Scott Hanselman

Publishing ASP.NET Core 1.1 applications to Azure using git deploy

November 23, '16 Comments [13] Posted in ASP.NET | Azure
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I took an ASP.NET Core 1.0 application and updated its package references to ASP.NET 1.1 today. I also updated to my SDK to the Current (not the LTS - Long Term Support version). Everything worked great building and running locally, but then I made a new Web App in Azure and did a quick git deploy.

Deploying ASP.NET Core 1.1 to Azure


c:\aspnetcore11app> azure site create "aspnetcore11test" --location "West US" --git
c:\aspnetcore11app> git add .
c:\aspnetcore11app> git commit -m "initial"
c:\aspnetcore11app> git push azure master

Then I watched the logs go by. You can watch them at the command line or from within the Azure Portal under "Log Stream."

The deployment failed when Azure was building the app and got this error:

Build started 11/25/2016 6:51:54 AM.
2016-11-25T06:51:55         1>Project "D:\home\site\repository\aspnet1.1.xproj" on node 1 (Publish target(s)).
2016-11-25T06:51:55         1>D:\home\site\repository\aspnet1.1.xproj(7,3): error MSB4019: The imported project "D:\Program Files (x86)\dotnet\sdk\1.0.0-preview3-004056\Extensions\Microsoft\VisualStudio\v14.0\DotNet\Microsoft.DotNet.Props" was not found. Confirm that the path in the <Import> declaration is correct, and that the file exists on disk.
2016-11-25T06:51:55         1>Done Building Project "D:\home\site\repository\aspnet1.1.xproj" (Publish target(s)) -- FAILED.

See where it says "1.0.0-preview3-004056" in there? Looks like Azure Web Apps has some build that isn't the one that I have. Theirs has the new csproj/msbuild stuff and I'm staying a few steps back waiting for things to bake.

Remember that unless you specify the SDK version, .NET Core will use whatever is the latest one on the box.

Well, what do I have locally?

C:\aspnetcore11app>dotnet --version

OK, then that's what I need to use so I'll make a global.json at the root of my project, then move my code into a folder under "src" for example.

"projects": [ "src", "test" ],
"sdk": {
"version": "1.0.0-preview2-1-003177"

Here I'm "pinning" the same SDK version. This will tell Azure (or you, if I gave you the code) to use this SDK version when building.

Now I'll redeploy with a git add, commit, and push. It works.

I think this should be easier, but I'm not sure how it should be easier. Does this mean that everyone should have a global.json with a preferred version? If you have no preferred version should Azure give a smarter error if it has an incompatible newer one?

The learning here for me is that not having a global.json basically says "*.*" to any cloud build servers and you'll get whatever latest SDK they have. It could stop working any day.

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About Scott

Scott Hanselman is a former professor, former Chief Architect in finance, now speaker, consultant, father, diabetic, and Microsoft employee. He is a failed stand-up comic, a cornrower, and a book author.

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Exploring Application Insights for disconnected or connected deep telemetry in ASP.NET Apps

October 19, '16 Comments [27] Posted in Azure
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Today on the ASP.NET Community Standup we learned about how you can use Application Insights in a disconnected scenario to get some cool - ahem - insights into your application.

Typically when someone sees Application Insights in the File | New Project dialog they assume it's a feature that only works in Azure, that will create some account for you and send your data to the cloud. While App Insights totally does do a lot of cool stuff when you have a cloud-hosted app and it does add a lot of value, it also supports a very useful "SDK only" mode that's totally offline.

Click "Add Application Insights to project" and then under "Send telemetry to" you click "Install SDK only" and no data gets sent to the cloud.

Application Insights dropdown - Install SDK only

Once you make your new project, can you learn more about AppInsights here.

For ASP.NET Core apps, Application Insights will include this package in your project.json - "Microsoft.ApplicationInsights.AspNetCore": "1.0.0" and it'll add itself into your middleware pipeline and register services in your Startup.cs. Remember, nothing is hidden in ASP.NET Core, so you can modify all this to your heart's content.

if (env.IsDevelopment())
// This will push telemetry data through Application Insights pipeline faster, allowing you to view results immediately.
builder.AddApplicationInsightsSettings(developerMode: true);

Request telemetry and Exception telemetry are added separately, as you like.

Make sure you show the Application Insights Toolbar by right-clicking your toolbars and ensuring it's checked.

Application Insights Dropdown Menu

The button it adds is actually pretty useful.

Application Insights Dropdown Menu

Run your app and click the Application Insights button.

NOTE: I'm using Visual Studio Community. That's the free version of VS you can get at I use it exclusively and I think it's pretty cool that this feature works just great on VS Community.

You'll see the Search window open up in VS. You can keep it running while you debug and it'll fill with Requests, Traces, Exceptions, etc.


I added a Exceptional case to /about, and here's what I see:

Searching for the last hours traces

I can dig into each issue, filter, search, and explore deeper:

Unhandled Exception

And once I've found something interesting, I can explore around it with the full details of the HTTP Request. I find the "telemetry 5 minutes before and after" query to be very powerful.

Track Operations

Notice where it says "dependencies for this operation?" That's not dependencies like "Dependency Injection" - that's larger system-wide dependencies like "my app depends on this web service."

You can custom instrument your application with the TrackDependancy API if you like, and that will cause your system's dependency to  light up in AppInsights charts and reports. Here's a dumb example as I pretend that putting data in ViewData is a dependency. It should be calling a WebAPI or a Database or something.

var telemetry = new TelemetryClient();

var success = false;
var startTime = DateTime.UtcNow;
var timer = System.Diagnostics.Stopwatch.StartNew();
ViewData["Message"] = "Your application description page.";
telemetry.TrackDependency("ViewDataAsDependancy", "CallSomeStuff", startTime, timer.Elapsed, success);

Once I'm Tracking external Dependencies I can search for outliers, long durations, categorize them, and they'll affect the generated charts and graphs if/when you do connect your App Insights to the cloud. Here's what I see, after making this one code change. I could build this kind of stuff into all my external calls AND instrument the JavaScript as well. (note Client and Server in this chart.)

Application Insight Maps

And once it's all there, I can query all the insights like this:

Querying Data Live

To be clear, though, you don't have to host your app in the cloud. You can just send the telemetry to the cloud for analysis. Your existing on-premises IIS servers can run a "Status Monitor" app for instrumentation.

Application Insights Charts

There's a TON of good data here and it's REALLY easy to get started either:

  • Totally offline (no cloud) and just query within Visual Studio
  • Somewhat online - Host your app locally and send telemetry to the cloud
  • Totally online - Host your app and telemetry in the cloud

All in all, I am pretty impressed. There's SDKs for Java, Node, Docker, and ASP.NET - There's a LOT here. I'm going to dig deeper.

Sponsor: Big thanks to Telerik! 60+ ASP.NET Core controls for every need. The most complete UI toolset for x-platform responsive web and cloud development. Try now 30 days for free!

About Scott

Scott Hanselman is a former professor, former Chief Architect in finance, now speaker, consultant, father, diabetic, and Microsoft employee. He is a failed stand-up comic, a cornrower, and a book author.

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What is Serverless Computing? Exploring Azure Functions

August 27, '16 Comments [46] Posted in Azure | nodejs
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There's a lot of confusing terms in the Cloud space. And that's not counting the term "Cloud." ;)

  • IaaS (Infrastructure as a Services) - Virtual Machines and stuff on demand.
  • PaaS (Platform as a Service) - You deploy your apps but try not to think about the Virtual Machines underneath. They exist, but we pretend they don't until forced.
  • SaaS (Software as a Service) - Stuff like Office 365 and Gmail. You pay a subscription and you get email/whatever as a service. It Just Works.

"Serverless Computing" doesn't really mean there's no server. Serverless means there's no server you need to worry about. That might sound like PaaS, but it's higher level that than.

Serverless Computing is like this - Your code, a slider bar, and your credit card. You just have your function out there and it will scale as long as you can pay for it. It's as close to "cloudy" as The Cloud can get.

Serverless Computing is like this. Your code, a slider bar, and your credit card.

With Platform as a Service, you might make a Node or C# app, check it into Git, deploy it to a Web Site/Application, and then you've got an endpoint. You might scale it up (get more CPU/Memory/Disk) or out (have 1, 2, n instances of the Web App) but it's not seamless. It's totally cool, to be clear, but you're always aware of the servers.

New cloud systems like Amazon Lambda and Azure Functions have you upload some code and it's running seconds later. You can have continuous jobs, functions that run on a triggered event, or make Web APIs or Webhooks that are just a function with a URL.

I'm going to see how quickly I can make a Web API with Serverless Computing.

I'll go to and make a new function. If you don't have an account you can sign up free.

Getting started with Azure Functions

You can make a function in JavaScript or C#.

Getting started with Azure Functions - Create This Function

Once you're into the Azure Function Editor, click "New Function" and you've got dozens of templates and code examples for things like:

  • Find a face in an image and store the rectangle of where the face is.
  • Run a function and comment on a GitHub issue when a GitHub webhook is triggered
  • Update a storage blob when an HTTP Request comes in
  • Load entities from a database or storage table

I figured I'd change the first example. It is a trigger that sees an image in storage, calls a cognitive services API to get the location of the face, then stores the data. I wanted to change it to:

  • Take an image as input from an HTTP Post
  • Draw a rectangle around the face
  • Return the new image

You can do this work from Git/GitHub but for easy stuff I'm literally doing it all in the browser. Here's what it looks like.

Azure Functions can be done in the browser

I code and iterate and save and fail fast, fail often. Here's the starter code I based it on. Remember, that this is a starter function that runs on a triggered event, so note its Run()...I'm going to change this.

#r "Microsoft.WindowsAzure.Storage"
#r "Newtonsoft.Json"

using System.Net;
using System.Net.Http;
using System.Net.Http.Headers;
using Newtonsoft.Json;
using Microsoft.WindowsAzure.Storage.Table;
using System.IO; 

public static async Task Run(Stream image, string name, IAsyncCollector<FaceRectangle> outTable, TraceWriter log)
    var image = await req.Content.ReadAsStreamAsync();
    string result = await CallVisionAPI(image); //STREAM

    if (String.IsNullOrEmpty(result))
        return req.CreateResponse(HttpStatusCode.BadRequest);

    ImageData imageData = JsonConvert.DeserializeObject<ImageData>(result);
    foreach (Face face in imageData.Faces)
        var faceRectangle = face.FaceRectangle;
        faceRectangle.RowKey = Guid.NewGuid().ToString();
        faceRectangle.PartitionKey = "Functions";
        faceRectangle.ImageFile = name + ".jpg";
        await outTable.AddAsync(faceRectangle); 
    return req.CreateResponse(HttpStatusCode.OK, "Nice Job");  

static async Task<string> CallVisionAPI(Stream image)
    using (var client = new HttpClient())
        var content = new StreamContent(image);
        var url = "";
        client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", Environment.GetEnvironmentVariable("Vision_API_Subscription_Key"));
        content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
        var httpResponse = await client.PostAsync(url, content);

        if (httpResponse.StatusCode == HttpStatusCode.OK){
            return await httpResponse.Content.ReadAsStringAsync();
    return null;

public class ImageData {
    public List<Face> Faces { get; set; }

public class Face {
    public int Age { get; set; }
    public string Gender { get; set; }
    public FaceRectangle FaceRectangle { get; set; }

public class FaceRectangle : TableEntity {
    public string ImageFile { get; set; }
    public int Left { get; set; }
    public int Top { get; set; }
    public int Width { get; set; }
    public int Height { get; set; }

GOAL: I'll change this Run() and make this listen for an HTTP request that contains an image, read the image that's POSTed in (ya, I know, no validation), draw rectangle around detected faces, then return a new image.

public static async Task<HttpResponseMessage> Run(HttpRequestMessage req, TraceWriter log) {
var image = await req.Content.ReadAsStreamAsync();

As for the body of this function, I'm 20% sure I'm using too many MemoryStreams but they are getting disposed so take this code as a initial proof of concept. However, I DO need at least the two I have. Regardless, happy to chat with those who know more, but it's more subtle than even I thought. That said, basically call out to the API, get back some face data that looks like this:

2016-08-26T23:59:26.741 {"requestId":"8be222ff-98cc-4019-8038-c22eeffa63ed","metadata":{"width":2808,"height":1872,"format":"Jpeg"},"faces":[{"age":41,"gender":"Male","faceRectangle":{"left":1059,"top":671,"width":466,"height":466}},{"age":41,"gender":"Male","faceRectangle":{"left":1916,"top":702,"width":448,"height":448}}]}

Then take that data and DRAW a Rectangle over the faces detected.

public static async Task<HttpResponseMessage> Run(HttpRequestMessage req, TraceWriter log)
    var image = await req.Content.ReadAsStreamAsync();

    MemoryStream mem = new MemoryStream();
    image.CopyTo(mem); //make a copy since one gets destroy in the other API. Lame, I know.
    image.Position = 0;
    mem.Position = 0;
    string result = await CallVisionAPI(image); 

    if (String.IsNullOrEmpty(result)) {
        return req.CreateResponse(HttpStatusCode.BadRequest);
    ImageData imageData = JsonConvert.DeserializeObject<ImageData>(result);

    MemoryStream outputStream = new MemoryStream();
    using(Image maybeFace = Image.FromStream(mem, true))
        using (Graphics g = Graphics.FromImage(maybeFace))
            Pen yellowPen = new Pen(Color.Yellow, 4);
            foreach (Face face in imageData.Faces)
                var faceRectangle = face.FaceRectangle;
                    faceRectangle.Left, faceRectangle.Top, 
                    faceRectangle.Width, faceRectangle.Height);
        maybeFace.Save(outputStream, ImageFormat.Jpeg);
    var response = new HttpResponseMessage()
        Content = new ByteArrayContent(outputStream.ToArray()),
        StatusCode = HttpStatusCode.OK,
    response.Content.Headers.ContentType = new MediaTypeHeaderValue("image/jpeg");
    return response;

I also added a reference to System. Drawing using this syntax at the top of the file and added a few namespaces with usings like System.Drawing and System.Drawing.Imaging. I also changed the input in the Integrate tab to "HTTP" as my input.

#r "System.Drawing

Now I go into Postman and POST an image to my new Azure Function endpoint. Here I uploaded a flattering picture of me and unflattering picture of The Oatmeal. He's pretty in real life just NOT HERE. ;)

Image Recognition with Azure Functions

So in just about 15 min with no idea and armed with just my browser, Postman (also my browser), Google/StackOverflow, and Azure Functions I've got a backend proof of concept.

Azure Functions supports Node.js, C#, F#, Python, PHP *and* Batch, Bash, and PowerShell, which really opens it up to basically anyone. You can use them for anything when you just want a function (or more) out there on the web. Send stuff to Slack, automate your house, update GitHub issues, act as a Webhook, etc. There's some great 3d party Azure Functions sample code in this GitHub repo as well. Inputs can be from basically anywhere and outputs can be basically anywhere. If those anywheres are also cloud services like Tables or Storage, you've got a "serverless backed" that is easy to scale.

I'm still learning, but I can see when I'd want a VM (total control) vs a Web App (near total control) vs a "Serverless" Azure Function (less control but I didn't need it anyway, just wanted a function in the cloud.)

Sponsor: Aspose makes programming APIs for working with files, like: DOC, XLS, PPT, PDF and countless more.  Developers can use their products to create, convert, modify, or manage files in almost any way.  Aspose is a good company and they offer solid products.  Check them out, and download a free evaluation.

About Scott

Scott Hanselman is a former professor, former Chief Architect in finance, now speaker, consultant, father, diabetic, and Microsoft employee. He is a failed stand-up comic, a cornrower, and a book author.

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Announcing PowerApps with Azure App Service

November 30, '15 Comments [8] Posted in Azure
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Introducing PowerAppsMicrosoft announced Azure App Service in March of this year on ScottGu's blog. Azure App Service includes all this stuff for one price. In fact, if you are already using Web Apps/Sites, have many of these features but may not know it:

  • Web Apps - This is the Azure Web Sites that you use today. .NET, node.js, Python, Java, PHP, and more.
  • Mobile Apps - libraries and runtimes for iOS/Windows/Android/Mac, plus offline sync support, notifications, and more
  • Logic Apps - Workflow in the cloud (like IIFTTT but hosted and controlled by you) that can orchestrate business processes within your App Service
  • API Apps - RESTful web services, connections to lots of SaaS systems like Dropbox, Office365, etc, plus security and automatic versioning.

In April the Azure team added isolated App Service Environments. An App Service Environment provides a isolated and fully dedicated environment for securely running all of your apps including Web Apps, Mobile Apps, API Apps and Logic Apps. Your apps run on virtual machines that only run your apps. You aren't on a pool of shared machines like much of the cloud. These dedicated App Service Environments can also scale much larger than the standard App Service. App Service Environments always run in their own private virtual network that you control.

Today at the Convergence Conference in Spain, Bill Staples announced PowerApps. The team I work on doesn't just make ASP.NET, we also make tools and services for Azure App Service and for the last year the team has been building PowerApps. PowerApps makes it easy to quickly create new business apps, connect systems and then share those apps with anyone on your team.

You should go check out to learn about the creation process for business users (like, folks who use Office but don't program), but I decided to focus more on how a professional developer would use Azure App Service and PowerApps, so I made a video to demonstrate a real example.

PowerApps for developers

bricksA Real Scenario

I wrote an app something like 13 years ago for Pioneer Courthouse Square here in Portland. The square is the Center of the City and it's covered with bricks that have the name of the people who donated to have the square built. There's tens of thousands of bricks and they are hard to find. There was an Access Database and a paper map but that was lame, so I put together an ASP app and a SQL database to generate a printable map that gets visitors within ten or so feet of their brick.

This is a real legacy app that has been running - happily and unchanged - for over a decade. We don't like to admit apps like this exist but the world is full of them. This apps was created before the iPhone, before ubiquitous connectivity, before web services, and before federated security. I thought it would be cool to make this legacy data available as a JSON-based web service, secure it's admin access with Azure Active Directory, build a CRUD mobile admin app with PowerApps for iOS, Android, and Windows, and then, just for fun, also create a native Android app with Xamarin 4 and the Azure Mobile Apps libraries so that volunteers can manage requests for photographs of bricks.

What does this all mean? What's changed?

PowerApps is the business application creation side. Think of it as a new member of the Office Family. It's not a Visual Studio thing. Apps made with PowerApps are sharable with in your organization as easy as sharing documents and they run on Windows, Android, and iOS. A business user could build a new workflow app and share it with everyone. They can auth that new app against APIs like Office 365, Microsoft Dynamics, Salesforce, Dropbox, Twitter, Google Drive, and OneDrive. For example, my example app takes photos of the bricks and puts the result in Azure Storage, but I could just as easily drop them in Google Drive or OneDrive.

However, for Visual Studio developers, or any developer, you still use the language of your choice (C#, F#, node.js, PHP, etc) and write Web APIs and Apps and host them in Azure App Service as you always have. But, if you want, those APIs can live in a new gallery that is specific to your organization so that anyone in your org (developer or business user alike) can use in their applications. My legacy BrickFinder is now an authenticated API living in an Azure App Service Environment. The API is being used by a website, an Android app written with Xamarin, and also an application created with PowerApps, running everywhere.

One other interesting point to note is that PowerApps pricing isn't consumption based, it's user-based pricing. Pay by the head, rather than prices fluctuating by consumption. For companies with public facing apps like my startup, I like pricing that changes with the popularity and usage of my app. For enterprise and large companies, simple pricing that's per-user makes more sense and is easier to budget for.

Check out the launch videos. PowerApps is in private preview now (go sign up at if you like), but you'll be hearing more about it in the months to come. 

Sponsor: Big thanks to Infragistics for sponsoring the feed this week. Responsive web design on any browser, any platform and any device with Infragistics jQuery/HTML5 Controls.  Get super-charged performance with the world’s fastest HTML5 Grid - Download for free now!

About Scott

Scott Hanselman is a former professor, former Chief Architect in finance, now speaker, consultant, father, diabetic, and Microsoft employee. He is a failed stand-up comic, a cornrower, and a book author.

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Using Redis as a Service in Azure to speed up ASP.NET applications

November 6, '15 Comments [18] Posted in ASP.NET MVC | Azure
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Microsoft Azure has a Redis Cache as a Service. There's two tiers. Basic is a single cache node, and Standard is as a complete replicated Cache (two nodes, with automatic failover). Microsoft manages automatic replication between the two nodes, and offers a high-availability SLA. The Premium tier can use up to a half-terabyte of RAM and tens of thousands of client connections and be clustered and scaled out to even bigger units. Sure, I could manage your own Redis in my own VM if I wanted to, but this is SAAS (Software as a Service) that I don't have to think about - I just use it and the rest is handled.

I blogged about Redis on Azure last year but wanted to try it in a new scenario now, using it as a cache for ASP.NET web apps. There's also an interesting open source Redis Desktop Manager I wanted to try out. Another great GUI for Redis is Redsmin.

For small apps and sites I can make a Basic Redis Cache and get 250 megs. I made a Redis instance in Azure. It takes a minute or two to create. It's SSL by default. I can talk to it programmatically with something like StackExchange.Redis or ServiceStack.Redis or any of a LOT of other great client libraries.

However, there's now great support for caching and Redis in ASP.NET. There's a library called Microsoft.Web.RedisSessionStateProvider that I can get from NuGet:

Install-Package Microsoft.Web.RedisSessionStateProvider 

It uses the StackExchange library under the covers, but it enables ASP.NET to use the Session object and store the results in Redis, rather than in memory on the web server. Add this to your web.config:

<sessionState mode="Custom" customProvider="FooFoo">
<add name="MySessionStateStore"
port="1234" />

Here's a string from ASP.NET Session stored in Redis as viewed in the Redis Desktop Manager. It's nice to use the provider as you don't need to change ANY code.

ASP.NET Session stored in a Redis Cache

You can turn off SSL and connect to Azure Redis Cache over the open internet but you really should use SSL. There's instructions for using Redis Desktop Manager with SSL and Azure Redis. Note the part where you need a .pem file which is the Azure Redis Cache SSL public key. You can get that SSL key here as of this writing.

Not only can you use Redis for Session State, but you can also use it for a lightning fast Output Cache. That means caching full HTTP responses. Setting it up in ASP.NET 4.x is very similar to the Session State Provider:

Install-Package Microsoft.Web.RedisOutputCacheProvider 

Now when you use [OutputCache] attributes in MVC Controllers or OutputCache directives in Web Forms like <%@ OutputCache Duration="60" VaryByParam="*" %> the responses will be handled by Redis. With a little thought about how your query strings and URLs work, you can quickly take an app like a Product Catalog, for example, and make it 4x or 10x faster with caching. It's LOW effort and HIGH upside. I am consistently surprised even in 2015 how often I see folks going to the database on EVERY HTTP request when the app's data freshness needs just doesn't require the perf hit.

You can work with Redis directly in code, of course. There's docs for .NET, Node.js, Java and Python on Azure. It's a pretty amazing project and having it be fully managed as a service is nice. From the Azure Redis site:

Perhaps you're interested in Redis but you don't want to run it on Azure, or perhaps even on Linux. You can run Redis via MSOpenTech's Redis on Windows fork. You can install it from NuGet, Chocolatey or download it directly from the project github repository. If you do get Redis for Windows (super easy with Chocolatey), you can use the redis-cli.exe at the command line to talk to the Azure Redis Cache as well (of course!).

It's easy to run a local Redis server with redis-server.exe, test it out in development, then change your app's Redis connection string when you deploy to Azure. Check it out. Within 30 min you may be able to configure your app to use a cache (Redis or otherwise) and see some really significant speed-up.

Sponsor: Big thanks to my friends at Octopus Deploy for sponsoring the feed this week. Build servers are great at compiling code and running tests, but not so great at deployment. When you find yourself knee-deep in custom scripts trying to make your build server do something it wasn't meant to, give Octopus Deploy a try.

About Scott

Scott Hanselman is a former professor, former Chief Architect in finance, now speaker, consultant, father, diabetic, and Microsoft employee. He is a failed stand-up comic, a cornrower, and a book author.

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Disclaimer: The opinions expressed herein are my own personal opinions and do not represent my employer's view in any way.