Cluster Compliance with Biotope¶
Biotope supports robust cluster compliance workflows for institutional and collaborative environments. This page explains how to enforce, check, and monitor metadata validation policies across multiple projects, especially in shared or high-performance computing (HPC) clusters.
Overview¶
Cluster compliance ensures that all biotope projects on a cluster adhere to organization-wide metadata requirements. This is critical for:
- Data integrity and reproducibility
- Institutional policy enforcement
- Automated project onboarding and review
- Long-term storage and archival
Biotope enables compliance through:
- Validation patterns: Project-level configuration for required metadata fields
- Remote validation: Centralized, cluster-wide validation policies
- Compliance checking: Automated tools for admins to scan and report on project compliance
Admin Workflow: Enforcing Compliance¶
- Define Cluster Requirements
- Create a requirements file (e.g.,
cluster-requirements.json
) with required fields and patterns. - Example:
- Set Up Remote Validation
- Deploy a remote validation server (see examples/remote-validation-server.py).
- Provide users with the remote validation URL.
- Automate Compliance Checking
- Use the cluster compliance checker to scan all projects:
- Integrate with cron or CI/CD for regular monitoring.
- Monitor and Alert
- Track compliance rates and alert administrators if compliance drops below a threshold.
User Workflow: Ensuring Project Compliance¶
- Initialize your project
- Set the cluster validation pattern
- Configure remote validation
- Check your configuration
- Annotate and validate your data
- Use
biotope annotate
andbiotope status
to ensure all required fields are present.
Example Compliance Report¶
================================================================================
BIOTOPE CLUSTER COMPLIANCE REPORT
================================================================================
SUMMARY:
Total projects: 25
Compliant projects: 18
Using default pattern: 5
Errors: 2
Compliance rate: 72.0%
DETAILED REPORT:
--------------------------------------------------------------------------------
Project: /cluster/projects/user1/experiment
Pattern: cluster-strict
Status: cluster_compliant
Remote validation: https://cluster.example.com/validation/cluster-strict
Required fields: name, description, creator, dateCreated, distribution, license, project_id
**✅ COMPLIANT**
Project: /cluster/projects/user2/data
Pattern: default
Status: default_pattern
Required fields: name, description, creator, dateCreated, distribution
**❌ NON-COMPLIANT**
- Wrong validation pattern: default (required: cluster-strict)
- Missing required fields: license, project_id
- Remote validation not configured
================================================================================
RECOMMENDATIONS:
- 5 projects are using default validation pattern
Consider configuring cluster-specific validation for these projects
- 2 projects have configuration errors
Review these projects and fix configuration issues
- 7 projects are non-compliant
Contact project owners to update validation configuration
Integration with Cluster Management¶
- Automated Checks: Integrate compliance checking into cron jobs or CI/CD pipelines.
- User Onboarding: Provide setup instructions for new users (see above).
- Monitoring: Use scripts to monitor compliance rates and send alerts.
Best Practices¶
For Cluster Administrators¶
- Define clear requirements and validation patterns
- Automate compliance checking and reporting
- Provide clear documentation and onboarding for users
- Monitor compliance trends and support users
For Users¶
- Set the correct validation pattern for your project
- Use remote validation if required
- Regularly check your compliance status
- Seek help from administrators if needed
For Developers¶
- Extend validation patterns for new use cases
- Test compliance workflows with different configurations
- Document new patterns and requirements