Branching Strategy – The Forgotten Child of DevOps

May 31, 2018 Logan Daigle

The ideal DevOps project starts with everything stored in source control. As a coach, I often find that too little thought is given to how a team will handle their source control branching strategy. Time and time again I have seen how this one decision determines much of the complexity of both product and process. The ease of the journey to continuous delivery is largely dependent on this decision. Teams see success when they take time to make this decision and don’t just buy into master-only development or a model such as GitFlow. Instead, they think about how they want to manage complexity, and it starts with source control and branching strategy.

As an industry, we don’t think about branching strategies in depth or enough. One of the key tenets of DevOps is systems thinking and people tend to forget about it, albeit unintentionally. If branching strategy is supposed to be the best thing since sliced bread, why does it feel or look like we’re trying to navigate through a train yard with no knowledge of how to navigate through the train yard? We’re not train engineers, at least not at the beginning of our efforts.

The current state of branching strategies is usually more like organized chaos. The less complex or the simpler your branching strategy is, the simpler your product is going to be, and the simpler it will be to maintain it. Feature branching and feature toggling are two ways to simplify:

  • Feature branching: Feature branching is when you take a feature, work on it by yourself in its own little space, and then merge it back in to the pipeline. Oftentimes I see people using a much more complex model called GitFlow. GitFlow can be abused as a branching model although it comes in handy for understanding that you still need to maintain all the code, but it’s infinitely more complex.
  • Feature toggling: Feature toggling can be helpful, especially if you work iteratively or with an agile process. Jez Humble and Dave Farley are very clear in their book Continuous Delivery and the follow up since writing this text book. Trunk “based” (not trunk only) development is key to the team understanding and integrating their changes together. When the team has to deal with integrating their changes on a trunk or master branch every day, they have to deal with the pain of integration immediately instead of somewhere down the line with a merge. When we introduce feature toggling, teams can provide toggles around their new features to make sure they have control of them in production. Feature toggling gives teams (Dev and Ops) the ability to make sure that when something doesn’t work as expected, it can quickly be turned off.

All of this means that we have to learn as an organization what works best for us. On the complexity curve, this isn’t a linear problem, it’s more exponential. Just think about the number of branches that you have to maintain and all of the work you have in progress at any given time – it’s naturally more exponential. What can also add to the complexity is if you’re using a model where you create a lot of branches, you might be doing work that’s not actually going to get out into your production environment, which is a problem, because then you’re spending time doing something that you might never get back to.

The more often we work together and on fewer things, the better off we are. Keeping it simple doesn’t mean that it can’t be complex. Keeping it simple just means that everybody knows what’s going on, everybody knows how to use their own internal process the right way, so that when it comes time for changes to come together for a release or a deployment, everything works together very, very smoothly. That’s how I hope you can be epic with your own branching strategies and reduce the complexity of your product.


About the Author

Logan Daigle

Logan Daigle is a DevOps Coach with VersionOne from Charlotte, NC. He has been involved with providing and implementing DevOps solutions since 2011. He has development and DevOps experience in the military, government, healthcare, retail and finance industries. Logan has a passion for being Agile, doing DevOps well and using agile engineering practices to build, test and deploy software. His experiences have been in support of both Windows and Linux infrastructure, and many tools that are key to the success of applications in both.

More Content by Logan Daigle
Previous Article
Expanding Agile-plus-DevOps Across the Enterprise Value Stream
Expanding Agile-plus-DevOps Across the Enterprise Value Stream

DevOps has grown significantly in recent years as an approach to better and faster software delivery throug...

Next Article
Four Questions to Manage Your Value Stream
Four Questions to Manage Your Value Stream

While it may seem that DevOps is past its honeymoon phase, quite the opposite might be true. As noted in th...