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How to choose between mono-repo and poly-repo

3-MINUTE READ

January 21, 2021

In the past year or so, the conversations around "mono-repo/monorepo" and "poly-repo/polyrepo" came up quite frequently with my clients in the custom application space. The conversations seemed to go both directions: some clients are moving from poly-repo to mono-repo, while others are considering breaking up mono-repo to poly-repo. Today, I'd like to share my point of view on this topic.

What are mono-repo and poly-repo?

When you work with a large application or system, most likely you will want to break up your application into manageable components—have you heard of microservices (and its new buddy, microfrontend)? Mono-repo and poly-repo are the two most common approaches of how you store and organize your code. Mono-repo, as its name suggests, is storing the code of your entire application in a single repository (such as Git repo). You put microservices or UI components, or even shared libraries into separate directories under the same Git repo. Poly-repo is the opposite; each microservice, UI app, and the shared library has its own repository.

Which approach is better?

From my observation, there is no consensus in the community on what is “better." In my perspective, each approach has its own benefits and drawbacks. You will have to evaluate and understand the implications. Here are a few areas for consideration:

Onboarding

Mono-repo tends to make it easier to onboard someone. When you clone the repo, you get every piece of code that the application requires to run. For poly-repo, you will need to know which repos to clone, getting code from the right branch. If they don't use the same branching strategy, that's even tougher. New team members can also go through the code easily in their favorite development tools, since the source for every component is cloned at once.

Run the entire application locally

Especially in a full-stack team, if the intent is to have both back-end and front-end components run locally on a developer's workstation, it is much easier to do that with mono-repo. A script can be easily written to start each service/frontend locally because the paths and file structure are known. In the JavaScript ecosystem, there are many tools you can use to facilitate this (for example, Nx: Smart, fast extensible build system). For poly-repo, you may need to open multiple terminals for each repo and start the components separately. The tool or framework used for facilitating the build and run plays a big part here; you will want to make sure you select the right tool that supports the styles of your components well.

Note that, in many cases, this is not a requirement. Your engineers may only work with one component at a time, and wire up the local instance with other services in a shared dev environment.

Continuous Integration/Continuous Delivery pipeline

Poly-repo has a lower overhead in this area. On a Continuous Integration server, it is common to have a build and release pipeline dedicated for each component. (Remember, one of the microservice principles - independently deployable.) If the entire repository is for one component in the case of poly-repo, then any changes pushed to that repo would trigger a test, build & release pipeline for that particular component only. In the mono-repo world, you will have to specifically configure the pipeline to only trigger when the changeset includes the files for that pipeline that builds a specific component. Many of the Continuous Integration servers support this capability, but not all of them. (At one point Jenkins did not support this out-of-the-box, and would require a special plug-in and custom code to do it.) If there are files outside the component directory and they are changed, you may need to consider building every component.

Dependency management

Mono-repo encourages tightly coupled dependency between components in the repo, because all components are next to each other in the file structure. (Maybe saying encourages isn't fair—it doesn't stop you and it just makes it easy to do so.) This can be good or bad.

  1. When a project is starting out, you most likely will be building the common libraries as you go. There will be frequent changes to the shared library package. Using mono-repo means everyone gets the changes at the same time. The process to refresh the shared code is as simple as checking out the latest code from the repo. With poly-repo, either you publish your common/shared code with a package management tool, or you have to do something like git submodule which makes your DevOps engineer's life harder.

  2. As the application becomes more mature, the ability to "version" the common libraries will come in play. Certain components of the app may not require the new features added to the common libraries—and they should not be forced to update their code. If you have a mono-repo, you will HAVE to always update even if you don't need the change (or the common library has to have full backward-compatibility.)

  3. Teams’ organization also matters. If it's a single team, they know all the code and dependencies. Mono-repo shouldn't be a problem. But when you have multiple teams, tightly coupled dependency can cause problems. Maybe the code your team depends on got changed without your knowledge and breaks your team's code.

Release cadence

This is not directly related to mono- or poly-repo. But since using mono-repo can result in tightly coupled dependencies between components, your components may not be 100% independently deployable. Your release coordination effort will go up. Note: this concern can be addressed with the proper governance/review process—making sure developers don't build any tightly coupled relationships.

In summary

It is best to evaluate these concerns and the situation your teams are in. Some of these may have bigger impacts that others. From my experience, for a smaller team, starting with mono-repo is always safe and easy to start. Large and distributed teams would benefit more from poly-repo.

WRITTEN BY

Ned Visolyaputra

Senior Technology Architect