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

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

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

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

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

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

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

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

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

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