Learning GitHub Actions for DevOps CI/CD - Continuous Deployment Workflow to Deploy to Azure App Service

This video tutorial covers the process of setting up continuous deployment for a .NET application using Azure App Service and GitHub Actions. It includes steps for configuring the Azure environment, creating a CI/CD workflow, and deploying to both development and production environments. The tutorial also addresses troubleshooting workflow errors and implementing protection rules for production deployment.

What is the primary goal of continuous deployment?

• To ensure code is only deployed on local servers

• To automate the build and test processes before deployment

• To manually test code before deployment

• To deploy code without any testing

Which platform is used for deploying the .NET application in this tutorial?

• Heroku

• Azure App Service

• Google Cloud Functions

• AWS Lambda

What tool is recommended for deploying Azure App Service as infrastructure as code?

• Ansible

• Bicep

• Terraform

• Chef

What is the purpose of using GitHub Actions in this context?

• To manually deploy applications

• To automate the CI/CD process

• To write code in a different language

• To create a new Azure App Service

What is a key modification needed in the GitHub workflow for it to work correctly?

• Changing the operating system

• Setting the correct .NET version

• Adding a new programming language

• Removing all permissions

What is the role of a publish profile in Azure deployments?

• To manage database connections

• To store application logs

• To provide user interface themes

• To securely deploy code to Azure Web App

Why is it important to create secrets in the GitHub workflow?

• To increase the deployment speed

• To securely manage sensitive information

• To enhance the visual appearance

• To store public information

What is the significance of deploying to multiple environments?

• To test different versions of the application

• To ensure code works in both development and production

• To reduce the number of servers needed

• To increase the complexity of the deployment process

What is a protection rule in the context of production deployments?

• A rule to increase server capacity

• A rule to automate testing

• A rule to ensure code is reviewed before deployment

• A rule to prevent code changes

What change is reflected in the application after a successful deployment?

• The application remains unchanged

• The application reverts to an older version

• The application displays a new message

• The application crashes