What This Workflow Does
This Docker registry cleanup workflow solves the growing problem of container image sprawl in development environments. As teams continuously build and push new Docker images, registry storage becomes cluttered with outdated versions that consume valuable resources and slow down operations.
The template automates the tedious process of identifying and removing obsolete images while preserving essential versions. It performs intelligent garbage collection based on customizable retention rules, ensuring your registry maintains optimal performance without manual maintenance.
How It Works
1. Registry Connection
The workflow begins by authenticating with your Docker registry using secure credentials. It establishes a connection to scan your repository for available images and tags.
2. Image Analysis
The system analyzes each image's metadata, including creation dates, tag relationships, and usage patterns. It applies your configured retention policies to determine which images are candidates for removal.
3. Safe Deletion Process
Before deleting anything, the workflow performs safety checks to ensure no active deployments reference the images. It then systematically removes outdated versions while logging all actions for audit purposes.
4. Garbage Collection
After cleanup, the workflow triggers Docker's built-in garbage collection to reclaim disk space. This final step ensures storage efficiency improvements are fully realized.
Who This Is For
This workflow benefits DevOps teams, platform engineers, and development leads managing containerized applications. It's particularly valuable for:
- Teams with frequent CI/CD pipelines generating many image versions
- Organizations paying for cloud-based registry storage
- Companies needing to maintain compliance with data retention policies
- Teams wanting to automate infrastructure maintenance tasks
What You'll Need
- Access to a Docker registry (self-hosted or cloud provider)
- Admin credentials with appropriate permissions
- n8n instance set up and running
- Basic understanding of Docker image tagging strategies
Quick Setup Guide
- Download and import the JSON template into your n8n instance
- Configure your Docker registry connection details
- Set your retention policies (e.g., keep images newer than 30 days)
- Test with dry-run mode enabled to verify behavior
- Schedule the workflow to run automatically
Pro tip: Start with conservative retention policies and gradually adjust based on your team's needs. Monitor storage savings over time to validate the impact.
Key Benefits
Reduce storage costs by up to 80%: Many teams find they're storing hundreds of obsolete images that can be safely removed.
Save 5+ hours monthly on manual cleanup: Automating this repetitive task frees up valuable engineering time.
Improve deployment reliability: Cleaner registries mean faster image pulls and fewer storage-related failures.
Enforce consistent policies: Automated rules ensure all teams follow the same retention standards.
Gain visibility into image usage: The workflow generates reports showing exactly what was cleaned and why.