Channel 9

Join Scott Hunter and team as they show you all the amazing things you can do with .NET 6. https://aka.ms/dotNETConf2021-GetdotNET6

The Dynamics 365 Field Service mobile app helps your frontline workers manage and complete their service tasks while onsite at a job. It is built on Microsoft Power Platform. If your organization is using the mobile app built on the Xamarin platform, you'll need a plan to move workers to the Power Platform mobile app by June 2022. As you transition your organization to the Field Service (Dynamics 365) mobile app, this video takes you through some best practices and resources to help with the adoption!

Catch up on the latest Intelligent Order Management product and demo. Built on a modern, open platform, Dynamics 365 Intelligent Order Management provides the flexibility companies need to capture orders from any order source, including e-commerce, marketplace, mobile apps, or traditional sources like electronic data interchange (EDI).

Power Apps Portal represent a unique offering to the Power Platform, one that allows the Power Platform to reach virtually any and all users your enterprise wants to connect to. It represents the external face of your enterprise to your users, allowing them to interact with other users as well as internal representatives. In this episode we would like to discuss some of the key security best practices during implementations.

In this episode of the Armchair Architect series of the Azure Enablement Show, David Blank-Edelman is joined by Uli Homann, Microsoft Corporative Vice President and Distinguished Architect, and Eric Charran, Chief Architect at Microsoft in a deep-dive conversation into observability of hybrid and multi-cloud applications. ✅Resources: Management and Monitoring patterns - Cloud Design Patterns | Microsoft DocsSidecar pattern - Cloud Design Patterns | Microsoft DocsObservability patterns | Microsoft Docs[00:00] Introduction[01:22] From an architectural perspective, what do we need to do to build and run resilient, self-healing applications?[04:22] Is monitoring from within the app itself an anti-pattern? Should sidecar patterns be used instead?[06:21] What's the best method for Observability? Push or Pull?[09:16] Can you use AI to monitor logs and report anomalies?[10:19] Azure uses ML to predict host failure, then proactively removes VMs and takes the host out of the cluster[12:15] Apps and microservices create so many logs; how can you tie them all together to track and understand an event?

Datadog is a monitoring and analytics platform for large-scale applications. It encompasses infrastructure monitoring, application performance monitoring, log management, and user-experience monitoring. Sreekanth Thirthala from Azure and Ryan MacLean from Datadog join Scott Hanselman to show how Datadog's offering in the Azure Marketplace enables you to manage Datadog in the Azure console as an integrated service. [0:00:00]– Introduction[0:00:51]– Overview of Datadog in Azure[0:04:08]– Demo of Datadog in Azure[0:10:22]– Datadog offering in Azure Marketplace[0:00:00]– Wrap-up New Datadog integration with Azure offers a seamless configuration experienceWhat is Datadog?Datadog in Azure MarketplaceManage the Datadog resourceCreate a free account (Azure)

Flexible Server is a new, next-generation option in the Azure Database for PostgreSQL managed service. Hosted on Linux OS, Flexible Server delivers superior out-of-box performance, zone resilient HA, customer-managed maintenance windows, plus a developer-friendly experience. Join this episode with Sunil Agarwal to learn more about why people are excited about the PostgreSQL managed service on Azure and the newly GA'd Flexible Server option. [00:32] Introductions[01:00] Flexible Server for Azure Database for PostgreSQL Overview[04:43] Getting started with Flexible Server Resources:What is Flexible Server in Azure Database for PostgreSQL? - Microsoft Tech Community Bringing the best of Azure and PostgreSQL innovation to developers - Microsoft Tech Community Azure Database for PostgreSQL - Flexible Server | Microsoft Docs

Data engineering is one of the most involved, dull, and repetitive tasks in the data industry today. Bringing up the subject is a sure way to instantly clear the room at a party or make your friends groan in despair. The work includes a lot of complicated tools, many, many lines of code, and a not-insignificant amount of gnashing of teeth. But what if I told you there is a way to quickly, easily, and cheaply do both data engineering and data exploration on most data without even having to import it into a database? What if I told you that Azure Synapse has a just about magical tool that can instantly connect to flat files and make them available as nice, well-behaved tables? I'm talking about Azure Synapse serverless pools, a great tool for both initial exploration and surprisingly complex data engineering. I'll walk you through what it is, how to set it up, and give you a few examples of basic data exploration, as well as a tad more complex data engineering. Oh, and did I mention you can actually store the end result in several different formats as well...?[00:56] Azure Synapse Serverless Pools Overview[01:54] Demo[11:05] Getting started Resources:Andy Cutler's blog on serverless poolsAndy Mallon's blog on bucketing with T-SQLAbout Alexander Arvidsson:Alexander is a principal solutions architect at Attollo in Sweden. Nobody really knows what it means to be a principal solutions architect, but he spends his days speaking, teaching courses or helping clients of all shapes and sizes to take better care of their data.He has spent the last 25 years toying with data, databases and related infrastructure services such as storage, networking and virtualization, occasionally emerging from the technical darkness to attend a Star Wars convention somewhere in the world.He is a frequent international speaker, Data Platform MVP, podcaster, Pluralsight author, blogger and a Microsoft Certified Trainer, focusing on the Microsoft data platform stack.About MVPs:Microsoft Most Valuab

Stripe elements provide prebuilt UI components that enable developers to create beautiful checkout flows for your applications. In this episode, CJ Avilla does on to show us how to integrate Stripe elements into an ASP.NET Core project. [00:00] - Introduction[01:34] - Exploring a custom form[04:12] - Payment collection workflow[06:37] - Adding stripe checkout to your app[12:27] - Customizing the payment types[15:12] - Can you apply your own styles?[16:15] - How are taxes handled? Accepting online payments (Checkout) https://github.com/cecilphillip/ContosoCraftsStriped https://stripe.com/docs/payments/accept-a-payment?platform=web&ui=checkout&lang=dotnet Building custom payment forms with Stripe (Elements) https://github.com/cjavilla-stripe/ContosoCraftsStripeElements https://stripe.dev/elements-examples/ https://stripe.com/docs/payments/payment-element https://stripe.com/docs/payments/accept-a-payment?platform=web&ui=elements&lang=dotnet General Stripe links Register - https://dashboard.stripe.com/register Support - https://stripe.com/go/developer-chat Social - https://twitter.com/stripedev

On today's episode of the AI Show, Seth welcomes Swati Gharse who will show us how to build computer vision models using AutoML for Images! Jump to:[00:29] Welcome Swati[00:46] What kinds of problems Computer Vision solvesMulti-class image classificationMulti-label image classificationObject detectionInstance segmentation[02:15] Why is this so challenging?[03:18] AutoML feature capabilities[05:00] Supported algorithms and tunable hyperparameters[07:30] Demo: Training object detection model[08:33] Using default hyperparameter values for specified algorithm[11:46] Completed AutoML run[15:15] Custom Vision v. Computer Vision v. AutoML for Images[16:40] Learn more Learn more: AutoML Images Blog https://aka.ms/AIShow/AutoMLImages/Blog Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzure Zero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAI Machine Learning for Data Scientists https://aka.ms/AIShow/MLforDataScientists Packt: Principles of Data Science https://aka.ms/AIShow/DataSciencePackt Create a Free account (Azure) https://aka.ms/aishow-seth-azurefree Follow Seth https://twitter.com/sethjuarez Follow Swatihttps://www.linkedin.com/in/swati-gharse-3781a97/ AI Show Playlist https://aka.ms/AIShowPlaylist Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribe Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive