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A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

The GitOps Repository Structure: Monorepo vs. Polyrepo and Best Practices

7 min readJul 10, 2025

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Introduction

GitOps, a transformative paradigm in modern software development, leverages Git as the single source of truth for declarative infrastructure and applications. This approach enhances reliability, transparency, and automation in deployments. A crucial decision in adopting GitOps is how to structure your Git repositories, as this impacts scalability, collaboration, and overall effectiveness. This post will explore the nuances of Monorepo and Polyrepo approaches, their advantages and disadvantages, and essential best practices for organizing your repositories and directories. Understanding these concepts is vital for a successful GitOps journey.

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Monorepo: Centralized Control, Centralized Challenges

A monorepo, in the context of GitOps, is a single Git repository housing all manifests for the entire operational environment, including applications, cluster configurations, and bootstrapping. Every potential cluster, from development to production, resides within this singular repository, offering a unified view of the entire infrastructure.

Advantages of a Monorepo

  1. Centralized Visibility: All configuration changes are in one accessible place, simplifying tracking, review, and understanding of the infrastructure state. This streamlines approvals and fosters a shared understanding.
  2. Simplified Git Workflows: With all code and configurations in one repository, Git workflows are simpler, reducing complexity for managing pull requests and merges. This is appealing for smaller teams or new GitOps adopters.
  3. Easier Cross-Project Refactoring: Updating shared components across multiple applications or environments is simplified. Changes can be made centrally, reducing inconsistencies and facilitating large-scale architectural changes.

Disadvantages of a Monorepo

Despite its initial appeal, the monorepo approach presents significant challenges, especially at scale:

  1. Scalability and Performance Issues: As environments grow, managing a monorepo becomes unwieldy. Large volumes of files and frequent changes lead to severe performance bottlenecks. Git operations become slow, impacting developer productivity and CI/CD pipeline efficiency.
  2. Performance Impact on GitOps Controllers: GitOps tools like Argo CD experience performance degradation with large monorepos. Slower reconciliation times delay detecting and correcting deviations from the desired state, undermining continuous delivery.
  3. Increased Risk: A monorepo is a single point of failure. A minor mistake can have a widespread, cascading impact across the entire infrastructure, potentially causing significant outages or security vulnerabilities. Recovery can be challenging.
  4. Organizational Bottlenecks: Different teams managing distinct parts within the same monorepo can lead to bottlenecks. Changes by one team might affect another, requiring extensive coordination and slowing deployments.

Monorepos offer initial simplicity but are often unsuitable for larger, dynamic organizations due to scalability and performance limitations. They suit startups or small teams but diminish in utility as complexity increases.

Polyrepo: Distributed Flexibility, Distributed Management

A polyrepo environment uses multiple, distinct Git repositories. Each is dedicated to a specific application, service, or organizational boundary. A single Kubernetes cluster can be managed by configurations from various independent repositories. This distributed approach offers greater flexibility, enhanced scalability, and granular control.

Advantages of a Polyrepo

  1. Enhanced Scalability and Performance: Polyrepos are more scalable and resilient. New repositories can be created independently without impacting existing ones, preventing bottlenecks and allowing for organic growth and parallel development.
  2. Clear Separation of Concerns and Team Autonomy: Polyrepos enforce clear separation of concerns. Teams can own and manage their respective repositories with high autonomy, reducing inter-team dependencies and conflicts. This aligns with Conway’s Law, fostering clear ownership and increased team velocity.
  3. Improved GitOps Controller Efficiency: With smaller, focused repositories, GitOps controllers operate more efficiently. They only fetch and process relevant changes, leading to faster reconciliation times and agile deployments, maximizing continuous delivery benefits.
  4. Greater Flexibility in Architectural Design: Polyrepos allow diverse architectural patterns, adapting to complex organizational structures. They support multi-cluster, multi-cloud, or multi-tenant environments, providing a robust foundation for advanced use cases.

Disadvantages of a Polyrepo

While offering significant advantages, polyrepos introduce their own management and coordination challenges:

  1. Increased Management Overhead: Managing numerous distinct Git repositories can be complex. Tracking all repositories, their interdependencies, and ensuring consistent application of best practices requires robust governance, tooling, and disciplined operational practices.
  2. Coordination Challenges Across Repositories: Changes spanning multiple repositories can be challenging. Critical updates might require synchronized updates across several application repositories, necessitating careful communication and complex automated workflows.
  3. Potential for Inconsistency: Without proper automation, rigorous testing, and strong governance, inconsistencies can arise across different repositories, leading to configuration drift and operational issues. Maintaining consistency requires continuous vigilance.

Polyrepos are generally better for larger, complex organizations needing high scalability and clear separation of responsibilities. While demanding more rigorous management, their long-term benefits often outweigh the initial challenges.

Best Practices for GitOps Repository and Directory Structures

Regardless of your chosen approach, these fundamental best practices are crucial for effective GitOps repository and directory structuring, enhancing maintainability, reducing duplication, and ensuring consistency:

1. Don’t Repeat YAML (DRY Principle)

Adapt the “Don’t Repeat Yourself” (DRY) principle to “Don’t Repeat YAML.” Leverage templating and patching tools to manage variations efficiently:

  • Kustomize: A native Kubernetes tool for customizing untemplated YAML files. It uses “bases” and “overlays” to define common elements and environment-specific deltas, reducing duplication and simplifying updates.
  • Helm: The package manager for Kubernetes, providing robust templating. It allows parameterizing YAML manifests with variables dynamically injected at deployment, useful for varying configurations. Helm charts encapsulate reusable Kubernetes resources.

Combining Kustomize and Helm offers maximum flexibility and efficiency.

For example, consider a microservice application where the core deployment and service definitions are managed by a Helm chart. This chart defines common parameters like image name, tag, and resource requests. However, for different environments (development, staging, production), you might need specific overrides — like different replica counts, environment variables, or ingress rules. Instead of creating separate Helm charts or manually editing values files for each environment, you can use Kustomize. You would define a kustomization.yaml for each environment that references the base Helm chart (rendered into plain YAML) and then applies patches or overlays to introduce environment-specific changes. This way, the Helm chart remains clean and reusable for the core application, while Kustomize handles the environmental variations declaratively and efficiently.

2. Separate Your Repositories (Code vs. Configuration)

Maintain a clear separation between application source code and GitOps configuration manifests. This offers profound benefits:

  • Independent Lifecycles: Code and configuration have independent lifecycles, allowing separate evolution, testing, and deployment cycles, reducing overhead and accelerating delivery.
  • Decoupled Approval Processes: Approval processes for code and configuration changes differ. Keeping them separate prevents one from holding back the other, ensuring smoother CI/CD pipelines.
  • Clear Team Responsibilities: This aligns with organizational boundaries. Development teams focus on code, while operations/platform teams manage infrastructure, fostering clear ownership and efficiency.

3. Separate Environments in Directories, Not Branches

Manage environments within different directories or subdirectories within the same repository, especially with Kustomize and Helm. This is more efficient than using separate branches:

  • Avoid Cherry-Picking Headaches and Configuration Drift: Branch-based environment management leads to complex operations and configuration drift. A directory-based approach eliminates this complexity.
  • Leverage Overlays for Clarity: Kustomize’s overlay feature is perfectly suited for this. Define base manifests and create environment-specific directories (overlays) for modifications, keeping differences explicit and auditable.

4. Embrace Trunk-Based Development for Configuration Repositories

Trunk-based development, where all development occurs on a single main branch, is highly recommended for GitOps configuration repositories. This aligns with managing environments in directories and promotes a continuous flow of changes:

  • Simplified Merges and Continuous Integration: Short-lived feature branches merged quickly into the trunk reduce complex merge conflicts, fostering continuous integration and a faster, predictable flow of changes.
  • Clear Audit Trail and Traceability: Every infrastructure change is a direct, linear commit to the trunk, providing a clear, chronological, and immutable history. This simplifies debugging, supports compliance, and offers transparent records.

5. Implement Robust Policies and Security

Securing your Git repositories is paramount, as Git is the single source of truth for your infrastructure. Implement strong governance and leverage advanced security features:

  • Branch Protection Rules: Utilize features like GitHub’s branch protection rules to safeguard your main branch. These prevent direct pushes and force pushes, ensuring changes go through proper review and approval.
  • Minimum Approvals and Code Reviews: Enforce a minimum number of approvals for pull requests, especially for critical changes. Consider approvals from different functional teams for comprehensive oversight.
  • Limited Merge Access and Role-Based Access Control (RBAC): Restrict merge authority to a select few for final control. Implement robust RBAC within your Git provider to enforce these permissions.

Adhering to these best practices builds a robust, scalable, and secure GitOps foundation, streamlining deployments and enhancing operational efficiency, reliability, and compliance.

Conclusion

The choice between a monorepo and a polyrepo for GitOps is a strategic one, dependent on your organization’s size, complexity, team structure, and growth aspirations. Monorepos offer initial simplicity but struggle with scalability; polyrepos provide flexibility but require diligent management.

Regardless of the chosen structure, adhering to fundamental GitOps best practices is paramount for long-term success. Embracing the DRY principle, separating code from configuration, managing environments in directories, adopting trunk-based development, and implementing robust security policies will ensure a smooth, efficient, and secure GitOps journey. By carefully considering these factors and continuously refining your approach, you can harness the full power of GitOps to achieve fully declarative, automated, and reliable software delivery, transforming your operational landscape.

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Google Cloud - Community
Google Cloud - Community

Published in Google Cloud - Community

A collection of technical articles and blogs published or curated by Google Cloud Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

Rahul Kumar Singh
Rahul Kumar Singh

Written by Rahul Kumar Singh

Architect @ EY | Google Developer Expert(GDE) for Google Cloud | Building Secure and Reliable solution for the world | Football Freak

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