Session B: Professional Project Setup & MLOps Foundation Defining and tracking Project Goals Effective Git workflow (branching, pull requests) Introduction to CI/CD pipelines with GitHub Actions

Lesson Plan

1. Discuss the following as first approach on monitoring our project
2. Go through and follow the steps
   • Spend time on ci_pipeline.yalm and on how the process actually runs

📝 Note: Your public profile must be download from your azrure portal and be set as a secret variable in your github repos

• Steps
  • Go to your Azure Function App in the Azure Portal.
  • Navigate to Deployment Center > Manage publish profile.
  • Download the profile and copy its contents.
  • In GitHub, go to your repo’s Settings > Secrets and variables > Actions -> New Repository Secrets
  • Create a new secret named AZURE_FUNCTIONAPP_PUBLISH_PROFILE and paste the profile contents

🚀 Python Azure Function CI/CD Pipeline

This project sets up a CI/CD pipeline for deploying a Python-based Azure Function using GitHub Actions. The goal is to automate code checks and deployment to Azure upon each push to the main branch.

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✅ Project Goals

• Create Azure Function App

  • [✅] Set up the Function App in Azure
  • [✅] Configure Python runtime

• Initialize Git Repository

  • Add source code and config files
  • Include .gitignore for Python/Azure

• Set Up CI/CD Workflow

  • Use GitHub Actions or other CI/CD tool
  • Trigger workflow on push to main

• Add Code Quality Checks

  • Integrate flake8, black, or pylint
  • Fail pipeline if checks fail

• Run Unit Tests

  • Add test suite (pytest, unittest)
  • Run tests in CI/CD pipeline

• Deploy to Azure

  • Use azure/functions-action or Azure CLI
  • Deploy only if checks/tests pass

• Secure Secrets

  • Store credentials in GitHub Secrets
  • Use secrets in workflow securely

• Enable Monitoring

  • Configure logging in Azure
  • Optionally integrate Application Insights