Effortlessly Migrate Large Git Repositories to the Cloud 360

Many IT companies face hurdles when they need to migrate large Git repositories to the cloud. Traditional methods like BCMA or clone-and-push can struggle with massive data volumes and extensive branching structures. This case study explores how Musewerx helped a client overcome these challenges and achieve a smooth cloud migration.

Client Challenge: Limited Server Version Support & Large Git Repository Migration Issues

The client, an IT company, encountered limitations with its on-premises server version, necessitating a cloud migration. However, some repositories posed significant challenges due to their sheer size and complex branch networks. Standard migration tools proved inadequate for these oversized repositories.

Specific Needs & Goals:

• Successfully migrate all repository data, including large files and numerous branches.
• Ensure data integrity during migration.
• Minimize migration time compared to traditional methods.

The Musewerx Solution: Leveraging SSH & Git Bash Commands

To navigate these complexities, Musewerx employed SSH and specific commands within Git Bash terminals for efficient large repository migration. Here's a breakdown of the approach:

• SSH for Large Repositories: SSH offers secure access to remote repositories, enabling efficient transfer of large data volumes.
• Bare and Mirror Commands: Using git clone –bare and git push –mirror commands facilitated efficient structure replication for large repositories in the cloud.
• Object Count Verification: The git count-objects -H command verified complete data migration by comparing object counts between the local and cloud repositories.

These combined tactics provided a robust and efficient solution for migrating even the most extensive repositories.

Quantifiable Results:

The client achieved the following goals through Musewerx's solution:

• Successful migration of all repository data, encompassing large files and abundant branches.
• Expedited migration process compared to traditional methods.
• Assured data integrity throughout the migration.