Azure Friday

Den Delimarsky shows how to quickly build a Chrome app that will leverage Azure Notification Hubs for push notifications within the browser. You can follow the official tutorial.

Den Delimarsky shows how to use Azure Notification Hubs to deliver push notifications to an Android application. You can follow the official tutorial and download the sample code on GitHub.

Den Delimarsky shows how to use Azure Notification Hubs from a Xamarin.Android application. You can follow the official tutorial.

Microsoft Azure will be offering state of the art GPU visualization infrastructure and GPU compute infrastructure for various different scenarios like gaming, streaming, transcoding, machine learning, visualized CAD applications and many more other workloads that utilize GPUs. Relevant Links: Introduction to NVIDIA GPUs in Azure http://connect.teradici.com/blog/teradici-joins-azure-big-compute-team-onstage-at-build-2016 http://connect.teradici.com/blog/teradici-and-microsoft-azure-to-turn-heads-at-siggraph-2016

Seth Juarez talks to Chuck Weininger and Vance Morrison about the power of Azure Service Profiler. It can help you debug performance problems for many different Azure workloads, but they specifically demonstrate how to get it working for Azure Web Apps.

Scott talks with Ross Gardler about how Azure Container Service can be used to scale your Docker and container-based work-loads easier than ever.

Scott digs in with Neil Gat and learns how to scale VM scales set to new heights! With all VMs configured the same, VM scale sets are designed to support true autoscale – no pre-provisioning of VMs is required – and as such makes it easier to build large-scale services targeting big compute, big data, and containerized workloads.

Scott learns from Neil Gat about Azure VM Scale Sets. VM Scale Sets are an Azure Compute resource you can use to deploy and manage a collection of virtual machines as a set. Scale sets are well suited for building large-scale services targeting big compute, big data, and containerized workloads – all of which are increasing in significance as cloud computing continues to evolve.

Scott talks to Gaurav Malhotra about how Azure Data Factory's tools have improved and now make the monitoring and management of Big Data Pipelines easier than ever. He also demos how Data Factory is used with How-old.net!