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.NET Core Runtime RC2 has been released a few days ago along with .NET Core SDK Preview 1. At the same time of .NET Core release, ASP.NET Core RC2 has also been released. While I am migrating my projects to RC2, I wanted to write about how I am getting each stage done. In this post, I will show you the tooling aspect of the changes.
@ 05-22-2016
by Tugberk Ugurlu

.NET Core Runtime RC2 has been released a few days ago along with .NET Core SDK Preview 1. At the same time of .NET Core release, ASP.NET Core RC2 has also been released. Today, I started doing the transition from RC1 to RC2 and I wanted to write about how I am getting each stage done. Hopefully, it will be somewhat useful to you as well. In this post, I want to talk about the tooling aspect of the transition.

Get the dotnet CLI Ready

One of the biggest shift from RC1 and RC2 is the tooling. Before, we had DNVM, DNX and DNU as command line tools. All of them are now gone (RIP). Instead, we have one command line tool: dotnet CLI. First, I installed dotnet CLI on my Ubuntu 14.04 VM by running the following script as explained here:

sudo sh -c 'echo "deb [arch=amd64] trusty main" > /etc/apt/sources.list.d/dotnetdev.list'
sudo apt-key adv --keyserver --recv-keys 417A0893
sudo apt-get update
sudo apt-get install dotnet-dev-1.0.0-preview1-002702

This installed dotnet-dev-1.0.0-preview1-002702 package on my machine and I am off to go:


You can also use apt-cache to see all available versions:


Just to make things clear, I deleted ~/.dnx folder entirely to get rid of all RC1 garbage.

Get Visual Studio Code Ready

At this stage, I had the C# extension installed on my VS Code instance on my Ubuntu VM which was only working for DNX based projects. So, I opened up VS Code and updated my C# extension to latest version (which is 1.0.11). After the upgrade, I opened up a project which was on RC1 and VS Code started downloading .NET Core Debugger.



That was a good experience, I didn't dig into how to do that but I am not sure at this point why it didn't come inside the extension itself. There is probably a reason for that but not my priority to dig into right now :)

Try out the Setup

Now, I am ready to blast off with .NET Core. I used dotnet CLI to create a sample project by typing "dotnet new --type=console" and opened up project folder with VS Code. As soon as VS Code is launched, it asked me to set the stage.


Which got me a few new files under .vscode folder.


I jumped into the debug pane, selected the correct option and hit the play button after putting a breakpoint inside the Program.cs file.


Boom! I am in business.


Now, I am moving to code changes which will involve more hair pulling I suppose.


In this short post, I will try to explain why I think that your Git repository should be your deployment boundary.
@ 05-22-2016
by Tugberk Ugurlu

Deployment of the software has been a constant challenge possibly from the very start. It could be a web application, HTTP services, a Play Station app, an application running inside a Raspberry PI. All have the challenges of deploying new changes. It even makes you go down the route of a different architecture to make the deployments scale. One of the big challenges of software deployments is that there is not one generic rule or practice that you can apply and it will all be shinny. This doesn't mean that we don't have generic practices or techniques around it. However, the way your software lives in its destination(s) and the way it's being consumed are factors that you need to take into consideration before coming up with a deployment strategy.

There is a little bit of catch-22 here as you sometimes shape the architecture around the deployment strategy (not saying this is a good or bad way, not exactly sure yet). So, there is a fine balance you need to hit here to grab the robes of success.

So, what I am going to tell you here now might not seem to fit for everyone but I believe that it is the first step to make your deployment strategy a viable one. I will throw it here: your Git repository is your deployment boundary. This idea is so subtle, easy to grasp and easy to reason from. What this really means that all the things you have inside one repository will be part of only one deployment strategy. The main reason for this is versioning. Git allows you to tag your repositories and you use these feature to put you into different deployment pipelines based on you're the type of the change (e.g. minor, patch or major). See my previous post on versioning builds and releases through SemVer for a bit more detail on this.  However, it will get messy if you try to maintain multiple different versions inside the same repository for different components. You will easily lose touch on how two components relate to each other over time.

Ask yourself this when you are structuring your repositories: are any of the components inside a repository has a different release cadence? If the question is yes, try to think of why and if the reasons are legitimate, give that components a new, separate home.

Hi 🙋🏻‍♂️ I'm Tugberk Ugurlu.
Coder 👨🏻‍💻, Speaker 🗣, Author 📚, Microsoft MVP 🕸, Blogger 💻, Software Engineering at Deliveroo 🍕🍜🌯, F1 fan 🏎🚀, Loves travelling 🛫🛬
Lives in Cambridge, UK 🏡