Flask App Deployment with Continuous Integration on Azure DevOps

In the world of modern software development, continuous integration (CI) plays a vital role in improving code quality, reducing bugs, and accelerating delivery. For Flask developers, setting up CI with automated deployment can save hours of manual effort and ensure a smoother path from code to cloud. Azure DevOps offers a robust set of tools to automate builds, tests, and deployments for Flask applications.

In this blog, we'll walk through how to deploy a Flask app with a CI pipeline using Azure DevOps, helping fullstack Python developers bring their apps to production efficiently.


Why Use Azure DevOps?

Azure DevOps provides a complete DevOps lifecycle platform with features like:

Azure Repos for source code management

Azure Pipelines for continuous integration and deployment

Environment management with approvals and gates

Cloud integration with Azure App Services, VMs, or Kubernetes

This makes it an excellent choice for Python developers who want an all-in-one platform to manage their application lifecycle.


Step 1: Prepare Your Flask App

Create a basic Flask app (e.g., app.py) and requirements file:

python


from flask import Flask

app = Flask(__name__)


@app.route('/')

def home():

    return 'Hello from Flask on Azure!'


if __name__ == '__main__':

    app.run()

requirements.txt:


nginx

Copy

Edit

flask

Push your code to a Git repository in Azure Repos or GitHub.


Step 2: Set Up Azure Pipeline for CI

Go to your Azure DevOps project.

Navigate to Pipelines > Create Pipeline.

Select your repository source (Azure Repos or GitHub).

Choose to configure the pipeline using YAML.

Here’s a sample azure-pipelines.yml:


yaml


trigger:

- main


pool:

  vmImage: 'ubuntu-latest'


steps:

- task: UsePythonVersion@0

  inputs:

    versionSpec: '3.10'

    addToPath: true


- script: |

    python -m pip install --upgrade pip

    pip install -r requirements.txt

    python -m unittest discover

  displayName: 'Install dependencies and run tests'

This pipeline installs dependencies and runs your unit tests whenever you push to the main branch.


Step 3: Add Deployment to Azure App Service

To automate deployment:

Set up an Azure App Service and get your deployment credentials.

Add the App Service publish profile as a secure file in Azure DevOps.

Modify your pipeline to include a deployment step:


yaml


- task: AzureWebApp@1

  inputs:

    azureSubscription: '<Azure Connection Name>'

    appName: '<Your App Service Name>'

    package: '$(System.DefaultWorkingDirectory)'

You can also use GitHub Actions or FTP deployment, but AzureWebApp task integrates seamlessly with Azure services.


Step 4: Monitor and Improve

After deployment:

Use Azure App Service diagnostics to monitor performance.

Add test stages, linting (with flake8), and approval gates for production environments.


Benefits of CI with Azure DevOps

Automation: No more manual deployment headaches.

Testing: Catch bugs early with automated test execution.

Speed: Faster development cycles with consistent builds.

Scalability: Easily scale to staging, QA, and production environments.


Final Thoughts

Deploying a Flask app with continuous integration on Azure DevOps brings structure, speed, and confidence to your development workflow. Whether you’re working solo or with a team, CI/CD ensures that your code is tested, integrated, and deployed reliably—every single time.

Learn FullStack Python Training Course

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 Python: Automating Cloud Deployments with Terraform

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