Azure Functions Documentation

Azure Functions Language Support

Azure Functions supports a variety of programming languages, allowing you to use the language you are most comfortable with to build your serverless applications. The runtime provides an execution environment and APIs for each supported language.

Supported Languages

The following languages are officially supported by Azure Functions:

Language Worker Model

Azure Functions uses a language worker model. The runtime hosts a language-specific worker process. This worker process is responsible for:

This model allows for language flexibility and independent updates of language runtimes and workers without requiring changes to the core Functions runtime.

Choosing a Language

The choice of language often depends on your team's expertise, existing codebases, and the specific requirements of your project. Consider the following:

Language-Specific Considerations

C#

C# offers deep integration with the Azure ecosystem. You can develop functions using:

Example C# function signature:

public static void Run(TimerInfo myTimer, ILogger log)
{
    log.LogInformation($"C# Timer trigger function executed at: {DateTime.Now}");
}

JavaScript/TypeScript

Ideal for web developers and event-driven architectures. Node.js functions are easy to get started with.

Example JavaScript function:

module.exports = async function (context, req) {
    context.log('JavaScript HTTP trigger function processed a request.');

    const name = (req.query.name || (req.body && req.body.name));
    const responseMessage = name
        ? "Hello, " + name + "!"
        : "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.";

    context.res = {
        body: responseMessage
    };
};

Python

Python functions are perfect for scripting, data processing, and integrating with AI/ML services.

Example Python function:

import logging
import azure.functions as func

def main(req: func.HttpRequest) -> func.HttpResponse:
    logging.info('Python HTTP trigger function processed a request.')

    name = req.params.get('name')
    if not name:
        try:
            req_body = req.get_json()
        except ValueError:
            pass
        else:
            name = req_body.get('name')

    if name:
        return func.HttpResponse(f"Hello, {name}!")
    else:
        return func.HttpResponse(
             "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
             status_code=200
        )

Java

Leverage the power of the Java Virtual Machine (JVM) for your serverless applications.

Example Java function (simplified):

public class Function {
    public static void run(String name, org.slf4j.Logger logger) {
        logger.info("Java HTTP trigger processed a request.");
        if (name != null && name.trim().length() != 0) {
            logger.info("Hello, " + name);
        } else {
            logger.info("Please pass a name on the query string or in the request body for a personalized response.");
        }
    }
}

Important Note

While Azure Functions supports multiple languages, it's crucial to use the correct versions of the language runtime and SDKs as specified in the Azure Functions documentation for the best compatibility and performance.

Pro Tip

Consider using Azure Functions Core Tools for local development and testing. It provides a seamless experience for building and debugging functions in your chosen language before deploying to Azure.

Deployment

Deployment methods vary by language. You can deploy using:

Community Support

Engage with the Azure Functions community on forums, Stack Overflow, and GitHub to share knowledge, ask questions, and find solutions.