A lot of technical terms in the name of the article, right? Let's dive into it!
Why Azure Function App?
It is not a serious question! Azure Function App is a fantastic serverless infrastructure that allows you to execute your code within a secure environment.
What if you need to perform a maintenance task by schedule? Or execute a PowerShell script within your Azure subscripton to perform a specific operation?
Azure Function App might perform it for you!
There are challenges, of course. This article explains how to overcome them and have an automated pipeline that creates infrastructure and then builds and deploys Azure Function to the correct place!
Why private VNET?
That is the weirdest part. However, some companies prohibit the use of any Azure service with a publicly accessible interface!
There will be more on that later in this article.
Why Flex Consimption?
Microsoft provides several plans for the Azure Function Apps. They are reasonable.
If you have heavy traffic and a lot of executions, your choice is the Premium Plan: about $200 per month...
What if you need to execute your function only several times per day?
So, with all possible options, we don't have a choice. Only Flex Consumption costs about $3 a month (with less than 1000 executions, remember?) And a Flex Consumption Plan-based App might be integrated into a VNET.
Some technical internals of Azure Function App
To explain the challenge, I need to surface several technical details. Azure Function App is not exactly a separate service.
The usual Azure Function App has to use other Azure services. Some of them are optional, and some of them are mandatory.
Having an Azure Storage Account is a must. The Azure Function App uses the Storage Account to store the Azure Function Code. However, Azure Storage Account is a publicly available service!
The Function App must be able to access the green circle on the next schema. But that means absolutely everyone (who has the permission, of course) can access it too!
If we need to comply with the company's policy, we must turn off that green public interface of the Storage Account.
But how does the Azure Function App reach the Storage Account for the function code?
We should use a private VNET! That means a lot of things:
- we should create Storage Account private endpoints for both Blob and File services;
- we should integrate Azure Function App with one of the subnets in private VNET;
- we should create DNS zone and DNS names that would allow Azure Function App to find out the private IP addresses of the Storage Account services;
- we should provide Azure Function App with the correct DEPLOYMENT_STORAGE_CONNECTION_STRING;
- we should allow Azure Function App identity to access the Storage Account.
More details you can find in the official Microsoft document How to use a secured storage account with Azure Functions
GitLab pipeline
A lot of technical things that must be performed for every Azure Function App deployment... So, that must be automated!
Here is my GitLab project that deploys an Azure Function App based on the Consumption Flex plan: azure-function-app
The pipeline first creates infrastructure according to all the steps mentioned above. Then, the pipeline deploys the code of the Azure Function to the infrastructure created on the first step.
The same pipeline supports two environments: DEV and PROD. The plan is to push all changes to the dev or dev_bicep branches to the DEV environment. Any changes made to the main branch will then be sent automatically to both the DEV and PROD environments.
You might find more details in the pipeline definition and the projects README.md file.
BTW, this pipeline does not use secrets. The authentication is based on OIDC (Open ID Connect). I have written an article that provides a detailed explanation of this method: GitLab, Azure, OpenTofu, and NO secrets!.
Why was this article written?
I tried to automate the Azure Function App (Flex Consumption Plan) deployment behind firewalls using Terraform, and I failed.
As of November 2024, Terraform providers don't support subnet integration with the Azure Function App based on the Flex Consumption Plan.
You can find my Terraform-based failing deployment in the dev branch of azure-function-app project.
I really prefer to use Terraform, and as soon as it supports Flex Consumption network integration, I will try to revive this project.
So, Terraform fails. But you can set up that Azure Function App configuration manually via the Portal. This implies that either the ARM Template or Bicep should function properly. I took the Microsoft Official Bicep Template, modified it to support network integration, and here it is, up and running.
As a result, I spent so many hours setting everything up, so I decided to share the findings and working example.
Questions, suggestions...
As you may have noticed, there are numerous areas for improvement. Or I could make a mistake that slipped out of my consciousness.
Please feel free to ask questions or share your suggestions. In fact, I need your feedback to understand where to dig next!
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