Publishing, Automating and Monitoring your JS App on Azure

We love easily created and deployed web applications! So, let’s see what a very current tech stack like Nuxt 3, Motion UI and Azure Static Web Apps can do for us. It could very well be a golden trio in modern day web development. Or it could be a fire pit of bugs and errors. Either way it will be a learning adventure for us all. Nuxt 3 has been released just a few months ago, and we cannot wait any longer to explore its new features like its acceptance of Vue 3 and the Nitro Engine. We add a bit of pizzazz to our application with the Sass library Motion UI, because static design is out, and animations are in again.Our driving power of the stack will be Azure. Azure static web apps are new, close to production and a nifty and quick way for developers to deploy their websites. So of course, we must try this out.With some sprinkled Azure Functions on top, we will explore what web development in 2022 can do.

Azure Static Web Apps were launched earlier in 2021, and out of the box, they could integrate your existing repository and deploy your Static Web App from Azure DevOps. This workshop demonstrates how to publish an Azure Static Web App with Azure DevOps.

The workshop gives a practical perspective of key principles needed to develop, build, and maintain a set of microservices in the Node.js stack. It covers specifics of creating isolated TypeScript services using the monorepo approach with lerna and yarn workspaces. The workshop includes an overview and a live exercise to create cloud environment with Pulumi framework and Azure services. The sessions fits the best developers who want to learn and practice build and deploy techniques using Azure stack and Pulumi for Node.js.

A real-world demo and a playground for Azure Static Web Apps service.

This workshop will be both a gentle introduction to Machine Learning, and a practical exercise of using the cloud to train simple and not-so-simple machine learning models. We will start with using Automatic ML to train the model to predict survival on Titanic, and then move to more complex machine learning tasks such as hyperparameter optimization and scheduling series of experiments on the compute cluster. Finally, I will show how Azure Machine Learning can be used to generate artificial paintings using Generative Adversarial Networks, and how to train language question-answering model on COVID papers to answer COVID-related questions.