

      TargetFolder: '$(Build.ArtifactStagingDirectory)'


  - task: PublishBuildArtifacts@1

    inputs:

      PathtoPublish: '$(Build.ArtifactStagingDirectory)'

      ArtifactName: 'flaskapp'


This pipeline:

Triggers on code push to master

Installs Python and dependencies

Runs your unit tests

Publishes build artifacts


Step 4: Set Up Deployment (CD)

You can now configure a release pipeline in Azure DevOps to deploy your Flask app to an Azure App Service:

Go to Pipelines > Releases and create a new release pipeline.

Add an Azure App Service deploy task.

Link the artifact published by the build pipeline.

Configure deployment details (App Service name, Resource Group, etc.)

You can also add approvals and gates for production deployments.


Benefits of Using CI with Azure DevOps

✅ Automated Testing – Catch bugs early with every commit

✅ Fast & Reliable Deployments – No more manual FTP uploads

✅ Scalable for Teams – Multiple developers can work without deployment conflicts

✅ Integrated Tools – Boards, Repos, and Pipelines in one place


Conclusion

Setting up CI with Azure DevOps for your Flask app brings automation, speed, and confidence to your development workflow. With just a YAML file and a few configuration steps, your app can move from code to production in a reliable, repeatable, and testable process. For Flask developers aiming to deploy with professionalism and scalability, Azure DevOps offers a powerful and integrated solution.

Learn FullStack Python Training

Read More : Fullstack Python: Setting Up Cloud Storage for Flask Applications on S3

Read More : Fullstack Flask: Building and Deploying APIs on Cloud with Docker

Read More : Fullstack Flask Deployment: Setting Up Continuous Delivery on AWS with CodePipeline

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