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What is a monorepo and should you use one?

By The Trunk TeamAugust 27, 2024
infra

A monorepo, short for "monolithic repository," centralizes all your code in one place. This approach contrasts with multi-repo setups, where each project has its own repository. Understanding monorepos can help you decide if they suit your development needs.

What is a Monorepo?

A monorepo is a single repository that holds the code for multiple projects. This includes libraries, microservices, frontend, backend, IaC, and more. With a monorepo, all code lives in one place, making it easier to manage and share, using directories for organization instead of repos.

Historical Context and Evolution

Monorepos have been around for a while. Early software projects used monorepos because there were no alternatives. As software grew more complex, teams began using multiple repositories to isolate projects. Recently, companies like Google and Facebook have popularized monorepos again, showing their advantages in large-scale projects.

Common Misconceptions

Monorepos face several misconceptions:

  • Monorepo = Monolithic Architecture: Many think monorepos imply a monolithic architecture, but you can structure them with microservices.

    You Can Only Have One: It's a common belief that you can only have one monorepo. In fact, many companies use multiple monorepos to manage different parts of their codebase.

  • Single Language Myth: People think you must use one language. In reality, you can use multiple languages.

  • Tightly Coupled Code: Some believe monorepos lead to tightly coupled code. Proper practices can keep code modular.

  • No Independent Updates: Another myth is that you can't update services independently. Advanced deployment strategies can solve this.

Comparison with Multi-Repo Setups

Multi-repo setups have each project in its own repository. This can:

  • Simplify small teams' workflows.

  • Allow different tools for different projects.

  • Make managing dependencies harder.

In contrast, a monorepo:

  • Centralizes configuration.

  • Simplifies dependency management.

  • Makes atomic commits and refactoring easier.

Understanding these differences can help you choose the best setup for your team.

Why Use a Monorepo?

What are the Advantages?

Simplified Dependency Management: Managing dependencies in a monorepo becomes straightforward. All dependencies are in one place, reducing the chance of version conflicts. Imagine updating a shared library; with a monorepo, you change it once, and all projects benefit immediately.

Centralized Configuration for CI/CD: Continuous Integration and Continuous Deployment (CI/CD) pipelines become simpler with a monorepo. Instead of configuring CI/CD for multiple repositories, you set it up once. This centralization saves time and ensures consistency across all projects.

Atomic Commits Ease Refactoring: Refactoring becomes less painful. In a multi-repo setup, a single change might require multiple pull requests. With a monorepo, you make one atomic commit that touches all necessary parts of the codebase. This reduces the risk of errors and makes rollbacks easier.

Streamlined Package Publishing: Publishing packages is more efficient. Instead of managing releases across various repositories, you handle everything from one place. This reduces the overhead involved in synchronizing releases and ensures that all components work well together.

Real-World Examples

Google: Google is a major advocate for monorepos. They store most of their codebase in a single repository. This approach allows them to maintain a high level of code quality and collaboration across teams. Google's monorepo supports thousands of developers working on various projects without major conflicts.

Uber: Uber initially used multiple repositories but switched to monorepos. They found that  monorepos simplified dependency management and improved collaboration among teams. By consolidating their code, Uber reduced silos and streamlined their development process.

These examples show how large organizations leverage monorepos to enhance their workflows and collaboration.

What are the Challenges of Using a Monorepo?

Potential Drawbacks

Increased Complexity and Risk: While a monorepo simplifies some aspects, it introduces complexity. Managing a large codebase requires robust tools and practices. Mistakes can have widespread impacts, affecting multiple projects simultaneously. For instance, a bug in a shared library can break several applications at once.

Performance Issues in Large Repos: As the repository grows, performance can degrade. Operations like cloning the repository or running tests might slow down. Developers may experience delays, especially when working with a vast codebase. Tools like Git might struggle with the sheer size, requiring specialized solutions to maintain efficiency.

Risk of Team Silos and Inconsistency: Large teams can inadvertently create silos within a monorepo. Different teams might use varying coding styles or frameworks, leading to inconsistencies. Without strict guidelines, integrating different components can become challenging. This silo effect can negate the collaborative benefits of a monorepo.

Difficulty Scaling Up: Scaling a monorepo to accommodate more projects and teams is not always straightforward. The initial setup might handle a small number of projects well, but as more code and developers are added, maintaining efficiency becomes harder. Continuous Integration (CI) systems might need frequent adjustments to keep up with the growing codebase.

Addressing these challenges requires careful planning and the right tooling. Understanding both the benefits and drawbacks helps in making an informed decision about using a monorepo.

How to Mitigate Monorepo Challenges

Implementing Proper Tooling: The right tools are crucial for managing a monorepo effectively. Tools like Bazel, Lerna, and Nx can help handle build processes and dependency management. Bazel, for instance, can speed up builds by only recompiling the parts of the codebase that have changed. Lerna simplifies managing JavaScript projects with multiple packages. Using these tools can make handling a large codebase much easier and more efficient.

Ensuring Effective Team Communication: Clear communication is essential to avoid silos and inconsistency. Regular meetings and updates ensure everyone is on the same page. Documentation should be thorough and up-to-date. Using collaboration tools like Slack or Microsoft Teams can help teams stay connected. Code reviews and pair programming can also foster better communication and consistency.

Regular Refactoring and Maintenance: Keeping the codebase clean and well-organized is vital. Regularly scheduled refactoring sessions help maintain code quality. Conducting code audits can identify and fix potential issues early. Automated testing tools should be in place to catch bugs before they become significant problems. Continuous integration systems like Jenkins or CircleCI can automate these processes, ensuring that the code remains in good shape.

Using Partial Checkouts and Build Acceleration Techniques: To tackle performance issues, use partial checkouts. This technique allows developers to clone only parts of the repository they are working on. Tools like Git Sparse-Checkout can facilitate this process. Build acceleration techniques, such as caching and parallel processing, can also improve performance. For instance, caching previous builds can reduce the time needed for subsequent builds. Parallel processing allows multiple tasks to run simultaneously, speeding up the overall process.

By addressing these areas, you can manage a monorepo more effectively, making it a viable solution for large and complex projects.

When to Avoid Using a Monorepo

Scenarios Where a Monorepo May Not Be Suitable: Monorepos are not always the best choice, especially for small projects or teams. If your project is simple and does not require heavy collaboration across multiple teams, a monorepo might be overkill. Projects that do not require frequent updates or have minimal dependency management may fare better with a multi-repo setup. If your team prefers using different tools and languages for different parts of the project, a monorepo can complicate things.

Example of Performance Bottlenecks: Large monorepos can suffer from performance issues. For instance, if your codebase grows too large, operations like cloning the repository or running a full build can become very slow. Imagine a repository with thousands of files; each commit and checkout operation could take significantly longer than in a smaller repository. This can lead to developer frustration and decreased productivity.

Risks of Bad Performance on Scaling: As your project scales, the monorepo can become unwieldy. More code means more potential for merge conflicts and longer build times. Continuous integration systems might struggle to keep up with the increased load, leading to longer feedback loops. If not managed properly, the repository's size can slow down even basic operations, making day-to-day tasks cumbersome. This can hinder the ability to deliver updates quickly and efficiently.

Alternatives and Hybrid Approaches: If a monorepo seems too risky, consider hybrid approaches. One option is to use a polyrepo setup where each service or component has its own repository. This makes it easier to manage dependencies and scale the project. You can still use tools like Git submodules to link related repositories, maintaining some level of cohesion. Another approach is to start with a multi-repo setup and transition to a monorepo as the project grows. This allows you to assess the needs of your project and team before committing to a specific structure. 

By understanding these scenarios and risks, you can make a more informed decision about whether a monorepo is the right choice for your project.

Why Big Companies Prefer Monorepos

Case Studies

Google's Use Case and Benefits: Google is famous for using a monorepo to manage its codebase. They maintain billions of lines of code in a single repository. This approach allows all of their teams to collaborate more effectively. With all code in one place, developers can easily find and reuse code, reducing duplication. It also simplifies dependency management. For example, if a library needs an update, it can be done across the entire codebase in one go. Google's monorepo setup also aids in maintaining consistent coding standards and practices across teams, ensuring high-quality code.

Uber's Transition from Multi-Repo to Monorepo: Uber initially used a multi-repo setup, where each microservice had its own repository. However, this led to challenges with dependency management and code duplication. Teams often spent time duplicating code or managing dependencies between repositories. To solve these issues, Uber switched to a monorepo approach. This transition allowed them to centralize their configuration and streamline their CI/CD processes. Now, updates and bug fixes can be applied more efficiently across all services. It also reduced the overhead of managing multiple repositories, making their development process more cohesive and collaborative.

Benefits Seen in Large Organizations

Unified Source of Truth: In a monorepo, all code resides in one place. This creates a unified source of truth. Everyone on the team can access the latest version of the codebase, ensuring consistency. It eliminates the need for complex versioning systems across multiple repositories. When changes are made, they are visible to everyone, reducing the risk of conflicts or outdated dependencies. This transparency helps in maintaining a clear and up-to-date understanding of the project’s status.

Enhanced Collaboration and Standardization: Monorepos enhance collaboration by breaking down silos between teams. Developers can see and contribute to code across different parts of the project, fostering a more collaborative environment. This setup also promotes standardization. All teams use the same tools and follow the same coding standards, making it easier to onboard new developers. For instance, a new joiner at a company like Google or Uber can quickly get up to speed by following the established practices in the monorepo. Standardization also helps in maintaining code quality and reducing technical debt over time.

In summary, companies like Google and Uber prefer monorepos because they streamline processes, enhance collaboration, and maintain a high standard of code quality. Though not without challenges, the benefits often outweigh the difficulties, especially for large organizations with complex codebases.

How to Maintain a Monorepo Effectively

Regularly Updating Dependencies

Regular updates to dependencies are crucial in a monorepo. Outdated dependencies can lead to security risks and compatibility issues. By keeping dependencies up-to-date, you ensure that your codebase remains secure and functions smoothly with the latest tools and libraries. Automated tools like Dependabot or Renovate can help. These tools scan your repository for outdated dependencies and open pull requests to update them. This automation reduces manual effort and helps catch potential issues early.

Continuous Integration and Testing

Implementing continuous integration (CI) and continuous testing is essential. CI tools like Jenkins, CircleCI, or GitHub Actions can automate the process of building and testing your code whenever changes are made. This ensures that new code does not break existing functionality. In a monorepo, it's important to run tests not just for the changed components but also for any dependent modules. This comprehensive testing approach catches integration issues early. Additionally, setting up a robust test suite, including unit tests, integration tests, and end-to-end tests, helps maintain code quality.

Monitoring and Optimizing Performance

Monitoring the performance of your monorepo is key to ensuring it scales well. Tools like Prometheus or Grafana can be used to monitor various metrics, such as build times, test execution times, and resource usage. If you notice that build times are increasing, consider implementing build acceleration techniques. For example, you can use Bazel, a build tool designed to handle large codebases efficiently. Bazel allows for incremental builds, where only the changed parts of the code are rebuilt, significantly reducing build times. Another technique is to use partial checkouts, where developers only check out the parts of the codebase they need to work on, reducing the load on their local machines.

Documentation and Onboarding Processes

Comprehensive documentation is vital for maintaining a monorepo, especially as the codebase grows and more developers join the project. Documenting your coding standards, build processes, and deployment strategies helps ensure that everyone on the team is on the same page. Wikis or README files can be used to maintain this documentation. Additionally, an effective onboarding process is crucial. New developers should have access to tutorials and guides that explain how to set up their development environment, how to navigate the monorepo, and where to find important resources. Mentorship programs can also be beneficial, pairing new hires with experienced developers to help them acclimate more quickly.

Maintaining a monorepo requires attention to detail and the right set of practices. By regularly updating dependencies, implementing continuous integration and testing, monitoring performance, and ensuring comprehensive documentation, you can keep your monorepo running smoothly and efficiently.

What Tools are Essential for Monorepo Management?

Overview of Popular Tools

For managing a monorepo, several tools stand out. Git is the most common version control system used. It handles large codebases and multiple contributors efficiently. However, for very large monorepos, you might need more specialized tools like Git LFS (Large File Storage) to manage large binary files effectively.

Bazel is another powerful tool designed for building and testing large codebases. It supports many languages and platforms, making it versatile for various projects. Bazel's caching and parallel execution features greatly improve build times, which is crucial for maintaining a fast and responsive development workflow in a monorepo.

Role of CI/CD Pipelines

Continuous Integration and Continuous Deployment (CI/CD) pipelines are the backbone of a monorepo's development process. They automate the process of integrating code changes, running tests, and deploying applications. Jenkins, CircleCI, and GitHub Actions are popular choices for setting up CI/CD pipelines.

  • Jenkins: An open-source automation server that supports building, deploying, and automating any project.

  • CircleCI: Known for its speed and reliability, CircleCI integrates seamlessly with GitHub and Bitbucket.

  • GitHub Actions: Provides a way to automate workflows directly within GitHub, making it convenient for projects already hosted on GitHub.

These tools help catch issues early and ensure that all parts of the monorepo are compatible with each other before merging changes.

Code Review and Collaboration Tools

Effective code review and collaboration are essential in a monorepo environment. Tools like Gerrit, Phabricator, and GitHub's pull request system facilitate this process.

  • Gerrit: A code review tool that integrates with Git and allows developers to review changes before they are merged.

  • Phabricator: An open-source suite of tools for peer code review, task management, and project planning.

  • GitHub Pull Requests: A feature within GitHub that allows developers to propose changes, review code, and discuss potential modifications.

These tools help maintain code quality and foster collaboration among team members, which is critical when managing a large codebase.

Automation and Scripting Essentials

Automation and scripting play a significant role in managing a monorepo. Scripts can automate repetitive tasks, enforce coding standards, and manage dependencies. Tools like Make, Gradle, and npm scripts are commonly used.

  • Make: A build automation tool that automatically builds executable programs and libraries from source code.

  • Gradle: An open-source build automation tool that is flexible and supports many programming languages.

  • npm Scripts: Simple scripts that can automate tasks like running tests, building projects, and deploying applications.

Using these tools effectively can save time and reduce errors, making the development process more efficient. Automation ensures that tasks are performed consistently and correctly, which is especially important in a monorepo with many contributors and moving parts.

Why Monorepos Might be the Future

Emerging Trends in Software Development

Software development constantly evolves. One trend gaining traction is the shift towards monorepos. This approach aligns with the increasing complexity and scale of modern software projects. As applications grow, managing multiple repositories becomes cumbersome. Monorepos address this by housing all code in a single repository, simplifying management and integration.

Another trend is the rise of microservices architecture. While traditionally managed with multiple repositories, more teams now prefer monorepos. They offer a unified view of all services, making it easier to understand dependencies and interactions. This can streamline development and improve code quality.

Increased Focus on Collaboration and Integration

Collaboration is key in software development. Monorepos foster a collaborative environment by providing a single source of truth. All team members access the same codebase, reducing confusion and miscommunication. This setup encourages shared ownership and collective problem-solving.

Integration also benefits from monorepos. When all code resides in one place, integrating changes across different parts of the application becomes simpler. This reduces the risk of integration issues and ensures smoother deployments. Teams can work more cohesively, leading to faster and more reliable releases.

Continuous Delivery and DevOps Practices

Continuous Delivery (CD) and DevOps practices emphasize automation and reliability. Monorepos align well with these principles. They allow for comprehensive testing and deployment pipelines that cover the entire codebase. This ensures that all changes are thoroughly tested before reaching production.

  • Automated Testing: With a monorepo, you can set up automated tests that run for every commit. This catches issues early and maintains code quality.

  • Unified Deployment: Deploying from a monorepo ensures that all components are deployed together, reducing the risk of version mismatches.

DevOps practices like Infrastructure as Code (IaC) also benefit from monorepos. Storing infrastructure code alongside application code ensures that infrastructure changes are tracked and versioned, just like application changes.

Future-Proofing Your Development Workflow

Future-proofing is about preparing for growth and change. Monorepos offer several advantages in this regard:

  • Scalability: As your codebase grows, a monorepo can scale with it. Tools like Bazel and Lerna help manage large monorepos efficiently.

  • Flexibility: Monorepos support multiple languages and frameworks. This flexibility allows teams to choose the best tools for their needs without worrying about integration issues.

  • Consistency: By centralizing configuration and dependencies, monorepos ensure consistency across the codebase. This makes it easier to adopt new technologies and practices.

Another aspect of future-proofing is onboarding new team members. Monorepos simplify onboarding by providing a single repository to clone and explore. New developers quickly understand the project's structure and dependencies, speeding up their integration into the team.

In summary, monorepos offer compelling advantages that align with modern software development trends. From improving collaboration and integration to supporting DevOps practices and future-proofing workflows, monorepos present a robust solution for managing complex codebases.

Take Control of Your Code Quality

Managing a monorepo is all about streamlining your workflow, and ensuring code quality across multiple projects is a critical part of that. Trunk Code Quality offers the same comprehensive checks as tools like MegaLinter, but with superior speed, enhanced security, and a seamless setup tailored for modern development teams.

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