I’m excited and happy that it’s finally available. But I’m also relieved as there were times when I thought it would never happen 🙂 In this post, I want to share some details about the course and why I decided to make it.
While playing with EventPipes, I wanted to better understand the Diagnostic IPC Protocol. This protocol is used to transfer diagnostic data between the .NET runtime and a diagnostic client, such as, for example, dotnet-trace. When a .NET process starts, the runtime creates the diagnostic endpoint. On Windows, the endpoint is a named pipe, and on Unix, it’s a Unix domain socket created in the temp files folder. The endpoint name begins with a ‘dotnet-diagnostic-’ string and then contains the process ID to make it unique. The name also includes a timestamp and a ‘-socket’ suffix on Unix. Valid example names are dotnet-diagnostic-2675 on Windows and dotnet-diagnostic-2675-2489049-socket on Unix. When you type the ps subcommand in any of the CLI diagnostics tools (for example, dotnet-counters ps), the tool internally lists the endpoints matching the pattern I just described. So, essentially, the following commands are a good approximation to this logic:
$ ls /tmp/dotnet-diagnostic-*
PS me> [System.IO.Directory]::GetFiles("\\.\pipe\", "dotnet-diagnostic-*")
The code for the .NET process listing is in the ProcessStatus.cs file. After extracting the process ID from the endpoint name, the diagnostics tool creates a Process class instance to retrieve the process name for printing. Armed with this knowledge, let’s try to intercept the communication between the tracer and the tracee.
Recently, I was looking into the internals of the Visual Studio debugger for the .NET Diagnostics Expert course. I was especially interested in how the Docker debugging works. For those of you who haven’t tried it yet, let me provide a concise description.
In Visual Studio 2019, when we work on the ASP.NET Core project, it is possible to create a launch profile that points to a Docker container, for example:
And that’s fantastic as we can launch the container directly from Visual Studio. And what’s even better, we can debug it! To make this all work, Visual Studio requires a Dockerfile in the root project folder. The default Dockerfile (which you can create in the ASP.NET Core application wizard) looks as follows:
FROM mcr.microsoft.com/dotnet/core/aspnet:3.1-buster-slim AS base
FROM mcr.microsoft.com/dotnet/core/sdk:3.1-buster AS build
COPY ["WebApplication1.csproj", ""]
RUN dotnet restore "./WebApplication1.csproj"
COPY . .
RUN dotnet build "WebApplication1.csproj" -c Release -o /app/build
FROM build AS publish
RUN dotnet publish "WebApplication1.csproj" -c Release -o /app/publish
FROM base AS final
COPY --from=publish /app/publish .
ENTRYPOINT ["dotnet", "WebApplication1.dll"]
And that’s it. If we press F5, we land inside an application container, and we can step through our application’s code. It all looks like magic, but as usual, there are protocols and lines of code that run this machinery behind the magical facade. And in this post, we will take a sneak peek at them 😊.
Recently, I hit an interesting error during a deployment orchestrated by Ansible. One of the deployment steps was to execute a custom .NET application. Unfortunately, the application was failing on each run with an ACCESS DENIED error. After collecting the stack trace, I found that the failing code was ProtectedData.Protect(messageBytes, null, DataProtectionScope.CurrentUser), so a call to the Data Protection API. To pinpoint a problem I created a simple playbook:
Interestingly, the original playbook succeeds if the testu user has signed in to the remote system interactively (for example, by opening an RDP session) and encrypted something with DPAPI before running the script.
It only made me even more curious about what is happening here. I hope it made you too 🙂
If you are developing, testing, or supporting web applications, you probably encounter situations when you need to record or modify HTTP traffic. Quite often, the browser request viewer might be enough, but what if you need to modify the traffic on the fly? Another challenging task is testing how your application behaves when put behind a load balancer or an edge server. There are many great HTTP proxies available in the market, including mitmproxy, Burp Suite, or Fiddler and they may be perfect in diagnosing/testing your applications. In this post, however, I am encouraging you to write small tools for your specific needs. There are many reasons why you may want to do so, such as the need for complex requests modifications, better control over the request processing, or customizations of the certificate creation. Of course, implementing the HTTP protocol could be demanding so, don’t worry; we won’t do that 🙂 Instead, we will use the open-source Titanium Web Proxy. The code samples in this post are meant to be run in LINQPad, which is my favorite tool for writing and running .NET code snippets, but you should have no difficulties in porting the samples to a C# script or a console application.