Azure Friday

<p>Jay Gordon (@jaydestro) joins Donovan Brown (@donovanbrown) to show how to build a containerized React application and deploy it to production with Azure Kubernetes Service. He'll also show how to configure an Azure Active Directory service principal to enable Role-Based Authentication, which enables you to dynamically create and manage other Azure resources.[0:01:07] - DemoService principals with Azure Kubernetes Service (AKS)Quickstart: Deploy an Azure Kubernetes Service cluster using the Azure CLI | Create AKS clusterAzure Kubernetes Service (AKS) overviewjaydestro/react-clock-basic repo (GitHub)Create a free account (Azure)</p>

<p>Dr. Ranveer Chandra gives Scott Hanselman an introduction to Azure FarmBeats at Microsoft Ignite 2019. FarmBeats is a business-to-business offering available in Azure Marketplace. It enables the aggregation of data from farms -- across sensors, drones, robots, satellites, and weather providers -- and generation of actionable insights using artificial intelligence (AI) and machine learning (ML) models built on fused datasets.Overview of Azure FarmBeats (Preview)Democratizing agriculture intelligence: Introducing Azure FarmBeatsFarmBeats: AI, Edge & IoT for AgricultureAzure FarmBeats on Azure MarketplaceCreate a free account (Azure)</p>

<p>Azure Data Share enables organizations to share data simply, safely and with plenty of flexibility when it comes to data sources and modes of sharing. In this episode, Joanna Podgoetsky joins Donovan Brown to walks us through how organizations can share data with no data movement through a new capability which enables in-place sharing from Azure Data Explorer.[0:04:20] - DemoAzure Data Share documentationAzure Friday - Share data simply and securely using Azure Data ShareAzure Friday - How to share SQL tables and views using Azure Data ShareAzure Data Share overviewCreate a free account (Azure)</p>

<p>Tim Sander joins Scott Hanselman to discuss composite indexes and correlated subqueries using the SQL API in Azure Cosmos DB. A Request Unit, or RU, is the measure of throughput in Azure Cosmos DB. Learn how to optimize queries with a composite index to decrease the RUs needed for a given query. They also showcases correlated subqueries and examples of how they can make it easier to query arrays in Azure Cosmos DB.[0:01:15] - Demo: composite indexes [0:04:20] - Demo: correlated subqueriesIndexing policies in Azure Cosmos DB - Composite IndexesSQL subquery examples for Azure Cosmos DBAzure Cosmos DB workshop labs (GitHub)Azure Cosmos DB overviewCreate a free account (Azure)</p>

<p>Anavi Nahar joins Donovan Brown to show how virtual network peering enables you to connect networks seamlessly in Azure Virtual Network. The virtual networks appear as one for connectivity purposes. The traffic between virtual machines uses the Microsoft backbone infrastructure. Like traffic between virtual machines in the same network, traffic is routed through Microsoft's private network only.[0:02:08] - DemoAzure Virtual Network peeringWhat is Azure Virtual Network?Azure Virtual Network overviewTroubleshoot virtual network peering issuesCreate a free account (Azure)</p>

<p>Aung Oo joins Scott Hanselman to show how to use Azure Ultra Disks. Ultra Disk is a new Managed Disks offering that delivers unprecedented and extremely scalable performance with sub-millisecond latency for the most demanding Azure Virtual Machines and container workloads.[0:02:00] - DemoUsing Azure ultra disksAzure Disk Storage overviewAnnouncing the general availability of Azure Ultra Disk StorageCreate a free account (Azure)</p>

<p>Jie Feng joins Scott Hanselman to show how to share SQL tables and views using Azure Data Share. Azure Data Share now supports snapshot-based sharing for SQL-based sources, including Azure SQL Database and SQL Data Warehouse. Data Providers can use Azure Data Share to share tables and views with their customers and partners in a governed, secure and simple way. Data Consumers have full flexibility into where data is received - with the ability to receive SQL-based data into an Azure SQL Database, SQL Data Warehouse, Azure Data Lake Store Gen2 or Azure Blob Storage.[0:01:00] - DemoAzure Data Share documentationTutorial: Share data using Azure Data ShareTutorial: Accept and receive data using Azure Data ShareAzure Data Share overviewCreate a free account (Azure)</p>

<p>Thomas Maurer joins Scott Hanselman to show how you can connect your Windows Servers on-premises to Azure hybrid services like Azure Site Recovery to protect your virtual machines or Azure Update Management to keep your servers up to date.[0:01:28] - DemoConnecting Windows Server to Azure hybrid servicesAzure Site Recovery overviewUpdate Management solution in AzureHow to configure Azure Hybrid Services in Windows Admin CenterCreate a free account (Azure)</p>

<p>Learn how you can publish your SaaS solution and start generating revenue by making it available to potential buyers on Microsoft AppSource and Azure Marketplace. Ercenk Keresteci joins Scott Hanselman to cover the technical details of integrating a solution with Microsoft's commercial marketplace, including how to use scripts for provisioning and de-provisioning a customer.[0:05:00] - DemoAzure Marketplace and AppSource publishing guideCreate a new SaaS offerSaaS fulfillment APIs, version 2A sample for Azure Marketplace SaaS integration (GitHub)Create a free account (Azure)</p>

<p>Christina Lee joins Scott Hanselman to show what's new in Azure Cognitive Services. Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps.[0:02:00] - DemoAzure Cognitive Services overviewContainer support in Azure Cognitive ServicesEnable receipt understanding with Form Recognizer's new capabilityStart building with Azure Cognitive Services for freeCreate a free account (Azure)</p>

<p>Keiko Harada joins Scott Hanselman to show how to use Prometheus to monitor containers in Azure Monitor. Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation. Customers who like the extensive metrics which Prometheus provides on Kubernetes also like how easy it is to use Azure Monitor for containers which provides fully managed, out of the box monitoring for Azure Kubernetes Service (AKS) clusters.[0:04:30] - DemoImproving observability of your Kubernetes deployments with Azure Monitor for containersAzure Monitor for Containers - MetricsConfigure scraping of Prometheus metrics with Azure Monitor for containersAzure Monitor overviewCreate a free account (Azure)</p>

<p>Most of the time, your apps are running happily and healthily. However, when things go wrong, you can use Genie and Navigator in App Service Diagnostics to figure out what's wrong. Jen Lee joins Scott Hanselman to show how the App Service Diagnostics interactive interface (Genie) guides you intelligently through the self-troubleshooting experience. Navigator, enables you to find potentially breaking changes to your app and its dependencies.[0:00:54] - DemoAzure App Service diagnostics overviewNavigator now provides dependency mapping and change analysis in App Service DiagnosticsProvide feedback on App Service DiagnosticsAzure App ServiceBakery Web App Template (GitHub repo)Create a free account (Azure)</p>

<p>Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory empower you with a code-free, serverless environment that simplifies data preparation in the cloud and scales to any data size with no infrastructure management required. It uses the industry-leading Power Query data preparation technology (also used in Power Platform dataflows, Excel, and Power BI) to prepare and shape the data. Built to handle all the complexities and scale challenges of big data integration, wrangling data flows enable use Apache Spark execution to help you easily prepare data at scale.[0:02:00] - DemoWrangling data flows docsPower QueryAzure Data Factory overviewAzure Data Factory docsCreate a free account (Azure)</p>

<p>Container startup time is the price of admission, but startup time is also an inhibitor for many serverless scenarios. Steve Lasker joins Lara Rubbelke to show how Project Teleport eliminates the download and decompression of layers by directly mounting expanded layers, potentially unlocking many new scenarios.[0:02:13] - DemoAzure Container Registry Adds Teleportation blog postTeleport Preview sign-up formAzure Container Registry overviewAzure Container Registry docsCreate a free account (Azure)</p>

<p>Distributed denial of service (DDoS) attacks are rampant and it's not a question of if a business will be impacted but when. Anupam Vij shows Scott Hanselman how Azure DDoS Protection Standard can protect your applications against targeted DDoS attacks and why it is critical for every business running in Azure to use the service to enhance their security posture. If your protected applications are under attack, Azure DDoS Protection Standard provides an SLA guarantee and cost protection.[0:06:20] - DemoAzure DDoS ProtectionAzure DDoS Protection Standard overviewAzure DDoS Protection - Designing resilient solutionsHoliday season is DDoS season blog postAzure Networking productsCreate a free account (Azure)</p>

<p>Aman Bhardwaj and Yaron Schneider join Scott Hanselman to talk about the actor model of Distributed Application Runtime (Dapr). Dapr is a portable, event-driven runtime that makes it easy for developers to build resilient, microservice stateless and stateful applications that run on the cloud and edge and embraces the diversity of languages and developer frameworks.[00:01:36] - DemoDapr - Distributed Application Runtimedapr/dapr repo (GitHub)Announcing Distributed Application Runtime (Dapr), an open source project to make it easier for every developer to build microservice applicationsLearn all about Distributed Application Runtime (Dapr), Part 2Create a free account (Azure)</p>

<p>Aman Bhardwaj and Yaron Schneider join Scott Hanselman to talk about the core concepts of Distributed Application Runtime (Dapr). Dapr is a portable, event-driven runtime that makes it easy for developers to build resilient, microservice stateless and stateful applications that run on the cloud and edge and embraces the diversity of languages and developer frameworks.[00:02:19] - DemoDapr - Distributed Application Runtimedapr/dapr repo (GitHub)Announcing Distributed Application Runtime (Dapr), an open source project to make it easier for every developer to build microservice applicationsLearn all about Distributed Application Runtime (Dapr), Part 2Create a free account (Azure)</p>

<p>Gaurav Malhotra joins Scott Hanselman to show how you can use Gantt views to visualize your pipeline and activity runs. Look at the Gantt view per pipeline, or group by pipeline annotations/tags you create.[00:49] Demo Visually monitor Azure data factories (docs)Enhanced monitoring capabilities and tags/annotations in Azure Data Factory (Azure Friday)Azure Data Factory overviewAzure Data Factory docsCreate a free account (Azure)</p>

<p>Using a bastion host can help limit threats such as port scanning and other types of malware targeting your VMs. Ashish Jain joins Scott Hanselman to show how Azure Bastion gives you secure and seamless RDP and SSH access to your virtual machines. Now you can securely access your VMs over SSL from the Azure portal and without exposing public IP addresses.[05:20] Demo Azure Bastion overviewAzure Bastion docsDeploy Azure Bastion in an Azure Virtual Network (sample ARM template)Create a free account (Azure)</p>

<p>Geoff Staneff joins Donovan Brown to show how Data Accelerator for Apache Spark simplifies everything from onboarding to streaming of big data. It offers a rich, easy-to-use experience for creating, editing, and managing Apache Spark jobs on Azure HDInsight while enabling the full power of the Apache Spark engine.[01:21] Demo Microsoft open sources Data Accelerator for Apache SparkData Accelerator for Apache Spark (microsoft/data-accelerator) on GitHubAzure HDInsight overviewAzure HDInsight docsCreate a free account (Azure)</p>

<p>Gaurav Malhotra joins Scott Hanselman to show how you can run your Azure Machine Learning (AML) service pipelines as a step in your Azure Data Factory (ADF) pipelines. This enables you to run your machine learning models with data from multiple sources (85+ data connectors supported in ADF). This seamless integration enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.[0:02:18] DemoAzure Data Factory overviewAzure Data Factory docsAzure Machine Learning overviewAzure Machine Learning docsCreate a free account (Azure)</p>

<p>Are you tired of managing your multiple public IP addresses in Azure? Anavi Nahar joins Donovan Brown to show how Public IP Prefix enables you to use one prefix to manage your public endpoints in Azure. You can have predictable, contiguous public IP addresses that don't change as you scale. With a prefix, you can give your customers in Azure one range to simplify firewall management with predictable public IP addresses.[00:01:57] DemoPublic IP address prefixCreate, change, or delete a public IP address prefixPublic IP addressesPublic IP Address pricingCreate a free account (Azure)</p>

<p>The performance of your applications is central to the success of your IT organization. Many factors can affect the performance of your applications including network latency which is impacted by, among other things, the physical distance between the deployed virtual machines. Ziv Rafalovich joins Donovan Brown to show how Proximity Placement Groups help you co-locate your Azure infrastructure as a Service (IaaS) resources and achieve lower network latency.[00:03:25] DemoIntroducing proximity placement groupsCo-locate resources for improved latencyPreview: Deploy VMs to proximity placement groups using Azure CLIAzure Virtual Machines overviewCreate a free account (Azure)</p>

<p>Kirill Gavrylyuk joins Scott Hanselman to show how to run Jupyter Notebook and Apache Spark in Azure Cosmos DB. Now you can use the interactive experience of Jupyter Notebook and analytics powered by Apache Spark with your operational data. Run analytics and ML on your operational data in real time without data movement, and without the need to split into transactional and analytical silos.[00:02:18] Jupyter Notebook demo[00:05:41] Jupyter Notebook + Apache Spark demoAzure Cosmos DB overviewAzure Cosmos DB pricingAzure Cosmos DB docsCreate a free account (Azure)</p>

<p>Miao Jiang joins Scott Hanselman to demonstrate a sample CI/CD pipeline implemented using Azure DevOps and Azure API Management DevOps resource kit. The sample follows the suggested approach that was introduced in Build a CI/CD pipeline for API Management, Part 1.Azure API Management overviewAzure API Management docsAzure API Management DevOps Resource KitAzure DevOps SolutionsCreate a free account (Azure)</p>

<p>Miao Jiang joins Scott Hanselman to walk through a conceptual framework for building a CI/CD pipeline to automate the deployment of APIs into Azure API Management. Learn about common automation challenges with API Management and how the suggested approach addresses these challenges. For a demonstration, see: Build a CI/CD pipeline for API Management, Part 2.Azure API Management overviewAzure API Management docsAzure API Management DevOps Resource KitAzure DevOps SolutionsCreate a free account (Azure)</p>

<p>Saurya Das joins Scott Hanselman to show how multiple node pools for Azure Kubernetes Service (AKS) enable you to use different virtual machine sizes in a node pool supporting a variety of workloads in a single AKS cluster. For example, an e-commerce website can have a node pool for a billing service and another for a machine learning-based recommendation service, each with GPUs.[00:39] DemoPreview - Create and manage multiple node pools for a cluster in Azure Kubernetes Service (AKS)Azure Kubernetes Service (AKS) docsAzure Kubernetes Service (AKS) overviewLearn more about KubernetesCreate a free account (Azure)</p>

<p>Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you.[01:00] Creating a search index[02:37] AzSearch.js - Automagical UI and sample React controls[03:27] Searching the JFK Files[08:00] Adding search to Scott's blogCognitive Search – Azure Search with AI blog postThe JFK Files (microsoft/AzureSearch_JFK_Files repo)AzSearch.js (jj09/AzSearch.js repo) - Automagical UI and sample React controlsAzure Search overviewCreate a free account (Azure)</p>

<p>When a live site issue or outage occurs, quickly determining the root cause is critical. Standard monitoring solutions might alert you to a problem. They might even indicate which component is failing. But this alert won't always immediately explain the failure's cause. You know your site worked five minutes ago, and now it's broken. What changed in the last five minutes? This is the question that Application Change Analysis is designed to answer in Azure Monitor.[01:09] DemoUse Application Change Analysis (preview) in Azure MonitorAzure Monitor overviewAzure Monitor docsCreate a free account (Azure)</p>

<p>Sharad Agrawal and Teresa Yao join Scott Hanselman to introduce Web Application Firewall (WAF) with Azure Front Door. They show how to configure and block malicious attacks against web applications at the edge of Microsoft's network. WAF with Azure Front Door is the best solution to help protect your web applications without compromising on delivery speed.[05:18] DemoAzure Front Door overviewAzure Front Door docsWhat is Azure web application firewall for Azure Front Door?Azure Front Door pricingCreate a free account (Azure)</p>

<p>Mike Budzynski is back to share the latest Azure API Management updates with Scott Hanselman.[01:25] Building serverless APIs with Azure Functions & API Management Consumption tier[03:40] Generating object schemas[06:30] New developer portal (now in preview) Azure API Management developer portal (azure/api-management-developer-portal)Azure API Management overviewAzure API Management docsAzure API Management resourcesGo Serverless playlistCreate a free account (Azure)</p>

<p>Ziv Rafalovich joins Donovan Brown to introduce Azure Dedicated Host, which is a service that provides physical servers - able to host one or more virtual machines - dedicated to one Azure subscription.Dedicated hosts are the same physical servers used in our data centers, provided as a resource. You can provision dedicated hosts within a region, availability zone, and fault domain. Then, you can place VMs directly into your provisioned hosts, in whatever configuration best meets your needs.[04:48] DemoIntroducing Azure Dedicated Host (blog)Azure Dedicated Host overivewPreview: Deploy VMs to dedicated hosts using the Azure CLIPreview: Deploy VMs to dedicated hosts using the portalPreview: Deploy VMs to dedicated hosts using the Azure PowerShellAzure Dedicated Host pricingPreview: Azure Dedicated Hosts (docs)Create a free account (Azure)</p>

<p>Danny Strockis joins Scott Hanselman to discuss decentralized identity, which gives users ownership of their digital identities and data by leveraging permissionless distributed ledgers.[04:07] Authentication concept[10:30] DemoDecentralized identity – Own your own identityDecentralized Identity Developer DocsDIF – Decentralized Identity Foundationdecentralized-identity GitHub repoCreate a free account (Azure)</p>

<p>Byron Tardif joins Scott Hanselman to show how to leverage Azure App Service features to empower your DevOps to achieve sophisticated scenarios like testing in production using deployment slots with just a few clicks.Azure App Service overviewSet up staging environments in Azure App ServiceAzure App Service docsCreate a free account (Azure)</p>

<p>Deborah Chen joins Scott Hanselman to share some best practices on how to debug and optimize Azure Cosmos DB for better performance. Watch as they go through the common issues newcomers to Azure Cosmos DB run into with respect to performance and how to solve them by tuning Request Unit (RU) cost and choosing a good partition key.Azure Cosmos DB - Globally distributed, multi-model database service for any scaleOptimize provisioned throughput cost in Azure Cosmos DBOptimize query cost in Azure Cosmos DBPartitioning in Azure Cosmos DBRequest Units in Azure Cosmos DBCreate a free account (Azure)</p>

<p>Jane Mareth joins Scott Hanselman to show how nonprofits with limited budgets can accelerate their cloud adoption with Azure Foundation for nonprofits. The Azure Foundation provides prescriptive scripts, documentation, and diagrams to help nonprofits quickly adopt Microsoft Azure. Azure Foundation also includes governance and security guidance specific to the most common nonprofit scenarios.Azure cloud solutions for nonprofitsGet started with Azure FoundationMicrosoft TechSparkwillstg/AzureFoundation GitHub repoMicrosoft for nonprofitsCreate a free account (Azure)</p>

<p>Data integration is complex and has many moving parts that spans across hybrid data environments. Typically, data integration projects have dependencies upstream and downstream making dependencies an important aspect to consider in any job scheduling.Gaurav Malhotra joins Scott Hanselman to show how you can create dependent pipelines in Azure Data Factory by creating dependencies between tumbling window triggers in your pipelines. Using these dependencies assures you that the trigger is only executed after the successful execution of the dependent trigger in your data factory.Create a tumbling window trigger dependency docsAzure Data Factory overviewAzure Data Factory pricing(blog post mentioned at [07:16] not published yet)Create a free account (Azure)</p>

<p>In high performance computing (HPC) workloads, access to storage matters. In this episode, Scott Hanselman and Ron Hogue discuss the new Azure FXT Edge Filer, a new appliance that creates a powerful cache on-premises connecting network attached storage (NAS) and Azure Blob.Azure FXT Edge Filer overviewAzure FXT Edge Filer DocumentationAzure FXT Edge Filer Hybrid Storage Cache: Fast File Access and Active Archive for HPC datasheetAzure FXT Edge Filer now generally available (blog post)Create a free account (Azure)</p>

<p>Michael Hansen joins Scott Hanselman to explain what FHIR is and how to get started with FHIR on Azure. Fast Healthcare Interoperability Resources (or, FHIR) is a new standard for representing and exchanging healthcare data. Developed by the HL7 community to address problems with interoperability, pieces of healthcare data are represented as resources in FHIR (i.e, a patient is a resource, observation is a resource, etc.). Resources are healthcare data objects with properties (e.g., a patient has a name) and relationships. The FHIR specification also describes how to exchange these objects using a REST API. A FHIR server is a REST API that enables you to search, retrieve, modify, and delete healthcare data objects. Microsoft developed a first-party FHIR server, which is available as an open source project on GitHub and as a managed service, Azure API for FHIR.Jump To:[04:30] Demo Start Azure API for FHIRAzure API for FHIR Preview docsmicrosoft/fhir-server (GitHub)microsoft/fhir-server-samples (GitHub)HL7 FHIR standards frameworkCreate a free account (Azure)</p>

<p>Sarah Young joins Scott Hanselman to discuss Azure Sentinel, which is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution. Azure Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response.Jump To: [03:35] Demo Start Azure Sentinel overviewQuickstart: Onboard Azure SentinelQuickstart: Create your first automated workflow with Azure Logic AppsAzure/Azure-Sentinel on GitHubCreate a free account (Azure)</p>

<p>Justin Luk joins Scott Hanselman to discuss AKS preview features and enabling new functionality like Virtual Machine Scale Set node pools and Availability Zones. Availability Zones (AZ) is a high availability offering from Azure that protects applications and data from datacenter failures. By using AZ with Azure Kubernetes Service (AKS), you will get higher reliability and resiliency for your applications running on Kubernetes.Jump To: [02:19] Demo Start Preview - Create an Azure Kubernetes Service (AKS) cluster that uses Availability ZonesAvailability Zones support is now available for Azure Kubernetes Service (AKS) in previewAzure Kubernetes Service docsWhat are Availability Zones in Azure?Learn more about KubernetesCreate a free account (Azure)</p>

<p>Did you know that by default, all pods in a Kubernetes cluster will accept traffic from any source? Now, with network policies available out-of-the-box in Azure Kubernetes Service you can isolate pods, control egress & ingress traffic, and secure your workloads. Saurya Das is here to show us how it works.Jump To:[02:03] Demo StartSecure traffic between pods using network policies in Azure Kubernetes Service (AKS) docsAzure Kubernetes Service (AKS) docsAzure Kubernetes Service (AKS) overviewLearn about KubernetesCreate a free account (Azure)</p>

<p>Azure Data Share is available in public preview today, and offers a simple pane of glass over your data sharing relationships. In this episode, you will learn how to easily provision a new data share, add datasets to it, specify your terms of use and invite recipients. Joanna walks through how you can stay in control of your data through monitoring and governance features which ensure you are always in control of your data.Jump To:[02:50] Demo Start Azure Data Share overviewAzure Data Share Preview documentationTutorial: Share your data using Azure Data Share PreviewAnnouncing preview of Azure Data Share blog postCreate a free account (Azure)</p>

<p>Windows Container support is available in preview in Azure App Service. By deploying applications via Windows Containers in Azure App Service you can install your dependencies inside the container, call APIs currently blocked by the Azure App Service sandbox and use the power of containers to migrate applications for which you no longer have the source code. All of this and you still get to use the awesome feature set enabled by Azure App Service such as auto-scale, deployment slots and increased developer productivity.Jump To:[02:30] Demo Start Windows Server 2019 support now available for Windows Containers on Azure App ServiceWindows Containers on Azure App Service wikiRun a custom Windows container in Azure (preview)Migrate an ASP.NET app to Azure App Service using a Windows container (Preview)Azure App Service documentationApp Service pricingPublic preview: Windows Server 2019 container support in Azure App ServiceCreate a free account (Azure)</p>

<p>Learn Michael Crump's latest Azure tips and tricks that will help you be more productive working with Azure in Visual Studio 2019.Jump To:[00:40] Demo Start Azure Tips and Tricks projectAzure Tips and Tricks videosTip 130: Visual Studio app settingsTip 43: Logic apps in Visual StudioTip 44: Deploy through Visual StudioCreate a free account (Azure)</p>

<p>Learn some of Michael Crump's favorite Azure tips and tricks—some long-standing, and new ones that have recently been added to become more productive with Azure. Watch this video to shave time off your coding tasks.Jump To:[00:35] Demo Start Azure Tips and Tricks projectTip 1: Quickly Changing ThemesTip 23: Testing in ProductionTip 33: LocksTip 31: Email AlertsCreate a free account (Azure)</p>

<p>Learn Michael Crump's latest Azure tips and tricks that will help you be more productive working with Azure in Visual Studio 2019.Jump To:[04:01] Demo Start Azure Tips and Tricks siteAzure Tips and Tricks videosAzure Tips and Tricks GitHub repoCreate a free account (Azure)</p>

<p>Jenny Hunter joins Donovan to showcase a new integration inside Azure Policy that enables you to see recent changes to the properties for non-compliant Azure resources. Public preview of the Resource Change History API is also now available.Jump To:[00:40] Demo Start Determine causes of non-compliance: Change history (Preview)Public Preview: Resource Change History APIResource Graph: Get resource changesAzure Policy overviewCreate a free account (Azure)</p>