Azure Friday

Scott talks to Vladimir Vinogradsky in this three-part series on Azure API Management Policy Expressions. This first episode covers the basics and explains the architecture of API Management and where policy expressions fit in. You'll see how you can use familiar Razor syntax and how API Management compiles your expressions with the Roslyn compiler.

Principal Engineer Corom Thompson shares the story behind viral Internet site http://www.how-old.net! How was it made, how does it work, and more importantly, how did it scale when the whole internet showed up at its door?

Senior Program Manager Narayan Annamalai teaches Scott how to use Network Security Groups within an Azure Virtual Network. You can create control access to objects within Azure by subnet and network! You'll learn how to control access and create groups within Azure using PowerShell!

Scott talks to Khalid Mouss about how you can monitor your Linux machines within an Azure infrastructure. Large numbers of Linux machines run on Azure with great success, so how can you best monitor the CPU and Disk access of your Linux workloads? Khalid also shows how to add support for Datadog by adding their custom agent to a Linux VM.

Scott talks to Santosh Balasubramanian about how to stream data through Azure and perform real-time analysis and scoring using Azure Stream Analytics. We'll also create and share realtime dashboard showing streaming data in Power BI!

Scott loves IoT devices, and today Santosh Balasubramanian hooks up a Raspberry PI to Azure Stream Analytics. Use a SQL-like language to ask questions of your IoT devices and create dashboards in Power BI.

Scott talks to Karan Batta about how to use Azure Batch for large scale Rendering Workflows. Karan uses a plugin for Autodesk Maya 2015 that lets you utilize the raw power and scale of Azure to speed up your scene renders using Azure Batch.

Scott talks to Asad Khan about the addition of Apache Spark on Azure HDInsight. Apache Spark is a unified, open source, parallel data processing framework for Big Data Analytics. Spark brings together batch processing, real-time processing, stream analytics, machine learning, and interactive SQL and Azure makes Spark "Software as a Service." It's a great time for you to jump into the wor...

Scott talks to Adarsh Solanki about an amazing Azure Media Services feature - Azure Media Indexer! Azure Media Indexer will automatically create standard-format transcript from your audio or video files! You can upload hours of video and have captioning created, then seek, search, and automatically jump to where someone said a word or term! Where did someone say Hololens in a BUILD keynote? Media...

Manling Zhang comes to Azure Friday to tell Scott about recent updates to the Azure CDN.

Channel 9's own Seth Juarez comes to lay down the knowledge and get Scott up to speed on Azure Machine Learning 101.

Nicole Berdy comes to Azure Friday to educate Scott about how Azure Event Hubs can be used to handle an influx of HUGE amounts of data. What techniques and tools do you need to use to consume data quickly and effectively?

Scott talks to Khalid Mouss about how install the Azure CLI into a Docker Container. This means your Azure Command Line Interface setup is completely portable and easily installable, anywhere!

Scott is flying solo in this episode. He digs into Web Apps and how you can use Log Streaming to listen in on what's really happening with your Web Applications running on Azure. From File New Project all the way to connecting to the production log streaming service, this video will show you features you may be not exploiting fully today!

Hey, it's Scott...by himself! In this episode Scott goes solo to talk about the IIS8+ module called the HttpPlatformHandler. It exists so Azure can run Java but now its existence means we've got a generic reverse proxy mechanism for IIS both in Azure AND outside Azure! Let's see if this means we can run Ruby or F# or anything we like!

Scott talks to Ahmet Alp Balkan about Docker and how it integrates with Visual Studio using an extension. You'll see how you can create and install docker onto Virtual Machines in Azure easily. Then we'll create an ASP.NET 5 application and publish it to Docker on a VM running Linux in Azure.

Scott talks to Ahmet Alp Balkan about Docker and gets the full 101 on what Docker is, and why we should care. What problem does Docker solve and how can we use Docker in the Microsoft Azure Cloud?

Scott talks to Mahesh Thiagarajan about the new Azure JSON-based APIs for Azure that now include Compute, Network, and Storage. Orchestrating large system deployments is easier and more declarative than ever.

Scott talks to Mahesh Thiagarajan about some of the new innovations just released in Azure Resource Manager. Thousands of VMs can be created and spun up in parallel, network adapters are first class citizens, and much more!

In this next part, we build on what we learned in Azure PowerShell 101 and now create a more sophisticated script to manage Azure Storage from the command line.

Scott continues his PowerShell series with Guang Yang. In this episode we learn how to create and manage Azure Virtual Machines entirely from the command line!

Scott talks to Jai Haridas about Azure Table Storage. This incredibly fast no-sql store is perfect for large scale Key/Value lookups. We'll create a sample application and explore the underlying HTTP REST calls to the backend Azure Storage API.

Scott talks to Azure Search Program Manager Liam Cavanagh about how Azure Search can search intelligently in multiple languages! You can use Microsoft's language analyzer as well as Lucene's!

Liam Cavanagh explains how the to use Azure Search in your application to give "suggestions" as you type! You can get suggestions almost instantly, choose how your want your input tokenized, and whether Azure Search to give results even if your input is misspelled and apply "fuzzy" logic.

Scott talks to Program Manager Jai Haridas who school us all on Azure Blob Storage 101. We'll create a simple application that accesses Blog Storage and we'll even use Fiddler talk watch the actual HTTP REST calls to the Azure backend!