Showing all posts tagged: 'Serverless'

A 19-post collection

Deploying Azure Functions with ARM templates and the Kudu REST API

This approach is by far my preferred and favourite. Ok, it's not perfect but I believe that it provides the most open source, versatile and flexible way to deploy your functions using any tool and any platform. This one does not require you to install any special tools other than the Azure CLI on your build server. In this step, rather than trying to do everything from one file, i.e. the ARM template, I decided to go with the 2 step approach: Deploy the ARM template with the Application Service and Function(s) structure Deploy the Function(s) code. …[read more]

DevOps with Azure Functions - a holistic approach

Azure Functions is Microsoft's answer the serverless architecture. They are very popular due to the incredible integration they provide with Azure Services, SaaS providers and on-premise application. It definitely drives the whole microservice architecture design which is built on top of Azure's established Platform-as-a-Service. And enables developers to think about APIs and integration in a totally different way - serverless (even though there are still servers under the hood). It's even more exciting seeing so many organisations embarking in larger scale projects that take advantage of Functions and LogicApps. If you want to know more about the whole serverless design, …[read more]

Copy Azure blob data between storage accounts using Functions

Microsoft's Azure Functions are pretty amazing for automating workloads using the power of the Cloud. Unlike their predecessor, WebJobs, Functions are an extremely simple yet powerful tool at your disposal. In addition, unlike WebJobs, they don't share the workload with anything else, so you can push them to the limit. They are also extremely scalable and run concurrently, making them ideal for all your back-end processing. I recently used Azure Functions to copy blob storage data from one subscription to another. If you intend to copy data within the same subscription, then your task is even simpler and you can …[read more]