Azure Friday

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)

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)

Sydney Smith joins Scott Hanselman to show the rich editing experience provided by the PowerShell extension in Azure Data Studio by creating a SQL Server in a Linux Docker container with external storage—all using PowerShell Core in Azure Data Studio.To get started with the notebook used in the episode check out: PowerShell/vscode-powershell[00:01:36] Demo - Getting started - installing modules[00:04:45] Demo - Creating a new editor filePowerShell Editor Support for Azure Data StudioThe PowerShell Extension is now in the Azure Data Studio MarketplaceWhat is Azure Data Studio?Create a SQL Server on Linux Container with 5 Lines of CodeBuild Docker Containers with External Storage on Your DesktopCreate a free account (Azure)

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)

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)

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)

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)

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)

Azure Cosmos DB keeps getting better with a preview of notebook support, we've got Apache Spark, great new optimizations in queries, and idiomatic SDKs now on v3. Kirill Gavrylyuk is back once again with all the updates.[00:46] Jupyter Notebooks and Apache Spark[03:21] Standalone Data Explorer with AD support[04:21] Query optimizations[07:18] Idiomatic improvements to Azure Cosmos DB SDKsAzure Cosmos DB overviewAzure Cosmos DB pricingAzure Cosmos DB docsCreate a free account (Azure)

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)