Azure Functions provides serverless computing as Functions-as-a-Service, which provides a platform for you to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app.

Azure Functions executes code to respond to changes in data, responding to messages, running on a schedule, or as the result of an HTTP request.

Typically, you just deploy the function into an existing base container provided by Microsoft. But if you specific needs, such as specific version, you can deploy your Function app as a custom container into the Azure Functions service.

As an alternative to Azure service, you can deploy Azure Functions into your own Kubernetes deployment and run Functions along side your other Kubernetes deployments.

With Azure Functions service you no longer need to manage disk capacity or memory. The compute requirements are are handled automatically. You pay for what and when you use it, rather than fixed sizes and memory required by other Azure services.

You can use a Docker container to deploy your function app to Azure Functions. You can also deploy Azure Functions app into your own Kubernetes.

In this article, you learn about the key features of Azure Functions with containers.

Let’s get started.

Continue reading “Serverless apps in Kubernetes, Azure Functions”