Continuous Delivery Tips05 Aug 2015 · Comments
I recently gave a friend some advice on setting up his first Continuous Delivery Pipeline. We’ve been running pipelines on our .NET web projects for the last couple of years so I had a few tips that I’ll document here for posterity.
A continuous delivery pipeline is the practice of breaking your automated build and test process into a number of stages. Early stages build and unit test the software, providing fast feedback on the basic correctness of the code. Later stages perform lengthier tests like integration tests, performance tests and manual exploratory testing. Each stage provides increasing confidence, so when a release candidate makes it to the end of the pipeline it can be deployed into production. For further information, check out Martin Fowler’s article.
Tip #1: Use a decent scripting language
To set up a pipeline, you’ll need to automate lots of tasks… and that means writing a large number of scripts. Currently we have scripts for:
- Building the code into binaries
- Running automated tests
- Generating documentation
- Publishing documentation
- Applying version numbers
- Changing configuration files
- Deploying web applications
- and much more…
Get used to the idea that these scripts will be first class citizens in your codebase that need the same care and attention as your production code.
We use Ruby, more specifically Rake, for all of our scripting needs. Now choosing Rake for scripting .NET projects has raised a few eyebrows at the office, but it actually works really well. The Albacore project extends Rake to add tasks for building and testing .NET:
build :rebuild do |b| b.sln = 'MyProject.sln' b.target = ['Clean', 'Rebuild'] b.prop 'Configuration', 'Release' end
One of the advantages of using Rake is that you’re actually writing Ruby code. That means you can write custom tasks directly in the Rakefile using the full power of Ruby with its clean and readable syntax. Adding a Gemfile to your project allows you to download third party libraries (Gems) for all kinds of tasks such as XML manipulation, sending emails, making HTTP calls etc.
Finally, avoid declarative XML based task systems (I’m looking at you MSBuild). Their syntax is verbose and horrible to read, especially if looping or branching is required in your scripts. Custom tasks are generally farmed out to another scripting language like PowerShell, or worse yet compiled into DLLs, so even the simplest scripting task becomes a real chore.
Tip #2: Don’t marry your CI platform
Continuous integration platforms like TeamCity provide all sorts of fancy features to entice you into a long term relationship. They can detect the type of project in your source code and automatically build it, provide runners for every testing framework known to mankind, even publish your libraries to package managers and your websites to the cloud!
Don’t be tempted! The problem here is that the logic needed to build and release your software gradually moves from your source controlled codebase into your CI platform’s configuration screens.
I worked on one project that totally relied on the CI server to build and package the code. No one knew how to do it manually if the build server was offline - you couldn’t even produce a custom build from your development environment to use in a sales demo.
Here’s the golden rule:
Every task performed on the build server can also be done by a developer, from the command line, on their local development environment
If you follow this rule then developers can write and test their scripts in isolation, without interrupting the delivery pipeline. It also makes it easier to reproduce and debug issues with your scripts.
For us, this means that our TeamCity server simply runs a series of Rake tasks at each stage of the delivery pipeline; and we use a clone of our development VM (built using Vagrant) as the TeamCity build agent.
Tip #3: Use traceable version numbers
All being well, your pipeline will be pumping out multiple release candidates every day… one for each push that a developer makes to the repository.
Different releases will be deployed to your various test, demo and production environments, so it’s useful to have a numeric version number that can easily be traced back to your source control. This helps with questions such as:
does this release include the fix for bug #99?
is our demo server on the same version as production?
We use a fairly standard numeric version number like
v22.214.171.1247 made up of
build parts. The first three parts are set manually
by adding an annotated tag to the commit in our Git repository.
$ git tag -a v1.4.2 -m 'Tagging v1.4.2' $ git push --tags
build part of the version number is automatically generated based on the
number of commits since the last tag. Git will tell you this when you use the
$ git describe v1.4.2-357-gec812be
This approach allows you to trace a version back to the specific commit in source control that it was built from. If you keep your code in GitHub this works with their Releases feature as it also uses annotated tags in the same manner.
Tip #4: Quarantine flakey tests
There’s nothing worse than a non-deterministic test. They never misbehave while you’re watching them, they can be very tricky to diagnose, and they always start failing while you’re trying to get a critical fix through the pipeline.
Setup a quarantine stage early in the project that runs after your main testing stages, but doesn’t block a release candidate from progressing through the rest of the pipeline. When a test starts failing intermittently, place it in the quarantine until you have a chance to properly investigate and fix it.
There shouldn’t be too many tests in the quarantine, you should be actively working on improving their reliability, so that means the quarantine stage can be re-run quickly, and repeatedly, until the tests go green. If the tests aren’t passing, even after a few re-runs, then there’s probably a real issue with the functionality.
We prefer to use a quarantine instead of simply ignoring or removing the test. There is still value in running your non-deterministic tests on a regular basis, and it’s much harder to forget about them when they are clearly visible as a stage in your pipeline.
For further reading, check out Eradicating Non-Determinism in Tests.
Tip #5: Read the book
My final tip is to read the book. It’s an excellent read that clearly explains the practice of continuous delivery, and provides practical advice on how to set it up.
You can also read the chapter on deployment pipelines as a free download - what wonderful chaps!