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Julie Kohler joins Scott Hanselman to discuss how to use the traffic APIs in Azure Maps. You will learn about how to surface the best in class traffic data coming from our partnership with TomTom using a set of simple REST APIs. Get up to date information on traffic flow as well as incidents.For more information:Azure Maps (layers sample)Azure Maps product pageAzure Maps pricing pageAzure Maps documentationCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday
Julie Kohler joins Scott Hanselman to discuss the newest search APIs that have been added to Azure Maps. In this episode, you'll learn about doing a nearby search, searching within a given geometry and how to search along a route providing a maximum detour time.For more information:Azure Maps product pageAzure Maps pricing pageAzure Maps documentationCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday
Julie Kohler joins Scott Hanselman to discuss the core set of search APIs available in Azure Maps. In this episode, you'll learn how to do geocoding, reverse geocoding, search for Points of Interest and see an example using the JavaScript map control.For more information:Azure Maps product pageAzure Maps pricing pageAzure Maps documentationCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday
Ziv Rafalovich joins Scott Hanselman to show how to use low-priority VM scale set for a significant cost saving with Azure. Low-priority VM scale set allows you to take advantage of unutilized capacity without any availability guarantees. By combining low-priority scale sets with autoscaling and mixing two scale sets behind a single SLB, Ziv shows how to get the most out of this new offer currently in preview.For more information, see:Low-priority VMs on scale sets (docs)Autoscale demo app on Ubuntu 16.04 with low priority VMSSPricing Virtual Machine Scale Sets PricingLow-priority VMs on scale set (public doc)Hybrid Scale Set demo app on Ubuntu 16.04 (combining on-demand with low-priority)Announcing low-priority VMs on scale sets now in public previewCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @zivraf
Rome Li joins Donovan Brown to discuss how to run your Java microservices in Kubernetes with the help of Visual Studio Code. Java Extension Pack lets you work with Java code and projects. Spring Boot Extension Pack makes it very efficient to work with Spring Boot applications. And Kubernetes Extension visualizes Kubernetes resources and makes it easier to work with kubectl and manifest files.For more information:VS Code for Java TutorialJava Extension Pack for VS CodeSpring Boot Extension Pack for VS CodeKubernetes Extension for VS CodeDocker Extension for VS CodeService Catalog InstallationOpen Service Broker for Azure Quick StartCreate a free account (Azure)Follow @donovanbrown Follow @AzureFriday Follow @akalirong
Today's business managers depend heavily on reliable data integration systems that run complex ETL/ELT workflows (extract, transform/load and load/transform data). Gaurav Malhotra joins Scott Hanselman to discuss how you can iteratively build, debug, deploy, and monitor your data integration workflows (including analytics workloads in Azure Databricks) using Azure Data Factory pipelines. For more information:Ingest, prepare, and transform using Azure Databricks and Data Factory (blog)Run a Databricks notebook with the Databricks Notebook Activity in Azure Data Factory (docs)Create a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @gauravmalhot12
Ria Bhatia joins Scott Hanselman to discuss Virtual Kubelet and Azure's provider, the ACI Connector. The ACI Connector paired with Kubernetes enables you to quickly spin out container instances from an AKS cluster. This is the fastest way to scale a Kubernetes cluster in the cloud.For more information:Kubernetes Virtual Kubelet with ACI (GitHub + docs)Container Instances pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureFriday Follow @rbitia
Justin Luk joins Scott Hanselman to discuss how Azure Container Instances provide a new compute primitive in the form of on-demand containers. ACI provides efficient, granular compute that starts in seconds with simple packaging and no VM management. Use ACI in new and existing infrastructure, including Kubernetes.For more information, see:Azure Container Instances DocumentationQuickstart: Create your first container in Azure Container InstancesContainer Instances (overview)Container Instances pricingAzure Roadmap: Azure Container Instances Azure Container Instances now generally available (blog)Learn about KubernetesAzure Kubernetes Service (AKS) serviceCreate a free account (Azure)
Azure MVP Barry Luijbregts stops by to chat with Scott Hanselman about how .NET developers can easily get started with Azure. They talk about the free e-book: Getting started with Azure for .NET developers and they discuss and show some of the awesome tools that can help you get started with Azure today.For more information:Get the free e-book: Getting started with Azure for .NET developersSelecting Workloads in Visual Studio 2017Azure SDKs download pageAzure Friday about Snapshot Debugger with Application InsightsCreate a Free Account (Azure)Follow @SHanselman Follow @AzureFriday Follow @AzureBarry
Rick Spencer joins Donovan to chat about deploying Bitnami Node.js High Availability with Azure Cosmos DB, a free listing in Azure Marketplace that uses ARM to automatically spin up a three-node Node.js cluster behind a load balancer with a shared file system and Azure Cosmos DB integration. See how you can quickly get a sample MEAN app from GitHub to a highly available production environment in the Azure cloud, with very little configuration or sysadmin knowledge required.For more information, see:Bitnami Node.js For Microsoft Azure Multi-Tier Solutions (docs)Bitnami Node.js High-Availability Cluster (Azure Marketplace)Bitnami sample MEAN application (GitHub)Create a Free Account (Azure)Follow @donovanbrown Follow @AzureFriday Follow @rickspencer_3
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