Azure Friday
800 episodes — Page 7 of 16
Pros and cons of stable and unique tags in Docker image tagging
<p>Steve Lasker joins Scott Hanselman to talk about best practices for Docker image tagging, and the tradeoffs between stable and unique tagging techniques.Jump To; [05:10] Demo Start Docker Tagging Best PracticesAzure Container RegistryACR TasksACR PresentationsKubernetes objects on Microsoft AzureACR Helm RepositoriesCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @SteveLasker</p>
Azure API Management for serverless applications
<p>The API Management consumption tier fills helps round out the Azure serverless offering with Azure API Management for serverless applications. In this episode, Mike Budzynski join Scott Hanselman to explain the serverless properties of the new tier and demonstrate how to build a highly scalable serverless application with Function Apps and expose it with API Management.Jump To: [02:49] Demo Start API Management documentationAPI Management overviewAPI Management pricingAPI Management roadmapCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @AzureApiMgmt</p>
Azure Container Registry Tasks: Build and deploy to Azure App Service
<p>Steve Lasker joins Scott Hanselman to talk about Azure Container Registry (ACR) Tasks and how you can build your container images in Azure for the three phases of development: pre-commit, team commits, and post-development for OS &amp; Framework Patching.Jump To: [01:03] Demo Start For more information:Azure Container Registry (ACR) overviewACR TasksACR PresentationsCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @SteveLasker</p>
Azure HDInsight: New Spark UI extensions for better job performance analysis
<p>Maxim Lukiyanov and Scott Hanselman discuss intricate ways in which Apache Spark jobs can fail in production and how new diagnostics tools, now available in Azure HDInsight, visualize these problems in a new intuitive way and help discover and understand them from the first glance.Jump To: [04:13] Demo Start For more information:Spark Debugging and Diagnostics Toolset for Azure HDInsight (blog post)Apache Spark for Azure HDInsight overviewCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Azure</p>
Faster, more accessible edge HPC with Avere vFXT for Azure
<p>Scott Jeschonek joins Azure Friday and Lara Rubbelke to introduce Avere vFXT for Azure, a new Azure Marketplace product with big possibilities for high-performance computing (HPC) environments. Avere vFXT for Azure solves the core issue of running performance-demanding workloads that require NFS backends in the cloud, leveraging either on-premises storage or Azure Blob, without the expected latency or storage bottlenecks inherent to read-heavy processing.Jump To: [09:25] Demo Start For more information:Avere vFXT for Azure overviewAvere vFXT for Azure (Azure Marketplace)Avere vFXT for Azure documentationCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @Azure</p>
Build real-time LiveOps into games with PlayFab
<p>Modern games require more powerful development tools, global and flexible multiplayer support, and new revenue models. PlayFab is a complete back-end platform for live games and a powerful way for independent studios to get started. Boost revenue, engagement, and retention—while cutting costs—with game services, real-time analytics, and LiveOps.Jump To: [02:00] Demo Start For more information:PlayFab overviewPlayFab documentationPlayFab pricingAzure Gaming - Cloud Game DevelopmentCreate a free account (PlayFab)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @gwertz</p>
Azure Event Hubs for Apache Kafka
<p>Shubha Vijayasarathy joins Scott Hanselman to discuss Azure Event Hubs, which makes data ingestion simple, secure, and scalable. As a distributed streaming platform, Event Hubs enables you to stream your data from any source—storing and processing millions of events per second— so you can build dynamic data pipelines and respond to business challenges in real time.With Azure Event Hubs for Apache Kafka, we're bringing together two powerful distributed streaming platforms, so you can access the breadth of Kafka ecosystem applications without having to manage servers or networks. Event Hubs for Kafka provides a Kafka endpoint so that any Kafka client running Kafka 1.0 or newer protocols can publish/subscribe events to/from Event Hubs with a simple configuration change.Jump To: [06:45] Demo Start Azure Event Hubs docsAzure Event Hubs samples (GitHub)Azure Event Hubs overviewAzure Event Hubs pricingAnnouncing the general availability of Azure Event Hubs for Apache Kafka® (blog post)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @ShubhaVijaya</p>
SAP HANA infrastructure automation with Terraform and Ansible
<p>Page Bowers and Donovan Brown discuss how SAP customers are moving to Azure to take advantage of SAP-certified HANA virtual machines such as Azure M-series. Learn how you can use Terraform and Ansible to speed up SAP HANA deployments on Azure in 30 minutes as opposed to hours or days.Jump To: [01:48] Demo Start For more information:Automated SAP Deployments in Azure Cloud (GitHub)SAP on AzureAutomating SAP deployments in Microsoft Azure using Terraform and Ansible (blog post)Create a free account (Azure)Follow @donovanbrown Follow @AzureFriday Follow @Azure</p>
RI instance size flexibility & reservations for Azure Cosmos DB, SQL DB, and SUSE
<p>Yashesvi Sharma joins Scott Hanselman to discuss reserved virtual machine instances and how the reservation you buy can apply to other virtual machines (VMs) sizes in the same size series group. This ensures that you maximize your discounts and make reservation management easier. Also, you can now save even more by purchasing reservations for SQL Database, Azure Cosmos DB, and SUSE Linux usage on Azure.Jump To: [02:24] Demo Start For more information:What are Azure Reservations?Virtual machine size flexibility with Reserved VM InstancesAzure Reserved VM Instances (RIs) overviewAzure SQL Database pricingAzure Cosmos DB pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @AzureBilling</p>
Hybrid data movement across multiple Azure Data Factories
<p>Gaurav Malhotra and Scott Hanselman discuss how you can now share a self-hosted Integration Runtime (IR) across multiple data factories and consolidate on a single, highly available, multi-node (up to 4 nodes) self-hosted IR infrastructure. Doing so removes the need for separate, self-hosted IRs per project/data factory making it more manageable for the IT/DevOps team.Jump To: [03:05] Demo Start For more information:Sharing the self-hosted integration runtime with multiple data factories (docs)Sharing a self-hosted Integration Runtime infrastructure with multiple Data Factories (blog post)Azure Data Factory overviewAzure Data Factory pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @DataAzure</p>
Bring your own keys on Apache Kafka with Azure HDInsight
<p>Dhruv Goel and Scott Hanselman discuss why enterprise customers trust Apache Kafka on Azure HDInsight with their streaming ingestion needs. Get even more control over the security of your data at rest with Bring-Your-Own-Key encryption for Kafka. With Azure HDInsight, you get the best of open source and the security and reliability of a managed platform.Jump To: [06:57] Demo Start For more information:Bring your own key for Apache Kafka on Azure HDInsight (Preview)Azure HDInsight - Hadoop, Spark, and Kafka ServiceAzure HDInsight pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @AzureHDInsight</p>
Fine-grained security with Apache Ranger on HDInsight Kafka
<p>Dhruv Goel and Scott Hanselman discuss why enterprise customers trust Apache Kafka on Azure HDInsight with their streaming ingestion needs. Integrate Kafka with Azure Active Directory for authentication and set up fine-grained access control with Apache Ranger to let multiple users access Kafka easily and securely. With Azure HDInsight, you get the best of open source on a managed platform.Jump To: [04:45] Demo Start For more information, see:Tutorial: Configure Kafka policies in HDInsight with Enterprise Security Package (Preview)Azure HDInsight - Hadoop, Spark, and Kafka ServiceAzure HDInsight pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @AzureHDInsight</p>
PowerShell in Azure Cloud Shell GA
<p>Danny Maertens and Scott Hanselman discuss updates made to PowerShell in Azure Cloud Shell. Learn about PowerShell Core in Linux, new Azure VM remoting cmdlets, and integration with Exchange.Jump To: [00:43] Demo Start For more information:Azure Cloud Shell documentationQuickstart for PowerShell in Azure Cloud ShellAzure Cloud Shell overviewAzure Cloud Shell pricingAzure Cloud Shell updatesWhat's new in PowerShell in Azure Cloud Shell (blog post)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Maertend33</p>
Scaling effortlessly with Service Fabric Mesh
<p>Shortly before Ignite 2018, Chacko Daniel joined Scott Hanselman to show off the effortless way to scale a service from 3 replicas/containers to 1500 in seconds using Azure Service Fabric Mesh and to talk about the mesh features in the pipeline (see: Azure Service Fabric updates at Ignite 2018).Jump To: [02:24] Demo Start For more information:Azure Service Fabric Mesh preview | Azure FridayAzure Service Fabric Mesh documentationAzure Service Fabric Mesh samplesAzure Service Fabric overviewAzure Service Fabric pricingAzure Service Fabric updates at Ignite 2018Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @chackod</p>
Parameterize connections to your data stores in Azure Data Factory
<p>Azure Data Factory enables you to do hybrid data movement from 70 plus data stores in a serverless fashion. Gaurav Malhotra and Scott Hanselman discuss how you can now parameterize your connections to data stores and pass dynamic values at run time in Azure Data Factory. For example, you may need to connect to ten different databases in your Azure SQL Server and the only difference between those ten databases is the database name.Jump To: [02:26] Demo Start Parameterize linked services in Azure Data Factory (docs)Parameterize connections to your data stores in Azure Data Factory (blog post)Azure Data Factory overviewAzure Data Factory pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @DataAzure</p>
Introducing new Azure API Management capabilities
<p>Miao Jiang joins Scott Hanselman discuss the API economy and how companies must master the challenges inherent in building, maintaining, managing, and exposing APIs to participate. That's where Azure API Management can help. Azure API Management is a solution for publishing APIs to external and internal consumers. With Azure API Management, you can take any backend system, hosted anywhere, and expose it through a modern API gateway. Join us to learn about new features and how to expose your APIs with peace of mind.Jump To: [02:05] Demo Start For more information:API Management documentationAzure/api-management-samples GitHub repoAPI Management product overviewAPI Management pricingAzure API Management roadmapPublish multiple versions of your API (docs)How to integrate Azure API Management with Azure Application Insights (docs)Tagging – now available in public preview (blog post)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @miaojiang</p>
Full-stack end-to-end monitoring with Azure Monitor
<p>Rahul Bagaria joins Lara Rubbelke to discuss Azure Monitor, which now includes Log Analytics and Application Insights. Azure Monitor provides full stack monitoring tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.Jump To: [02:28] Demo Start For more information:Azure Monitor documentationApp + Workload Performance Monitoring overviewAzure Monitor pricingNew full stack monitoring capabilities in Azure MonitorCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @AzureMonitor</p>
Troubleshoot and diagnose Azure Virtual Machines with Serial Console
<p>Alfred Sin joins Donovan Brown to discuss the Azure Serial Console, which is now generally available in all public clouds. Serial console enables you to use an interactive shell in situations where you may be unable to SSH or RDP into your VM, which make it super-easy for troubleshooting and self-serve diagnosing of your VM.Jump To: [02:12] Demo Start For more information:Virtual Machine Serial Console for Windows VMs docsVirtual Machine Serial Console for Linux VMs docsCreate a free account (Azure)Follow @donovanbrown Follow @AzureFriday Follow @Azure</p>
Azure Front Door Service (Preview)
<p>Sharad Agrawal joins Lara Rubbelke to discuss the recently announced Azure Front Door Service, which takes your application availability global and real-time while maximizing performance by connecting you to your users using Microsoft's massive global edge network. In this session, you'll learn how to set up a Front Door for your application and the performance and reliability benefits you can achieve.Jump To: [05:50] Demo Start For more information:In-portal getting started experienceAzure Front Door Service overviewAzure Front Door Service docsAzure Front Door Service pricingAnnouncing public preview of Azure Front Door Services (blog)Create a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @azure</p>
Introducing Azure Data Box Edge
<p>Andrew Mason joins Donovan Brown to introduce Data Box Gateway and Data Box Edge, two new data network transfer solutions from Azure. They both enable easy data transfer to the cloud, with Data Box Edge providing pre-processing for fast, local results or to modify the data before upload.Jump To: [01:40] Demo Start For more information:Azure Data Box docsAzure Data Box productsAzure Data Box pricingCreate a free account (Azure)Follow @donovanbrown Follow @AzureFriday Follow @Azure</p>
Introducing the Azure Data Box family
<p>Mathew Dickson joins Donovan Brown to discuss the Data Box family of solutions to meet the challenge of moving data to the cloud. Azure Data Box offline devices help you transfer large amounts of data to Azure when the network isn't an option. Data Box online products act as network storage gateways to intelligently manage data between your site and Azure.Jump To: [03:40] Demo Start For more information:Azure Data Box docsAzure Data Box productsAzure Data Box pricingCreate a free account (Azure)Follow @donovanbrown Follow @AzureFriday Follow @Azure</p>
Calculating isochrones in Azure Maps
<p>Julie Kohler joins Scott Hanselman and shows you how you can generate an isochrone using Azure Maps. Isochrones represent the reachable range from a given point using a set of constraints such as fuel, energy or time. These polygons can be combined with a number of features to do things like search for gas stations within a given range or find restaurants within 15 minutes given current traffic conditions.Jump To: [01:57] Demo Start For more information, see:Route Matrix, isochrones, IP lookup, and more added to Azure Maps (blog)Azure Maps overviewAzure Maps docsAzure Maps pricingAzure Maps Functional API reference docsCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Azure</p>
Mapping IP to location with Azure Maps
<p>Julie Kohler joins Scott Hanselman and shows you how to get the ISO country code for a provided IP address. Use this information to tailor your application to your customers' needs based on geographic location.Jump To: [02:10] Demo Start For more information, see:Route Matrix, isochrones, IP lookup, and more added to Azure Maps (blog)Azure Maps overviewAzure Maps docsAzure Maps pricingAzure Maps Functional API reference docsCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Azure</p>
Batch geocoding and polygons for administrative areas with Azure Maps
<p>Julie Kohler joins Scott Hanselman and shows you how to execute batch geocoding calls using Azure Maps as well as how to get the polygon for a administrative area on a map. Batch geocoding enables a developer to pass up to 10k geocoding or reverse geocoding calls in a single call while Azure Maps handles the processing in the background. The polygon feature enables developers to get the boundaries for things like cities, states and postal codes and use these for doing geometry searches or creating geofences.Jump To: [03:30] Demo StartFor more information, see:Route Matrix, isochrones, IP lookup, and more added to Azure Maps (blog)Azure Maps overviewAzure Maps docsAzure Maps pricingAzure Maps Functional API reference docsCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Azure</p>
Batch and matrix routing with Azure Maps
<p>Julie Kohler joins Scott Hanselman and shows you how to execute batch routing calls using Azure Maps as well as how to do matrix routing with a given set of origins and destinations. Batch geocoding enables developers to pass up to 1,000 routing queries with a single call while Azure Maps handles the processing in the background. For matrix routing, a developer can pass in a series of origins and destinations and get back the travel times and distances to make important decisions for their route planning for the day.Jump To: [01:52] Demo Start For more information, see:Route Matrix, isochrones, IP lookup, and more added to Azure Maps (blog)Azure Maps overviewAzure Maps docsAzure Maps pricingAzure Maps Functional API reference docsCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Azure</p>
Unlock petabyte-scale datasets in Azure with aggregations in Power BI
<p>Christian Wade joins Scott Hanselman to show you how to unlock petabyte-scale datasets in Azure with a way that was not previously possible. Learn how to use the aggregations feature in Power BI to enable interactive analysis over big data.For more information:Power BI Desktop September 2018 Feature Summary (Analytics)Aggregations in Power BI Desktop (Preview) docsMicrosoft Power BI - Interactive Data Visualization BI ToolsCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @_christianWade</p>
Azure State Configuration experience
<p>Michael Greene joins Scott Hanselman to discuss a new set of experiences for Configuration Management in Azure, and how anyone new to modern management can discover and learn new process more quickly than before.Jump To: [01:49] Demo Start For more information:Azure Automation State Configuration Overview (docs)Azure Automation overviewAzure Automation pricingAzure Automation roadmapCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @migreene</p>
Enhanced productivity using Azure Data Factory visual tools
<p>Gaurav Malhotra joins Scott Hanselman to discuss the Azure Data Factory visual tools, which enable you to iteratively create, configure, test, deploy, and monitor data integration pipelines. We took into account your feedback to enable functional, performance, and security improvements to the visual tools.Jump To: [01:41] Demo Start For more information:Enhance productivity using Azure Data Factory Visual Tools (blog post)Azure Data Factory overviewAzure Data Factory documentationAzure Data Factory pricingAzure Data Factory roadmapCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @DataAzure</p>
Azure Automation
<p>Jenny Hunter joins Scott Hanselman to discuss Azure Automation, which has seen several new improvements including support for Python 2, the ability to run against local Linux machines, the ability to run against any Azure VM with no setup (Run Command), and native Azure alert integration.Jump To: [03:27] Demo Start For more information:Azure Automation - Cloud Automation Service overviewAzure Automation User DocumentationAzure Automation samples (GitHub repo)Azure Automation pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @AzureAutomation</p>
Go on Azure: Part 7—Build a Go app with Buffalo and deploy to Azure
<p>Did you know that Buffalo has plugins for Azure? In this episode, Martin Strobel joins Erik St. Martin to demo building a Go app with Buffalo and deploying it to Azure App Service.Jump To: [01:20] Demo Start For more information:Go on AzureAzure plugin for Buffalo GitHub repoBuffalo plugins listAzure for Go developers - Tutorials, API ReferenceCreate a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio CodePart 2—CI/CD, Docker, and Kubernetes with VSTSPart 3—Go on Web Apps and Azure Kubernetes ServicePart 4—Cloud-native Go appsPart 5—Build apps with the Azure SDK for GoPart 6—Events and messagingPart 7—Build a Go app with Buffalo and deploy to Azure (this episode)Follow @erikstmartin Follow @AzureFriday Follow @mkstrobel</p>
Go on Azure: Part 6—Events and messaging
<p>Messaging services are key components of all microservices-based architectures. David Justice (Sr. Software Engineer) joins Erik St. Martin to show you some of the options for messaging services on Azure, including demos on using them with Go apps.Jump To: [06:26] Demo Start For more information:Go on AzureAzure for Go developers - Tutorials, API ReferenceCreate a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio CodePart 2—CI/CD, Docker, and Kubernetes with VSTSPart 3—Go on Web Apps and Azure Kubernetes ServicePart 4—Cloud-native Go appsPart 5—Build apps with the Azure SDK for GoPart 6—Events and messaging (this episode)Part 7—Build a Go app with Buffalo and deploy to AzureFollow @erikstmartin Follow @AzureFriday Follow @davidjustice</p>
Go on Azure: Part 5—Build apps with the Azure SDK for Go
<p>Joel Hendrix (Sr. Software Engineer) and Erik St. Martin walk you through the Azure SDK for Go, showing how you can build apps that interact with and manage Azure services.Jump To: [01:31] Demo Start For more information:Go on AzureAzure SDK for Go GitHub repoInstall the Azure SDK for Go docsAzure for Go developers - Tutorials, API ReferenceDemo repo on GitHub (jhendrixMSFT/c9demo1)Create a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio CodePart 2—CI/CD, Docker, and Kubernetes with VSTSPart 3—Go on Web Apps and Azure Kubernetes ServicePart 4—Cloud-native Go appsPart 5—Build apps with the Azure SDK for Go (this episode)Part 6—Events and messagingPart 7—Build a Go app with Buffalo and deploy to AzureFollow @erikstmartin Follow @AzureFriday</p>
Go on Azure: Part 4—Cloud-native Go apps
<p>Josh Gavant (Sr. Program Manager) joins Erik St. Martin to talk about cloud-native Go apps. Azure offers a whole host of services that Go developers can use to build apps with strong security and scalability. For example, see how Josh implements strong authentication with Azure AD, adds caching with Redis Cache, stores any kind of data on Azure Storage, and sends messages and queues jobs with Service Bus.Jump To: [02:40] Demo Start For more information:Go on Azure Azure Active Directory overviewAzure Redis Cache overviewAzure Storage overviewAzure Service Bus overviewAzure for Go developers - Tutorials, API ReferenceCreate a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio CodePart 2—CI/CD, Docker, and Kubernetes with VSTSPart 3—Go on Web Apps and Azure Kubernetes ServicePart 4—Cloud-native Go apps (this episode)Part 5—Build apps with the Azure SDK for GoPart 6—Events and messagingPart 7—Build a Go app with Buffalo and deploy to AzureFollow @erikstmartin Follow @AzureFriday Follow @joshugav</p>
Go on Azure: Part 3—Go on Web Apps and Azure Kubernetes Service
<p>Josh Gavant (Sr. Program Manager) joins Erik St. Martin to show you how to run your Go apps in a managed environment with Azure Web Apps. For larger applications, AKS offers a fully-managed Kubernetes cluster for any app and service.Jump To: [02:40] Demo Start For more information:Go on AzureAzure Kubernetes Service (AKS) overviewAzure App Service - Web Apps overviewAzure for Go developers - Tutorials, API ReferenceCreate a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio CodePart 2—CI/CD, Docker, and Kubernetes with VSTSPart 3—Go on Web Apps and Azure Kubernetes Service (this episode)Part 4—Cloud-native Go appsPart 5—Build apps with the Azure SDK for GoPart 6—Events and messagingPart 7—Build a Go app with Buffalo and deploy to AzureFollow @erikstmartin Follow @AzureFriday Follow @joshugav</p>
Go on Azure: Part 2—CI/CD, Docker, and Kubernetes with VSTS
<p>Cloud Developer Advocates Jessica Deen and Erik St. Martin show you how to get started with DevOps using Visual Studio Team Services (VSTS) for Go developers. Learn how to use the code you already have on GitHub, connect it to VSTS, and then build CI/CD pipelines to deploy your Go apps to Kubernetes on Azure. You'll also learn how you can get started with DevOps Projects on Azure, which will take care of all the scaffolding for you, including your VSTS account if you don't have one.P.S., Did you know that VSTS is free for individuals and for small teams up to five?Jump To: [01:00] Demo Start For more information:Go on AzureVisual Studio Team ServicesCroc Hunter - The game! GitHub repoAzure for Go developers - Tutorials, API ReferenceCreate a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio CodePart 2—CI/CD, Docker, and Kubernetes with VSTS (this episode)Part 3—Go on Web Apps and Azure Kubernetes ServicePart 4—Cloud-native Go appsPart 5—Build apps with the Azure SDK for GoPart 6—Events and messagingPart 7—Build a Go app with Buffalo and deploy to Azure Follow @erikstmartin Follow @AzureFriday Follow @jldeen</p>
Go on Azure: Part 1—Build Go apps with Visual Studio Code
<p>Ramya Achutha Rao (Sr. Software Engineer) joins Erik St. Martin to show you how to build Go apps with Visual Studio Code. She will be using the Go extension for VS Code which provides smart code completion, integrated debugging and a whole lot more. In the end, still using VS Code, she'll create a Docker container for the app that is ready to be pushed to the cloud.Jump To: [00:50] Demo Start For more information:Go on AzureVisual Studio Code - Code editing. Redefined.Go extension for Visual Studio CodeGo programming in VS Code docsAzure for Go developers - Tutorials, API ReferenceCreate a free account (Azure)Go on Azure series:Part 1—Build Go apps with Visual Studio Code (this episode)Part 2—CI/CD, Docker, and Kubernetes with VSTSPart 3—Go on Web Apps and Azure Kubernetes ServicePart 4—Cloud-native Go appsPart 5—Build apps with the Azure SDK for GoPart 6—Events and messagingPart 7—Build a Go app with Buffalo and deploy to AzureFollow @erikstmartin Follow @AzureFriday Follow @ramyanexus</p>
Azure Stack - An extension of Azure
<p>Ultan Kinahan joins Scott Hanselman to discuss how Azure Stack is an Azure consistent cloud platform that you can place where you need it, regardless of connectivity. It provides several key advantages to your cloud strategy, edge/disconnected capabilities, addresses governance and sovereignty concerns, and the ability to run PaaS services on premises.Jump To: [09:36] Demo Start For more information, see:Azure Stack product overviewAzure Stack pricingAzure Stack product roadmapAzure Stack Operator documentationCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @ultankinahan</p>
Monitor Data Factory pipelines using Azure Monitor and Log Analytics
<p>Gaurav Malhotra joins Scott Hanselman to discuss Azure Data Factory (ADF) integration with Azure Monitor, which enables you to route your data factory metrics to Azure Monitor and Log Analytics. Get the Azure Data Factory Analytics Management Solution service pack from the Azure marketplace.NOTE Throughout this episode there are multiple references to Operations Management Suite; however, this solution actually uses Azure Monitor and Log Analytics.Jump To: [01:33] Demo Start For more information:Monitor Azure Data Factory with Operations Management Suite (OMS) (docs)Monitor Data Factory pipelines using Operations Management Suite (blog post)Azure Data Factory overviewAzure Data Factory pricingAzure Data Factory documentationAzure Data Factory Management Solution Service Pack (Azure Marketplace)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @Azure</p>
Getting started with the Secure DevOps Kit for Azure (AzSK)
<p>Mark Jacobs joins Scott Hanselman to discuss how Microsoft's internal enterprise increases compliance and creates a more trusted cloud environment using the Secure DevOps Kit for Azure (AzSK). Learn how Microsoft's DevOps teams leverage this tool to continuously keep their cloud applications secure and how you can use the same tool to reduce risk in your environment.Jump To: [06:25] Demo Start For more information:Secure DevOps Kit for AzureSecure DevOps Kit for Azure documentationGetting started with the Secure DevOps Kit for AzureCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @azure</p>
Azure Data Factory visual tools now integrated with GitHub
<p>Gaurav Malhotra joins Lara Rubbelke to discuss how you can associate a GitHub repository (public &amp; enterprise) to your Azure Data Factory for collaboration, versioning, source control.Jump To: [00:35] Demo Start For more information, see:Azure Data Factory Visual tools now support GitHub integration (blog post)Visual authoring in Azure Data Factory - Author with GitHub integration (docs)Azure Data Factory overviewAzure Data Factory pricingAzure Data Factory docsCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @Azure</p>
Siphon on HDInsight Kafka
<p>Thomas Alex joins Lara Rubbelke to discuss how Microsoft uses Apache Kafka for HDInsight to power Siphon, a data ingestion service for internal use. Apache Kafka for HDInsight is an enterprise-grade, open-source, streaming ingestion service. Microsoft created Siphon as a highly available and reliable service to ingest massive amounts of data for processing in near real time. Siphon handles ingestion of over a trillion events per day across multiple business-critical scenarios at Microsoft. In this episode, learn how Siphon uses Apache Kafka for HDInsight as its scalable pub/sub message queue.Jump To: [01:50] Demo Start For more information:Quickstart: Create a Kafka on HDInsight clusterTutorial: Use Spark Structured Streaming with Kafka on HDInsightApache Kafka for HDInsight overviewAzure HDInsight pricingSiphon: Streaming data ingestion with Apache KafkaCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @AzureHDInsight</p>
Provisioning Kubernetes clusters on AKS using HashiCorp Terraform
<p>Anubhav Mishra (Developer Advocate, HashiCorp), joins Scott Hanselman to discuss how to use HashiCorp Terraform to create &amp; manage Kubernetes clusters in Azure using Azure Kubernetes Service (AKS). Mishra further explains the benefits of using Terraform to provision Azure infrastructure and demonstrates how to configure a Kubernetes cluster on AKS.Jump To: [01:52] Demo Start For more information:HashiCorp Terraform overviewGet started with Terraform EnterpriseAzure Kubernetes Service (AKS) with Terraform (GitHub)Azure Kubernetes Service (AKS) overviewDevOps Tools Integration - HashiCorp TerraformTerraform on Azure documentationCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @anubhavm</p>
Execute Jars and Python scripts on Azure Databricks using Data Factory
<p>Gaurav Malhotra joins Lara Rubbelke to discuss how you can operationalize Jars and Python scripts running on Azure Databricks as an activity step in a Data Factory pipeline.Jump To: [01:55] Demo Start For more information:Transform data by running a Jar activity in Azure Databricks docsTransform data by running a Python activity in Azure Databricks docsAzure Databricks overviewAzure Data Factory overviewCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday</p>
HDInsight: Fast Interactive Queries with Hive on LLAP
<p>Murali Krishnaprasad joins Lara Rubbelke to discuss Interactive Query (also called Hive LLAP, or Low Latency Analytical Processing, or Live Long and Process), which is an Azure HDInsight cluster type. Interactive Query supports in-memory caching, which makes Hive queries super-fast and interactive. See how to use HDInsight Interactive Query to analyze extremely large datasets (~100TB) in common file formats such as ORC and CSV using common BI/SQL tools including Zeppelin notebooks and VS Code.Jump To: [04:12] Demo Start For more information, see:Use Interactive Query with HDInsight (docs)HDInsight overviewHDInsight pricing detailsCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @AzureHDInsight</p>
Automate Azure Resources with Ansible
<p>Kylie Liang joins Lara Rubbelke to demo how to use Ansible, an open-source, simple IT automation engine for automating cloud provisioning, configuration management and application deployments on Azure. Kylie also shares the roadmap for Ansible on Azure.Jump To:[00:15] Demo Start For more information:Ansible in Azure Documentation (docs)Ansible Playbook Samples for Azure (GitHub)Ansible modules (GitHub)Microsoft Azure Guide on Ansible (docs)Ansible on Azure RoadmapAnsible Visual Studio Code Extension on Visual Studio MarketplaceAzure Preview Modules on AnsibleCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @LiangKylie</p>
Azure Stream Analytics: Managing timelines and coding on IoT Edge
<p>Jean-Sébastien Brunner joins Lara Rubbelke to discuss new features that enable you to implement the intelligent cloud, intelligent edge vision for streaming analytics: Stream Analytics running real-time analytics with custom code on IoT Edge. We also discuss substreams, which is a new time management feature for independently processing the timeline of each device (very useful for an IoT scenario), and the recently announced Session Window.Jump To:[01:12] Demo Start For more information:Azure Stream Analytics (product info)Azure Stream Analytics now available on IoT Edge (Azure blog)4 new features now available in Azure Stream Analytics (Azure blog)Announcing real-time Geospatial Analytics in Azure Stream Analytics (Azure blog)Azure Stream Analytics DocumentationCreate a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @AzureStreaming</p>
ACR Build: Automate Docker builds with OS and framework patching
<p>Steve Lasker joins Lara Rubbelke to discuss ACR Build, a cloud-native container build solution enabling pre-check, git commit and base image update docker builds for OS and framework patching. Jump To:[03:18] Demo Start For more information: Automate OS and framework patching with ACR Build (docs)Demo 42 sample (GitHub)Azure Container Registry (product info)Azure Container Registry (pricing)Azure Container Registry Roadmap (GitHub)Create a free account (Azure)Follow @sqlgal Follow @AzureFriday Follow @stevelasker</p>
Event-based data integration with Azure Data Factory
<p>Gaurav Malhotra joins Scott Hanselman to discuss Event-driven architecture (EDA), which is a common data integration pattern that involves production, detection, consumption, and reaction to events. Learn how you can do event-based data integration using Azure Data Factory.Jump To:[01:53] Demo Start For more information:Event trigger-based data integration with Azure Data Factory (blog post)Create a trigger that runs a pipeline in response to an event (docs)Azure Data Factory product infoAzure Data Factory pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday</p>
Azure Cloud Shell editor
<p>Justin Luk joins Scott Hanselman to show the new Azure Cloud Shell editor. Since its launch, Cloud Shell included a variety of editors (vi, emacs, and nano) for editing files. In collaboration with the Visual Studio Code team and their open-source Monaco project, the same web standards-based editor that powers Visual Studio Code is now integrated directly into Cloud Shell.Jump To:[02:05] Demo StartFor more informationCloud Shell documentationCloud Shell feature pageCloud Shell pricingMonaco project (GitHub repo)Announcing the Azure Cloud Shell editor in collaboration with Visual Studio Code (blog post)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @whosjluk</p>
Azure Service Fabric Mesh preview
<p>Chacko Daniel joins Scott Hanselman to discuss Azure Service Fabric Mesh, which offers the same reliability, mission-critical performance and scale customers get with Service Fabric, but no more overhead of cluster management and patching operations. Service Fabric Mesh supports both Windows and Linux containers allowing you to develop with any programming language and framework of your choice.Jump Tp:[04:35] Demo StartFor more information:Azure Service Fabric Mesh documentationAzure Service Fabric Mesh samplesAzure Service Fabric Mesh pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @chackod</p>