Bring the power of Git to your network data management with structured, reliable workflows
The Version Control app extends Nautobot with Git-like capabilities for managing network state. Teams can safely stage changes, review diffs, and merge updates into production reducing risk and streamlining automation. By introducing branching, commits, and pull requests directly into the source of truth, organizations gain control, visibility, and confidence in every change.
Modern network automation depends on accurate, trusted data. Yet most teams still modify their source of truth directly in production, without structured review or validation.
This creates real operational risk:
Traditional tools solve configuration drift at the device level, but they rarely address data lifecycle management inside the system of record. Even when processes exist, they are often manual, inconsistent, or disconnected from the platform itself.
Bottom line:
Without version control for network data, teams are forced to choose between speed and safety.
With Version Control in place, network teams move from reactive, error-prone data management to structured, reliable workflows.
Operations become:
Key Benefits:
The Version Control app introduces a complete, Git-inspired workflow directly into Nautobot, empowering teams to manage network data changes with precision and confidence.
All changes occur within an isolated branch, allowing teams to safely stage and test updates without impacting production.
This ensures production data remains stable while changes are prepared.
Every data modification automatically generates a commit, creating a detailed and auditable history.
This provides a true audit trail for network data, not just device configurations.
Before merging changes, teams can inspect exactly what is being modified.
This enables precise validation before changes reach production.
Structured pull request workflows ensure changes are reviewed and approved before merging.
This aligns network data management with modern DevOps practices.
The app automatically identifies conflicts during merge attempts.
This reduces the risk of introducing invalid or conflicting data.
Changes can be reversed without losing historical context.
This provides a reliable safety net for data operations.
Teams can view the state of the network data at a specific point in time.
This adds a powerful dimension for analysis and compliance.
Version control workflows are fully accessible and programmable via REST APIs.
This ensures the app fits seamlessly into modern NetDevOps environments.
Ready to bring structure, safety, and visibility to your network data?
This app applies version control directly to Nautobot’s data models, not device configurations. It governs the source of truth that automation depends on.
No. It complements them by ensuring the data driving automation is accurate, reviewed, and controlled before deployment.
Yes. By using branches and pull requests, teams can enforce that all changes are staged and reviewed before merging into main.
Conflicts are automatically detected during merge attempts and must be resolved before changes can be applied.
Yes. Individual or multiple commits can be reverted while preserving a complete audit history.
Diffs provide object-level and field-level visibility, including adds, updates, and deletions.
Yes. Pull requests can integrate with Nautobot approval workflows to require review and approval before merging.
Yes. Branch selection, time travel, and other operations are available via REST API endpoints.
Time travel allows you to view historical states of your network data for troubleshooting, auditing, or validation.
Automation engineers, network operators, and platform teams who need safe, structured workflows for managing network data.
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