Working with Microsoft, HashiCorp launched Vault with a number of features to make secret management easier to automate in Azure cloud. Yoko Hyakuna from HashiCorp joins Donovan Brown to show how Azure Key Vault can auto-unseal the HashiCorp Vault server, and then how HashiCorp Vault can dynamically generate Azure credentials for apps using its Azure secrets engine feature.Jump To: [01:27] Demo Start HashiCorp Vault project websiteGet started with VaultAuto-unsealing Vault using Azure Key Vault guideVault server configuration with Azure Key VaultAzure Secrets Engine docHow does Vault encrypt data?Create a free account (Azure)Follow @donovanbrown Follow @HashiCorpNever miss an episode: Follow @AzureFriday

As the adoption of Kubernetes grows, secret management tools must integrate well with Kubernetes so that the sensitive data can be protected in the containerized world. On this episode, Yoko Hakuna demonstrates the HashiCorp Vault's Kubernetes auth method for identifying the validity of containers requesting access to the secrets.Jump To: [01:38] Demo Start HashiCorp Vault project websiteGet started with VaultKubernetes Auth Method docVault Agent with Kubernetes guideVault Agent docHow does Vault encrypt data?Open Source Security Best Practices for Developers, Contributors, and Maintainers (The Open Source Show)Create a free account (Azure)Follow @donovanbrown Follow @HashiCorpNever miss an episode: Follow @AzureFriday

Gaurav Malhotra joins Lara Rubbelke (@sqlgal) to show how to use predefined Azure Data Factory pipeline templates to get started quickly with Azure Data Factory thereby reducing the development time for building data integration projects.Jump To: [00:58] Demo Start Overview of templates for Azure Data FactoryAzure Data Factory overviewAzure Data Factory docsAzure Data Factory pricingGet started quickly using templates in Azure Data Factory (blog post)Create a free account (Azure)Follow @sqlgal Follow @dataazureDon't miss an episode: Follow @AzureFriday

Alex Frankel (@sonofdiesel) joins Scott Hanselman (@shanselman) to discuss Azure Blueprints. Environment creation can be a long and error prone process. Azure Blueprints helps you deploy and update cloud environments in a repeatable manner using composable artifacts such as policies, role-based access control, and Azure Resource Manager templates.Jump To: [05:05] Demo Start Azure Blueprints docsGetting started with Blueprints YouTube seriesManaging Blueprints-as-codeCreate a free account (Azure)Follow @SHanselman Follow @sonofdieselNever miss an episode: Follow @AzureFriday

Manoj Raheja joins Lara Rubbelke (@sqlgal) to demonstrate Azure Data Explorer (ADX) and provide an overview of the service from provisioning to querying. ADX is a fast, fully managed data analytics service for real-time analysis on large volumes of streaming data. It brings together a highly performant and scalable cloud analytics service with an intuitive query language to deliver near-instant insights.Jump To: [02:10] Demo Start Azure Data Explorer overviewAzure Data Explorer docsAzure Data Explorer pricingCreate a free account (Azure)Follow @sqlgal Follow @AzDataExplorerNever miss an episode: Follow @AzureFriday

Learn about the new code-free visual data transformation capabilities in Azure Data Factory as Gaurav Malhotra joins Lara Rubbelke (@sqlgal) to demonstrate how you can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of the distributed infrastructure.Jump To: [02:45] Demo Start Azure Data Factory mapping data flowsAzure Data Factory overviewAzure Data Factory docsAzure Data Factory pricingCreate a free account (Azure)Follow @sqlgal Follow @DataAzureNever miss an episode: Follow @AzureFriday

Gaurav Malhotra and Scott Hanselman (@shanselman) explore tagging support and enhanced monitoring capabilities, including dashboards and improved debugging support in Azure Data Factory. Data integration is complex and the ability to monitor your data factory pipelines is a key requirement for dev ops personnel inside an enterprise.Now, you can tag/annotate your data factory pipelines to monitor all the pipeline executions with that particular tag. In addition, Data Factory visual tools provide dashboards to monitor your pipelines and an ability to monitor your pipeline execution by the Integration Runtime (IR) upon which the activities execute.Jump To: [01:45] Demo Start Alert and Monitor data factories using Azure MonitorAzure Data Factory overviewAzure Data Factory docsAzure Data Factory pricingCreate a free account (Azure)Follow @SHanselman Follow @DataAzureDon't miss an episode: Follow @AzureFriday

Steve Steuart from Astadia joins Scott Hanselman to show how a mainframe reference architecture based on Azure enables you to deploy your mainframe assets to a native Azure environment. You can the leverage all the available Azure services with your new mainframe in the cloud, including AI, Power BI, IoT, and Machine Learning.Jump To: [04:40] Demo Start Mainframe Migration - Azure Migration CenterIBM Mainframe to Microsoft Azure Reference Architecture (Astadia whitepaper)Moving COBOL Workload to Microsoft Azure (Astadia webinar)Shifting Unisys Mainframe to Microsoft Azure (Astadia webinar)Shifting IBM Mainframe to Microsoft Azure (Astadia webinar)Supporting cost saving and improved performance at WorkSafe (Astadia video)Create a free account (Azure)Follow @SHanselman Follow @AstadiaInc Follow @SteveAstadiaDon't miss an episode Follow @AzureFriday

Chris Anderson (@crandycodes) joins Donovan Brown (@donovanbrown) to discuss Azure Cosmos DB JavaScript SDK 2.0, which adds support for multi-region writes, a new fluent-style object model—making it easier to reference Azure Cosmos DB resources without an explicit URL—and support for promises and other modern JavaScript features. It is also written in TypeScript and supports the latest TypeScript 3.0.Jump To: [00:42] Demo Start Azure Cosmos DB JavaScript SDK 2.0 now generally available (blog post)JavaScript and Node.js library for Azure Cosmos DB (GitHub)Azure Cosmos DB: Build a Node.js app using JavaScript SDK to manage Azure Cosmos DB SQL API data (docs)Azure Cosmos DB (overview)Azure Cosmos DB (pricing)Create a free account (Azure)Follow @donovanbrown Follow @azurecosmosdb Follow @crandycodesDon't miss an episode: Follow @AzureFriday

Data Integration is complex and helps organizations to combine data and complex business processes in hybrid data environments. The increase in volume, variety and velocity of data has led to delays in monitoring and reacting to issues. Organizations want to reduce the risk of data integration activity failures and the impact to other downstream processes.Manual approaches to monitoring data integration projects are inefficient and time consuming. As a result, organizations want to have automated processes to monitor and manage data integration projects to remove inefficiencies and catch issues before they affect the entire system.In this episode, Gaurav Malhotra joins Scott Hanselman to show how organizations can now improve operational productivity by creating alerts on data integration events (success/failure) and proactively monitor their Azure Data Factories.Jump To: [01:32] Demo Start Visually monitor Azure data factories - Alerts (docs)Create alerts to proactively monitor your data factory pipelines (blog post)Azure Data Factory documentationAzure Data Factory pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @DataAzure