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    Software How-To

    Azure Friday

    Join Scott Hanselman every Friday as he engages one-on-one with the engineers who build the services that power Microsoft Azure as they demo capabilities, answer Scott’s questions, and share their insights. Follow us at: friday.azure.com.

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    Copyright: © Copyright 2022

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    Latest Episodes:
    Go on Azure: Part 2—CI/CD, Docker, and Kubernetes with VSTS Aug 28, 2018
    Show notes

    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


    Go on Azure: Part 1—Build Go apps with Visual Studio Code Aug 28, 2018
    Show notes

    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


    Azure Stack - An extension of Azure Aug 23, 2018
    Show notes

    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


    Monitor Data Factory pipelines using Azure Monitor and Log Analytics Aug 16, 2018
    Show notes

    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


    Getting started with the Secure DevOps Kit for Azure (AzSK) Aug 13, 2018
    Show notes

    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


    Azure Data Factory visual tools now integrated with GitHub Aug 10, 2018
    Show notes

    Gaurav Malhotra joins Lara Rubbelke to discuss how you can associate a GitHub repository (public & 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


    Siphon on HDInsight Kafka Aug 09, 2018
    Show notes

    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


    Provisioning Kubernetes clusters on AKS using HashiCorp Terraform Aug 06, 2018
    Show notes

    Anubhav Mishra (Developer Advocate, HashiCorp), joins Scott Hanselman to discuss how to use HashiCorp Terraform to create & 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


    Execute Jars and Python scripts on Azure Databricks using Data Factory Aug 03, 2018
    Show notes

    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


    HDInsight: Fast Interactive Queries with Hive on LLAP Aug 02, 2018
    Show notes

    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


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