In this episode Chris Risner and Haishi Bai are joined by Ryan CrawCour, Sr Program Manager working on Azure DocumentDB. Ryan joins us to give us an update on what DocumentDB's been doing since he was last on Cloud Cover. Ryan begins by giving a brief overview of what DocumentDB is and why it's important. Next he launches into the new features DocumentDB has released since it went GA in April. Some of those new features include: ID based routing, range operations for strings, Order By for queries, index transforms, query enhancements (In, Between, etc), portal updates, a new data migration tool, logical charging, and geospatial support. Links from the show: [02:00] - Ryan's presentation[07:15] - Talking about the differences between NoSQL and SQL[15:50] - New features of DocumentDB[24:15] - Demos[47:40] - Further resources and feedbackDocumentDB on Cloud Cover last timeDocumentDB UserVoiceDocumentDB SDKsDocumentDB StudioDocumentDB PlaygroundDocumentDB StarterDocumentDB Import toolDocumentDB Query Cheat SheetIn the news: Boot Diagnostics for Azure VMsIn the news: Azure Resource Manager SDKs PreviewIn the news; Mandatory updates for Azure Backup AgentIn the news: Great new SQL database Capabilities in AzureLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @ryancrawcourFollow @DocumentDB

In this episode Chris Risner and Haishi Bai are joined by Chris Knowlton, Streaming Industry Evangelist at Wowza Media Systems. The company's core product, Wowza Streaming Engine, is a media streaming software that works great with Azure. Chris walks through how you can start by deploying Wowza in Azure using templates in the Azure Marketplace. He then walks through the steps to connect to the Wowza VM, configure it, and start streaming media to it. He then shows how you can take stream and transcode it into different formats and bitrates and then consume from any client, anywhere, you want. Links from the show: [03:00] - Starting Chris' presentation[04:40] - Deploying Wowza in Azure[08:10] - Connecting to a Wowza VM[09:37] - Walking through the demo flow and how Wowza works[14:25] - Logging into the Wowza Portal[19:25] - Obtaining a license key[25:32] - Streaming from the phone[29:23] - Enabling TranscodersFrom the news: Azure Premium Storage expands into more regionsFrom the news: Azure Media Services Java SDK updateFrom the news: Cloud Foundry on Azure Preview 2 availableFrom the news: Row-Level Security on Azure SQL Database now GAFrom the news: Updates to Azure Mobile AppsWowza Azure landing pageWowza Streaming EngineWowza for Azure quick-start guidesStreaming Engine 4.2 overviewWowza on Azure datasheetWowza Azure discount promotion code and details: WWWAzureWant to learn more and join us for a live Q & A? Register for the Azure / Wowza webinar on November 10th: http://info.wowza.com/wowza-and-azureLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @chris_knowlton

In this episode Chris Risner and Haishi Bai are joined by Pranav Rastogi, Program Manager on the Azure team. Pranav joins us to go over some newer features of WebJobs. WebJobs allow you to run background jobs as part of an Azure Web App or Azure Web Site. Since the last time we spoke about WebJobs, the SDK has been open sourced including an extensibility model that allows anyone to build out new triggers and binders for launching a job. Two of the new triggers they have also released include timer based triggers and file based triggers. Additionally, Pranav shows a trigger based off a Redis cache created by the community. Links from the show: [00:40] - Starting Pranav's presentation[03:40] - Open sourcing the SDK and extensibility model[06:00] - Diving into a project and triggers[08:00] - Queue and Timer triggers[13:28] - Using CRON style time triggers[16:00] - Using File triggers[20:06] - The Redis Extension[23:52] - Using Singleton's to respect Regions and Zones[28:54] - Scheduling jobs without the WebJobs SDKOur previous show with an introduction to WebJobsExtensible Triggers and Binders for WebJobs announcementScheduling Azure WebJobs with cron expressionsThe Redis WebJob extensionAzure WebJobs SDK on GitHubAzure WebJobs Samples on GitHubAzure WebJobs Extensions on GitHubRelease notes for the WebJobs SDKLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @rustd

In this episode Chris Risner and Mustafa Kasap are joined by Moinak Bandyopadhyay, Program Manager on the Azure Commerce Team. Moinak joins us to talk about two new APIs released by the Commerce team: Usage and Rate Card. These two APIs allows you to programmatically get details on the Azure consumption for a subscription as well as retrieve information about the billing rates associated with that subscription. Throughout the show, Moinak demonstrates what the format of calls against the APIs look like, two solutions that vendors have built on top of the APIs, and several different code samples for connecting to the APIs. Links from the show: [00:38] - This week's news[03:40] - Explaining the importance and purpose of the APIs[07:35] - Sample API request formats[17:17] - Cloudyn's implementation of the APIs[22:12] - CloudCruiser's implementation of the APIs[28:55] - Using the PowerShell cmdletsAPI Usage Examples on GitHubOverview of the Usage and RateCard APIIT Financial Management scenario for Billing APIsScott Guthrie's blog post announcing the Billing APIsMore details on the Cloudyn solution using the Billing APIsMore details on the Cloud Cruiser solution using the Billing APIsUsage REST API ReferenceRateCard REST API ReferenceAzure Offer IDs for the RateCard APINuGet package for Usage APIsAnnouncement and Documentation on Resource TaggingAzure Billing on User VoiceNews: Retirement of Azure SQL Database Web and Business EditionsNews: Updates to the Mobile Apps SDK News: Expanding Linux and OSS Support for AzureChannel 9 Mobile AppsLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @mustafakasapFollow @moinak11 Instructions on using the APIs from Powershell and the Command Line Interface Powershell Commandlet get-UsageAggregates Switch-AzureMode -Name AzureResourceManager Add-AzureAccount Select-AzureSubscription -SubscriptionId 'YOUR-AZURE-SUB-ID' $aggregate= get-UsageAggregates -ReportedStartTime "6/1/2015" -ReportedEn

In this special episode Lara Rubbelke is joined by Shweta Gupta, a Technical Evangelist at Microsoft. Shweta joins the show to talk about her experience helping a healthcare customer solve a big legacy data problem with Azure Data Factory. In this scenario, they wanted to use Streaming Analytics but needed to figure out how to get legacy data into the system. Links from the show: [00:39] - Introductions[01:37] - What is Big Legacy Data?[05:44] - Parsing vs Transforming data[10:10] - Why Azure Data Factory?[11:10] - DemosSolving the Big Legacy Data problem with Azure Data FactoryTransformation of XML to JSON on GitHubCustom Data Activities with ADFLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @sqlgalFollow @shwetastweets

In this episode Chris Risner is joined by Ben Hindman, one of the founders and Chief Architect at Mesosphere. Mesosphere is based off of the open source Apache Mesos project and makes it easier to run many distributed systems on the same cluster of nodes at the same time. Ben starts by explaining what Mesos and Mesosphere are and then jumps into the Mesosphere dashboard. The dashboard allows us to see how many nodes are running in our cluster and what applications they're running. Ben then goes in and runs through installing a sample web app into his cluster. This includes Oinker which is the actual web app in addition to Spark which does analytics. Links from the show: [00:39] - What is Mesos and Mesosphere?[03:37] - Start of Ben's demo[06:22] - Deploying a sample web app[09:20] - Installing Spark[13:00] - Seeing installed application's in the dashboardOur previous show on DockerGetting started with Mesosphere on AzureEmail mesos at [email protected] Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @Mesosphere

In this episode Chris Risner and Haishi Bai are joined by Mat Velloso, a Senior Technical Evangelist in DX. Mat joins us to talk about the Oxford APIs, machine learning, How-Old.net, and Twins or Not. Mat starts by talking about How-Old.net inspired him to quickly build Twins or Not while on the //Build tour. Mat then talks about how the capabilities used by these sites are available as part of the Oxford APIs and shows a demo of using one of the capabilities to organize photos. Mat then goes a little deeper and talks about building models using Azure Machine Learning and finding existing experiments using the Machine Learning gallery. He goes over two different examples: Recommendations and Mail Organization. Links from the show: [00:33] - Azure News - Billing APIs and Portal Improvements[03:22] - Start of Mat's presentation[05:49] - Mat looks at Learning APIs including Oxford[06:33] - The Photo Organizer app[12:03] - The Machine Learning gallery and Recommendations[21:15] - The Mail Organizer[25:23] - Azure Machine Learning Cheat Sheet[27:03] - Project Oxford Documentation[32:10] - Twins or NotLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @MatVelloso

In this episode Chris Risner is joined by fellow Technical Evangelist, Panos Kefalidis. Panos joins us to talk about Azure App Service API Apps. First we quickly review what Azure App Service is and how it combines different complimentary pieces into a single uniform platform. Then we talk about API Apps and how they provide extended metadata for APIs (written in any language) to enable more easy consumption and distribution. One of the very powerful features of API Apps is it's Swagger metadata generation for creating client SDKs to talk to your APIs. Panos wraps up the show by creating a Logic App that consumes the API App he earlier created and deployed into Azure. Links from the show: Previous show on Logic Apps[01:36] - Agenda[01:51] - What is App Service?[05:12] - Differences between API Apps and API Management[08:36] - Platform benefits[10:15] - Developing API Apps[12:54] - More on Swagger[16:46] - Logic Apps and pre-built API Connectors[18:13] - Demos[33:45] - Creating an API App client SDK with Visual StudioAzure App Service documentationAPI Apps User VoiceLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @pkefal

In this episode Chris Risner is joined by Vlad Vinogradsky, Principal Program Manager on the Azure API Management Team. Vlad joins us to talk about some of the latest features in the Azure API Management service. Azure API Management allows you to administer your APIs programmatically and publish back-end services as well managed, well controlled APIs. Today, Vlad introduces the new features in the Premium offering of Azure Management API, including an ability to deploy proxies in multiple regions, support for VPNs, and integration with Azure Active Directory. Also featured is the new Policy Expressions capability, which allows you to dynamically configure management policies for your APIs. This allows you to centralize your policies rather than spreading them across several backends. You can also augment these policies with snippets of C#, putting even more power into your hands. Links from the show: API Management Intro Cloud Cover EpisodeAPI Management Feature Cloud Cover EpisodeAPI Management Policy Expressions DocumentationApiphany Demo APIHttpbin.orgJson Web TokensDark Sky Forecast APISwagger API SamplesPolicy Snippet SamplesLike Cloud Cover on Facebook!

In this episode Chris Risner and Haishi Bai are joined by Stephen Siciliano, Program Manager on Azure App Service. Stephen joins us to demonstrate Logic Apps. Logic Apps are a part of the new Azure App Service which provides a common platform for building different types of applications. Using Logic Apps, Stephen shows us how you can connect different APIs and API Apps together in logical flows. In the first example, Stephane creates a recurring job which polls Twitter for tweets mentioning LogicApps and then takes that output and creates a file in DropBox. After creating the Logic App, Stephen shows off the JSON that is created as he uses the designer to set things up. To finish things up, Stephen demonstrates how you can kick off a Logic App which can then perform whatever logic you want, in this case sending a text message using the Twilio connector. Links from the show: Azure App ServiceAzure Logic AppsT-Rex Metadata LibraryLike Cloud Cover on Facebook! Follow @CloudCoverShowFollow @chrisrisnerFollow @haishibai2010Follow @iscsus