Azure Advocates Weekly Round Up – Fluid Framework Playground!

Building a sample app based on Storybook.js to allow ISVs and eventually the public to demo Fluid examples live and see the code directly in the browser.

Together with the Azure Stack Hub team, we are starting a journey to explore the ways our customers and partners use, deploy, manage, and build solutions on the Azure Stack Hub platform. Together with the Tiberiu Radu (Azure Stack Hub PM @rctibi) and myself (Azure Cloud Advocate @ThomasMaurer), we created a new Azure Stack Hub Partner solution video series to show how our customers and partners use Azure Stack Hub in their Hybrid Cloud environment. In this series, as we will meet customers that are deploying Azure Stack Hub for their own internal departments, partners that run managed services on behalf of their customers, and a wide range of in-between as we look at how our various partners are using Azure Stack Hub to bring the power of the cloud on-premises.

Been inspired by the Cloud Resume Challenge by Forest Brazeal to build more stuff in the cloud. I wanted to build something simple to continue my Cloud journey. I decided to build an open-source REST API for my JSON-based standard format resume. I'm using JavaScript and Azure Functions. Also, this would be a great challenge for newbies getting into Azure functions, a hands-on micro project to get started with Azure Functions.

The main goal of this article is to show you how you could modernize your old fashion NAV on-premises ERP, giving some of the Cloud power out there, using the Serverless Azure Functions Architecture. We will create an Azure Function that would act as an API Rest endpoint to classify customer based on their RFM score so we can integrate this information into the customer e-commerce. We will use SQL to add the RFM classification login and Python to create the Azure Function.

 

Learn how to serve all those models which you trained, using Azure Functions, a serverless framework designed to run your code on the cloud without worrying about resource allocation. The article goes through the following steps:-
- Training a classification model using Azure cognitive services
- Initialize a local environment for developing Azure Functions in Python.
- Build a serverless HTTP API for classifying an x-ray image into two classes: Pneumonia and Normal.
- Consume the API from a web app.

 

Translation of my PT article with the same title to the global public with my personal opinions and tips on why every developer should write articles.

Together with the Azure Stack Hub team, we are starting a journey to explore the ways our customers and partners use, deploy, manage, and build solutions on the Azure Stack Hub platform. Together with the Tiberiu Radu (Azure Stack Hub PM @rctibi) and myself (Azure Cloud Advocate @ThomasMaurer), we created a new Azure Stack Hub Partner solution video series to show how our customers and partners use Azure Stack Hub in their Hybrid Cloud environment. In this series, as we will meet customers that are deploying Azure Stack Hub for their own internal departments, partners that run managed services on behalf of their customers, and a wide range of in-between as we look at how our various partners are using Azure Stack Hub to bring the power of the cloud on-premises.

If you want to keep your Azure virtual machines (VMs) up-to-date, then there is a service called Azure Update Management, which helps you to manage updates on your Azure VM guest operating system. However, this needed some additional planning and configuration. To make patching of your Azure virtual machines (VMs) easier, there is a new option called Automatic VM guest patching, which helps ease update management by safely and automatically patching virtual machines to maintain security compliance. 

Podcast recording with Jeremy Thake on the MIcrosoft 365 Developer Podcast: 

 

In this article, I talk about how we can leverage and create service meshes using Linkerd