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Cloud Advocate Content Highlights (Week of 9/6)
Microsoft's Cloud Advocates help every technologist, from those in enterprises or startups, to succeed and do what they love: write, code, and learn. They engage developers and others in the software ecosystem to further technical education and proficiency within the Microsoft Cloud + AI platform. Cloud Advocates meet with developers around the world through talks, demos, and engagement in technical communities. Please check out the latest Cloud Advoacy content highlights below for the week of 9/6:
Title |
Cloud Advocate |
Description |
Topics & Technologies |
Matt Soucoup (Twitter: @codemillmatt) |
Azure Cloud Shell allows you to manage your Azure resources through a browser-based Bash or PowerShell terminal -- and Matt describes how to use it w/ GitHub, *without* having to enter your credentials every.single. time. |
Security, Azure CLI, Developer Tools, Azure Storage, Azure Cloud Shell |
|
Chris Noring (Twitter: @chris_noring) |
In the first post in this Docker and containerization with .NET Core series, you'll look at how to take your first steps with Docker in .NET Core (and *why* containers and Docker in the first place). |
Docker, .NET Core, Containers |
|
|
Abel Wang (Twitter: @abelsquidhead) |
In this post, Abel shares with us his first look at the GitHub Actions 2.0. Beta which has just come out and shows how he set up a simple CI/CD pipeline using GitHub actions into Azure. |
GitHub Marketplace, GitHub Actions, CI/CD, Azure |
Tania Allard (Twitter: @ixek) |
This tutorial demonstrates how users can call R from Python and vice-versa. |
Programming, Data Science, Students, Python, R |
|
Large-Scale Machine Learning Inferencing with Azure Functions |
Anthony Chu (Twitter: @nthonyChu) |
Azure Functions recently announced the general availability of their Python language support. We can use Python 3.6 and Python's large ecosystem of packages, such as TensorFlow, to build serverless functions. |
Azure Functions, Azure Machine Learning, Serverless, Python |
Abhishek Gupta (Twitter: @abhi_tweeter) |
Abhishek showcases the tutorial for developing a Slack app using Azure Functions as the backend. In this blog he provides a step-by-step guide to getting a real-world Serverless Java App deployed on Azure Functions and hooking it up with Slack. In the upcoming part 2 of this blog, he will deep dive into the code as well. |
Java, Azure Functions, Serverless |
|
Cloud Native Show: Why .NET Core for building Cloud Native Apps? |
Shayne Boyer (Twitter: @spboyer) |
Epsiode #2 of the Cloud Native Show, Shayne sits down with Scott Hunter to discuss why developers should choose .NET Core for building cloud native applications. |
Cloud-Native, Microservices, .NET Core |
Francesca Lazzeri (Twitter: @frlazzeri) |
In this example we use the associated credit card dataset to showcase how you can use AutoML for a simple classification problem and deploy it to an Azure Container Instance (ACI). The classification goal is to predict if a credit card transaction is or is not considered a fraudulent charge. |
Azure Machine Learning Service, Azure Container Service, Azure Machine Learning Notebook VM |
|
Thomas Maurer (Twitter: @ThomasMaurer) |
Thomas recently wrote an article listing reasons why to become Microsoft Azure Certified. Since he passed a couple of the Microsoft Azure certification exams, in this article he shares how he prepared for these exams and passed. |
MS Learn, Education + Training, Cloud Computing (General), Azure |
|
DevOps Lab: Taking Advantage of the Azure DevOps Wiki as a Developer |
Damian Brady (Twitter: @damovisa) & Abel Wang (Twitter: @abelsquidhead) |
In this episode, Abel sits down with Dipendra Namdeo to talk more about the Azure DevOps Wiki. |
Azure DevOps Services |
