Using GitHub Behind a Proxy (Windows)

At work I am connected to the internet through a proxy. The proxy prevented me from connecting to repositories on GitHub because authentication isn’t handled properly. A co-worker recommended using the CTNLM proxy (http://cntlm.sourceforge.net/) to handle the authentication.

CNTLM works well, but he said he was having a problem with slow connections. He said he found an issue where the proxy would try multiple times to connect and would timeout and finally connect to the Git server. He noticed that it was trying to connect to local host as with ::1, like a funky empty IPv6 address. He said that adding a proxy to .gitconfig (global or systemwide config) would cause it to connect faster without having to wait for all the different connection try and failures:

[http]
proxy = http://127.0.0.1:3128
[https]
proxy = http://127.0.0.1:3128

Why does this work? I don’t have enough geek cred to know this yet, but it works and I wanted to save it here for the time I have to setup a new computer and I forget what I did.

Join the Hour of Code

Give Back

If you are a programmer, developer, software engineer… someone who writes code, think about giving back this week in honor of Computer Science Education Week by helping introduce programming to someone. President Obama kicked of this week by announcing this year’s Hour of Code. If you were under a rock last year, Hour of Code is a global movement to get kids exposed to and excited about coding.

Anybody Can Teach and Learn

Even if you aren’t a coder by trade or hobby, you can still teach and learn with these simple tutorials:

If Nothing Else, Spread the Word

If you can’t personally walk someone through some of the fun Hour of Code tutorials, the least you could do is spread the word through your social networks. Share the Hour of Code movement with others that may be in a position to help pass the torch to the future leaders of our industry.

GoCD: Versioning .Net Assemblies

I recently updated my versioning on my build server to help separate CI builds from builds that are being publicly distributed. My versioning scheme for CI builds looks like 5.4.4-239CI37380 following SemVer 2.0 this gives me Major.Minor.Patch-PreRelease. My PreRelease is the “Go Counter” + “CI” + “Source Revision Number”.

Unfortunately, assembly versions use a different scheme, Major.Minor.Build.Revision and are only allowed to have numbers and no dashes (AssemblyVersionAttribute). So, I ended up keeping the CI version for file names, but changed the assembly to just use the Major.Minor.Patch for the assembly Major.Minor.Build (you with me?). Then for to help identify different assemblies I added the Go Counter to the end.

The lesson is to only use numbers in your .Net assembly version numbers.

hack.summit

I should have posted this days ago, but hack.summit starts today. If you don’t know, hack.summit is now the largest developer conference in the world. It features programming language creators, open-source contributors, and thought leaders from around the world. The conference is free, if you share it on social media, but giving a donation is the best way to give back to the development community.

Anyway, check it out, register, donate, and I’ll see you online.

https://hacksummit.org/

Deploying NuGet Packages Instead of Zips

I was on a project to improve an application deployment process that used zip files for packaging the applications. Zips are good. They allow you to package and compress files into one bit sized file, but there is so much more to be had with a dedicated package solution.  Maven, gem, wheel, npm, cpan, rpmdebnuget, chocolatey, yum… the list goes on and with so many options to provide an improved package for deployment its hard to justify using plain old zips.

Since this was a .Net project I focused on NuGet. NuGet is itself a zip file, but a zip on steroids. Zip provides the compression and NuGet adds additional meta data and functionality.

  1. Standard package meta data and file layout.
  2. Versioning ala SemVer.org.
  3. Package manager to control install, upgrade, and uninstall.
  4. Dependency management.
  5. Having a package manage file deployment means you have a repeatable process as opposed to manual where one missed file can kill you. Also, when I deploy the same package multiple times the system is in the same state after each deployment, idempotent.

Enough of the sales pitch. Actually, one problem that I had with using NuGet alone was no easy way to validate the package through checksum. So, in addition to NuGet, using a dedicated artifact repository solution like Artifactory gives an added layer of comfort. A good paper, although biased, on Artifactory can be found here.

Happy Packaging!

Build Once, Deploy Everywhere

We were faced with an interesting problem. We want to build once and deploy the build to multiple environments for testing, staging and ultimately consumption in production. Well in addition to build once, we also want to allow remote debugging. We need to build in debug mode to get pdb generated and have other configurations that will allow debugging. Yet, we don’t want to deploy a debug build to staging or production. What do we do?

The thought right now is to do a debug build and create to packages, one for debug and one for release. To do this we would have to strip out the pdb and turn on debugging in the release package. So, we still have one build, but we have two flavors of packages.

I am not yet sure if this is viable, hence the reason I am blogging this out. First I need to fully understand the difference between a debug and release build in MSBuild. I have an idea, but I need to verify my assumptions.

Difference Between Debug and Release Build

What I have found is the main difference between debug and release building are:

  1. Debug build generates pdb files.
  2. Release build instructs the compiler to use JIT optimizations.

PDB files are symbol databases that allow a debugger to map machine code to source code (actually MSIL) so you can set break points in source code and the debugger can halt execution of the machine code. This is probably a terrible explanation, but you should get the gist.

JIT optimizations are things the compiler does to speed up the execution of your code. It may reorganize loops to make them run faster and other little magic tricks that happen under the cover that we usually never have to worry about.

Scott Hanselman has an interesting post on this, http://www.hanselman.com/blog/DebugVsReleaseTheBestOfBothWorlds.aspx. This posts suggest that you could do a release build and configure the runtime with an ini file that would determine if JIT optimizations are performed or tracking information is generated.

http://msdn.microsoft.com/en-us/library/9dd8z24x(v=vs.110).aspx this post explains more about the ini.

Now What?

After doing this research I learned a lot about building .Net code, but I also realized that I am taking this a little to far. My primary goal is that we build our application once and use that build in multiple environments to get it tested and deployed to production. When we need to do a remote debug we are using researching an issue and there is no reason that we couldn’t flip a switch on one particular build so that it builds in debug mode, deploy it to a test environment, debug it, make some fixes after finding the cause of the issue we are debugging, then flip the switch back to release and build again, this time allowing the build to go all the way to production.

Issues

The problem here is that we need to make sure that we do not allow debug builds to make it into production. My initial thought is to mark debug builds with a version that is tagged with DEBUG. Then I can have logic in the production deploy that checks for the DEBUG tag and fail the deploy if it is present. We can do the same for pdb files and web.config. Specifically, check for inclusion of pdb (we shouldn’t have pdb file in production). We can also have logic that checks for debug=true and other configurations that we don’t want leaking into production.

We would have to alter our deployment pipeline to add a job that will do these checks based on the environment being deployed. We would have to also look at maybe putting debug builds in a different artifact repository to keep them segregated from release candidates. This would also cause another change to the deployment pipeline where we check the release candidate or debug repository based on some setting.

Conclusion

This would be a lot of changing to our pipeline, but I believe it is worth it in the long run. It also prevents us from leaking manual processes into how we build and deploy the app.

GoCD: Automate Agent Install with PowerShell

I have been setting up build servers and I have been exploring automating the process. So, I have been scripting every step I take to stand the servers up. In this post I will sharing some of the commands I use to create GoCD Agents. If you decide to go down this road, you should think about creating reusable scripts and parameterize the things that change (I didn’t want to do all the work for your :). Also, it would make sense to use a configuration manager like DSC, Puppet or Chef to actually run the scripts.

I am using PowerShell remotely on the build servers, which is indicated by [winbuildserver1]: PS> in the command prompt. Check out my previous post to learn more about configuring remote servers with PowerShell.

Copy Install Files

The first thing I do is copy the install files from the artifact repository to the server.

[winbuildserver1]: Copy-Item -Path \\artifactserver\d$\repository\Go-Agent\go-agent-14.1.0-18882\go-agent-14.1.0-18882-setup.exe -Destination "D:\install-temp\" -Recurse -Force

Install Agent

[winbuildserver1]: PS>([WMICLASS]"Win32_Process").Create("D:\install-temp\go-agent-14.1.0-18882-setup.exe /S /SERVERIP=<ip of go server> /GO_AGENT_JAVA_HOME=<path to JRE> /D=D:\Go Agents\Internal\1\")

Here we are getting a reference to the static WMI class “Win32_Process”, call the create method passing the command line to install an agent (http://www.thoughtworks.com/products/docs/go/current/help/installing_go_agent.html). In the command line we have

  • the path to the install file
  • /S switch for silent install (no user prompts)
  • /SERVERIP switch for the IP of the Go Server (this is optional)
  • /GO_AGENT_JAVA_HOME switch for the path to the JRE (this is optional)
  • /D switch is the path to location you want to install the agent.

Run Multiple Agents on Same Server

If I want to run multiple agents on the same server I do a little extra work to get the other agents installed.

[winbuildserver1]: PS> Copy-Item "D:\Go Agents\Internal\1\*" -Destination "D:\Go Agents\PCI\1"
[winbuildserver1]: PS> Remove-Item "D:\Go Agents\PCI\1\config\guid.txt"
[winbuildserver1]: PS> Remove-Item "D:\Go Agents\PCI\1\.agent-bootstrapper.running"

Here we are just copying an installed agent to a new location and removing a couple files to force the agent to recreate and register itself with the server.

Create Agent Service

Lastly, I create a service for the agent.

[winbuildserver1]: PS> New-Service -Name "Go Agent PCI 1" -Description "Go Agent PCI 1" -BinaryPathName "`"D:\Go Agents\PCI\1\cruisewrapper.exe`" -s `"D:\Go Agents\PCI\1\config\wrapper-agent.conf`""

Get more on using PowerShell to configure services in my previous post.

Conclusion

I use similar commands to install the server, plug-ins, and other tools and services (e.g. Git, SVN, NuGet…) that I need on the build server. I have to admit that this isn’t totally automated yet. I still have to manually update the service account, credentials and manually accept a certificate to get SVN working with the agent, but this got me 90% done. I don’t have to worry about my silly mistakes because the scripts will do most of the work for me.

GoCD: Environment Variables in Build Scripts

I wanted to use some of the GoCD Environment Variables in my build scripts, unfortunately finding info on how to do that was limited or my search skills lacking.

Anyway, to use a Pipeline Parameter you would tokenize the parameter like so:

#{ParameterName}

To use a GoCD Environment Variable you would tokenize the variable like this:

%VariableName%

GoCD: 404 Error Fetching Artifact [SOLVED]

Problem

[go] Could not fetch artifact https://127.0.0.1:8154/go/remoting/files/pne.test.build/127/Build/1/Build/cruise-output/PreTest.PreTest.nant.log.xml?sha1=8899RvS5mElcpqSju5FdfoYPUQU%3D. Pausing 19 seconds to retry. Error was : Unsuccessful response '404' from the server

This error stumped me for a while. The reason it stumped me is because of the IP addrdess and port, my Go Server is not located there. The Go Agent is not on the same server as the Go Server, so it shouldn’t be using a local IP. The agent configuration is properly pointed to the Go Server’s IP and port. I assumed that the 404 was because of the incorrect IP and port and I did a lot of research and digging trying to correct it.

Issue

I finally figured out that this error is simply stating that the file was not found.

Solution

I am not sure why the wrong IP and port is reported, but when the file in the error was added to the artifacts on the server, the error went away.

OMG! .Net is Open Source

The world is a change’n.

From the horses mouth, http://blogs.msdn.com/b/dotnet/archive/2014/11/12/net-core-is-open-source.aspx. They also have a GitHub repo, but it currently doesn’t include everything – https://github.com/dotnet/corefx.

This is very exciting news for .Net developers as this opens up our .Net skills to be eventually applied on other platforms (Linux, MacOS, iOS, Android…). Also, getting the opportunity to browse the code base and learn from it is appealing. Hopefully, I get a chance to contribute.