Azure Pipeline Deploy Function App to Azure App Service

Deploying your Function App to Azure App Service using Azure Pipelines is a straightforward process that can be completed in a few simple steps.

First, you'll need to create a new Azure Pipeline project and add a Function App deployment task. This task allows you to deploy your Function App to a specified Azure App Service.

The Azure App Service is a fully managed platform that allows you to build, deploy, and scale web applications, and it's a great choice for hosting your Function App.

You can also specify the deployment environment, such as staging or production, to ensure that your Function App is deployed to the correct environment.

On a similar theme: Azure Devops Environment Variables

To get started with Azure Pipeline Deploy Function App, you'll need to meet some prerequisites.

You'll need an Azure account with an active subscription, which you can create for free. This will give you access to the Azure services you'll need.

To host your code, you'll also need an Azure DevOps organization, which you can create for free. This is where you'll manage your code and pipelines.

Consider reading: Azure Create New App Service

You'll need to have the ability to run pipelines on Microsoft-hosted agents, which you can either purchase a parallel job or request a free tier. This will allow you to automate your deployment process.

To deploy your Function App, you'll need a working Azure App Service app with code hosted on GitHub or Azure Repos. This is where you'll store your code and configure your pipeline.

To create a Function App, you'll need to deploy your Azure DevOps pipeline. This can be done by running a service connection in Azure, which you can set up by following the instructions in the article section about Deploy to Azure Kubernetes Service using Azure DevOps YAML Pipelines.

Your pipeline should be configured to run automatically when changes are detected on the master branch inside the AzureFunctions/OrderApi.Messaging.Receive/ folder, using the newest Ubuntu VM to run the build. This will ensure that your Function App is deployed with the latest changes.

Before deploying to Azure, make sure you have a service connection set up, as mentioned in the article section about Deploy to Azure Kubernetes Service using Azure DevOps YAML Pipelines.

Intriguing read: Azure Devops Yaml

To create a Function App, you'll need to create a basic YAML pipeline in Azure DevOps. This pipeline should restore NuGet packages, build the solution, and publish it.

You can create a basic YAML pipeline in Azure DevOps by running a pipeline that automatically detects changes on the master branch inside the AzureFunctions/OrderApi.Messaging.Receive/ folder, using the newest Ubuntu VM to run the build.

Next, you'll need to configure a couple of variables and then run the restore, build, and publish of the solution. Before you can deploy to Azure, you need a service connection, which you can set up by following the steps in the article section about deploying to Azure Kubernetes Service using Azure DevOps YAML Pipelines.

Recommended read: How to Create Azure Pipeline with Yaml

To create a stack for your Function App, you'll need to set up a pipeline. This involves adapting the instructions for your specific framework, which in this case is ASP.NET.

You can use either YAML or Classic pipelines.

Sign in to your Azure DevOps organization and navigate to your project. From there, go to Pipelines and select New Pipeline.

You'll be prompted to select the location of your source code, which can be either Azure Repos Git or GitHub. You might be redirected to GitHub to sign in, so be prepared to enter your credentials.

Select your repository from the list of options, and you might be asked to install the Azure Pipelines app. Don't worry, it's a straightforward process.

Once you've installed the app, select ASP.NET Core from the Configure tab. This will automatically add the necessary tasks to your pipeline.

Take a look at the YAML to see what it does, and when you're ready, save and run your pipeline.

The ASP.NET Core pipeline template will publish the deployment ZIP file as an Azure artifact for the deployment task later.

Here are the steps to create a pipeline and select the ASP.NET Core template:

1. Create a pipeline and select the ASP.NET Core template.

2. Save the pipeline and queue a build to see it in action.

3. The ASP.NET Core pipeline template publishes the deployment ZIP file as an Azure artifact for the deployment task later.

To link this release pipeline to the Azure artifact, select Add an artifact > Build.

A unique perspective: Azure Functions Core Tools

To set up Azure Pipelines for your Function App, you'll need to create a build pipeline. This involves navigating to Pipelines | Pipelines in the Azure DevOps portal and selecting the build definition. You can either edit the classic build definition or the YAML build pipeline, depending on your preference.

The build definition should be configured to run automatically when changes are detected in your repository. This is done by enabling the Continuous Integration trigger in the Triggers tab. Once you've made this change, save and queue the build to test the pipeline.

To deploy your Function App to Azure, you'll need to create a release pipeline. This involves selecting Releases from the left menu and creating a new pipeline. You can choose from a variety of templates, including the Azure App Service deployment template, which automatically adds the necessary tasks.

Here are the key steps to create a release pipeline:

To create the environment, you'll need to create a Free Azure subscription.

You can create a pipeline for your stack by signing in to your Azure DevOps organization and navigating to your project.

The code examples in this section assume you're deploying an ASP.NET web app, but you can adapt the instructions for other frameworks.

You can use either YAML or Classic for your pipeline, depending on your preference.

To get started, go to Pipelines and select New Pipeline.

You'll then be prompted to select the location of your source code, either Azure Repos Git or GitHub.

If you choose GitHub, you might be redirected to sign in with your credentials.

Once you've selected your repository, you might be redirected to install the Azure Pipelines app.

If so, select Approve & install to continue.

After installing the app, select ASP.NET Core from the Configure tab.

This will automatically add the tasks required to build the code in the sample repository.

You can save the pipeline and queue a build to see it in action.

Creating a YAML pipeline in Azure DevOps is a straightforward process. You can create a basic YAML pipeline where you restore NuGet packages, build the solution, and publish it.

To create a basic YAML pipeline, you can use the following template: a pipeline that runs automatically when changes are detected on the master branch inside the AzureFunctions/OrderApi.Messaging.Receive/ folder and uses the newest Ubuntu VM to run the build.

Before you can deploy to Azure, you need a service connection. You can set up a service connection by following the instructions in the article "Deploy to Azure Kubernetes Service using Azure DevOps YAML Pipelines".

To create a pipeline, select the location of your source code: either Azure Repos Git or GitHub. You might be redirected to GitHub to sign in and install the Azure Pipelines app.

Here are the steps to create a pipeline:

Note that the ASP.NET Core pipeline template publishes the deployment ZIP file as an Azure artifact for the deployment task later.

To update the settings for your Azure Function, you need to add secrets to your pipeline by using the Variables button on the right side. This allows you to store sensitive information like connection strings and passwords securely.

First, you'll need to add secret variables to your pipeline. These variables should include the Azure Service Bus Queue and database connection strings, as well as any other sensitive information your Azure Function needs to access.

You can add these variables to your pipeline by clicking the Variables button on the right side. Then, add the following variables to your pipeline:

Once you've added these variables, you'll need to update the service settings for your Azure Function. To do this, add the Azure App Service Settings task to your pipeline. This task will update the service settings with the values from your secret variables.

After updating the service settings, your Azure Function should have access to the Azure Service Bus Queue and database, and you can proceed with deploying it to Azure.

To create a variable in Azure DevOps, you can follow these steps. Select the Variable Group, and enter the group name, in this case, Release.

You can add two variables by clicking the + button, and entering the values you find in the Azure portal.

To make variable substitutions, you can create a release pipeline with two stages, and link the artifact to the build that produces the web package. Define the connectionString as a variable in each stage, and set the appropriate value.

You can also use the Azure App Service Deploy (AzureRmWebAppDeployment) task to change the connectionString by using variable substitution. Select the XML variable substitution option under File Transforms and Variable Substitution Options for the task.

Here's a step-by-step guide to creating a variable:

This process allows you to configure variables for your Azure DevOps pipeline, making it easier to manage and deploy your applications.

To check if your app is working as expected, you can use the pipeline's special job step that runs the function after deployment. This is useful for ensuring the function is working or for doing some post-deployment tasks.

The sample used in the article uses an HttpTrigger for the function, which means it can be called by an HTTP request and return a result. This is a common way to test if a function is working correctly.

After deployment, you can navigate to the Pipelines | Releases section to check the status of your release. From there, you can select the AzureFunctions_CD pipeline and click on the link to navigate to the release.

As the release is being deployed, you can watch the live logs to see the progress. Once the release is complete, you can verify that the function is working by calling it through an HTTP request.

Here's a quick checklist to help you verify your app is working:

The deployment process for Azure Function App involves several steps, including configuring continuous deployment with Azure Release Pipelines. You can deploy the Azure Function using the Deploy Azure Function task, which takes the previously created .zip file and deploys it to an existing Azure Function.

To start, navigate to Pipelines | Releases, select AzureFunctions_CD pipeline, and click Edit. Make sure the Continuous deployment trigger is enabled, and then select the artifact trigger.

When deploying the Azure Function, replace the appName with your Azure Function name, and note that the Azure Function has to exist, otherwise the task will fail. If your Azure Function runs on Windows, use functionApp as the appType.

Here are the steps to deploy using Web Deploy:

You should use the Azure Resource Manager connection type, or AzureRM, when deploying with Web Deploy.