Your Resume API on Azure Serverless

Create an API with Azure Function that displays your resume information in json.

Architecture

• GitHub for Version control.
• GitHub Actions for CI/CD pipeline.
• Azure Functions to deploy our API.
• Azure Blob Storage to store our resume.
• .NET 6 as our programming framework for our API.
• Optional: GitHub Codespaces as our development environment.
• Bicep for our Infrastructure as Code.

You'll need

• Azure account
• GitHub account
• I've provided a sample .json file based on the Json resume

For local developer environment

• VS Code
• Docker
• VS Code Dev Container Extension

NOTE At the moment, GitHub Free for personal accounts comes with 15 GB of Codespaces storage and 120 Core hours per month. Read more about pricing here

How to get started

Get the code and environment

1. Fork the repository so you can have your own copy of it.
2. FOR CLOUDSPACES: Click on the Code button, click on Codespaces tab, and click on Create Codespaces on main. I've provided a devcontainer.json file with the configuration needed for this project.
3. Once your Codespace has loaded, in the Explorer, expand the src folder and rename local.settings.sample.json to local.settings.json
4. FOR LOCAL DEV: Clone the code, open it with VS Code and Launch in the dev container. More info here

Authenticate your Environment with Azure

1. In the Terminal, type az login --use-device-code to log into your Azure account from the az cli in your Codespace.
2. In the Terminal, type az account list --output table to get a list of Azure subscriptions you have available to you and make note of the name you want to use.
3. In the Terminal, type az account set --name "name-of-subscription" with the name of the subscription you want to use.
4. In the Terminal, type az account show and make sure it's set to the subscription you want to work in.

Provision resources in Azure

NOTE: I've set the resource group name to be rg-serverlessresumeapi

1. I've provided Infrastructure as Code (IaC) files, you can find them in the infra folder. Now we need to use those files to create a deployment in Azure, in the Terminal, type:

   az deployment sub create --template-file ./infra/main.bicep -l <your-region>   

2. In the Terminal, run the following command to get the values for your storage account name and function app name:

   az deployment group show -g rg-serverlessresumeapi -n resources --query properties.outputs 

3. Upload myresume.json to that newly created blob container.

   az storage blob upload --account-name <storage-account-name> --container-name resume --name myresume.json --file myresume.json 

4. In your local.settings.json add the Storage Account Connection String to the AzureWebJobsStorage value. You can get that value by running this command:

   az storage account show-connection-string --name MyStorageAccount --resource-group rg-serverlessresumeapi   

5. You can now run and debug (F5) your Function in your environment

Configure CI/CD with GitHub actions

1. We'll need to get our Function's Publish Profile, run:

   az functionapp deployment list-publishing-profiles --name {function-name} --resource-group rg-serverlessresumeapi --xml

2. In your GitHub repo, create a secret named AZURE_FUNCTIONAPP_PUBLISH_PROFILE with the contents of your publish profile.
3. Head to Actions tab on your Repo and manually run the workflow.
4. Once it's complete. Visit Azure, select resource groups. find rg-serverlessresumeapi, and click on the function app, then click on the url, add getresume to the end of it, your resume info will be displayed.