![]() ![]() ![]() Instead of doing a pull request for each repo, figuring out in which order to build your changes, you just need to make an atomic pull request which will contain all commits related to the feature that you are working against. Easily refactor global features with atomic commits.Same goes for unit, e2e, and integration tests-your CI will be able to launch all tests without having to deal with additional configuration. Since everything is located inside one repo, you can configure your CI/CD and bundler once and then just re-use configs to build all packages before publishing them to remote. One place to store all configs and tests.Let’s take a close look at the exact pros and cons of using the monorepo in the wild. And you still have scalability, opportunity to separate concerns, code sharing with common packages, and a lot of other pros. Instead of having a lot of repositories with their own configs, we will have only one source of truth-the monorepo: one test suite runner, one Docker configuration file, and one configuration for Webpack. At this step, we are meeting the monorepos. Or, for example, if you have to change something in your build system, you will have to go over each repo, do a commit, create a pull request, and wait for each build, which slows you down a lot. But how do you manage those packages? Each package will have to have its own workflow environment configuration, and this means that every time you want to create a new package, you will have to configure a new environment, copy over all configuration files, and so on. To make this happen, you will probably want to isolate large features into some packages and then use them via a single entry point in your main app. If you are thinking about architecture, you will want to do two main things: Separate concerns and avoid code dupes. And now imagine that instead of a small app, you need to maintain a huge platform consisting of a lot of functional areas. ES6, SCSS preprocessors, task managers, npm, etc.-nowadays, to maintain a small React-based app, you have to deal with project bundlers, test suites, CI/CD scripts, Docker configurations, and who knows what else. You may ask, if it has existed for a decade, then why is it such a hot topic only now? Mostly, over the course of the last 5 to 6 years, many things have undergone dramatic changes. Google was one of the first companies that adopted this approach for managing their codebases. Given that following are dependencies of package-c which, requires package-a and package-b, this is how we express it in package.This concept is relatively old and appeared about a decade ago. We now use asterisk symbol to express dependencies between different monorepo packages. A word on expressing dependencies between packages You’ll need to convert your package-lock.json file to the new format for workspaces to work correctly. npm workspaces require This version of npm uses the new format of a p ackage-lock.json file. Dependency managementĭependency managed has been simplified significantly with npm workspaces. In the following texts, I’m assuming you have your monorepo setup as described in the first part of this series. Monorepo must have a mechanism to interconnect packages and allow us to use one package code within another. Every package contains code specific to its context and can depend on zero or more other packages within monorepo. Monorepo code is usually divided into separate contexts, called packages. Let’s first define what monorepo is: Monorepo is a software development strategy where code for many projects is stored in the same repository. Nevertheless, I highly recommend you read the first part of this series to be familiar with how things used to be. This article will try to describe monorepo management practices in the world of workspaces. The first part dealt with monorepo management in depth using Lerna and npm local paths long before workspaces were introduced. This is the second part of the article series dealing with monorepo management using Lerna. ![]()
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