How to Run your Azure Cloud Function Code in your PC or Hci Stack Server

It is possible to move an Azure cloud function to an HCI stack machine without using the Azure portal export feature by using the following approach:

Objective Goal :

Create a new HCI stack machine using a virtualization platform such as VMware vSphere.

Install the necessary software and dependencies on the HCI stack machine, including the Azure Functions runtime and any other libraries or modules that your cloud function relies on.

Retrieve the source code for the Azure cloud function from the Azure portal or from the source control system where the function is stored.

Copy the source code to the HCI stack machine.

Configure the function's settings and environment variables on the HCI stack machine to match those of the original cloud function.

Test the function on the HCI stack machine to ensure that it is working as expected.

Once you have confirmed that the function is working properly on the HCI stack machine, you can then deploy it to your HCI environment.

Retrieve the source code for the Azure cloud function:

From the Azure portal: Navigate to the Azure Functions app in the Azure portal, select your function, and click on the "Code + Test" tab. You will see the option to "Download" the source code for the function.

From a source control system: If your Azure cloud function is stored in a source control system such as GitHub, you can use Git or other version control tools to clone or download the source code.

Copy the source code to the HCI stack machine:

Use a file transfer protocol such as SFTP or SCP to transfer the source code from your local machine to the HCI stack machine.

Configure the function's settings and environment variables:

On the HCI stack machine, navigate to the folder where you copied the source code, and open the function's configuration file (e.g. local.settings.json or host.json).

Match the settings and environment variables to the original cloud function.

Test the function:

On the HCI stack machine, open a terminal or command prompt and navigate to the folder where you copied the source code.

Run the function locally using the Azure Functions runtime. You can test the function by sending a sample input and check the output if it matches with the expected output.

Here are some commands that can be used to set up the environment on an HCI stack machine for an Azure cloud function:

Install the Azure Functions Core Tools, which allows you to run Azure Functions locally:

npm install -g azure-functions-core-tools

Install the necessary dependencies for the function:

npm install

Create a new function app:

func init

Create a new function within the function app:

func new

Set environment variables:

export <VARIABLE_NAME>=<VARIABLE_VALUE>

Start the function:

func host start

Test the function by sending a sample input and check the output if it matches with the expected output

curl -X <HTTP_Method> -d <payload> <Function_URL>

Please note that these commands are a high-level overview and further details will depend on the specific technology stack and the resources available on your HCI stack machine.Also, note that the above commands are for a Linux environment , similar commands can be used in windows environment as well.

For C# Example

it is possible to use C# code in an Azure cloud function running on an HCI stack machine. The process for setting up the environment and running the function would be similar to what I previously described, with a few differences.

To install the Azure Functions Core Tools for C#, use the following command:

dotnet tool install --global Azure.Functions.Cli

To create a new function app and a new function, use the following commands:

func new

func new --language C# --template "HttpTrigger" --name <FunctionName>

To restore the NuGet packages

dotnet restore

To run the function locally:

func start

To test the function by sending a sample input and check the output if it matches with the expected output

curl -X <HTTP_Method> -d <payload> <Function_URL>

Please note that these commands are a high-level overview and further details will depend on the specific technology stack and the resources available on your HCI stack machine.

Also, you need to have .NET Core SDK installed on your HCI stack machine to use these commands.