Performance Optimization

Optimize your instance to handle large codebases and high-frequency scan volumes.

1. Resource Allocation Matrix

Adjust your hardware and JVM settings based on your total Lines of Code (LoC).

Total LoC	Min RAM	RISK_XMX (Analysis)	ANALYSER_XMX (Engine)
< 500k	16 GB	-Xmx2g	-Xmx8g
500k - 2M	32 GB	-Xmx4g	-Xmx16g
2M+	64 GB+	-Xmx8g	-Xmx32g

2. Applying Memory Settings

Modify these values in your docker-compose.yml or docker run command to prevent OutOfMemory errors during deep scans.

# Docker Run Example
-e RISK_XMX=-Xmx4g \
-e ANALYSER_XMX=-Xmx16g

3. Database Optimization

For instances with 100+ repositories:

• SSD Storage: Ensure PostgreSQL data volumes are mounted on high-speed SSDs.
• Connection Pooling: For external DBs, ensure max_connections is set to at least 200.

4. Maintenance

• Log Rotation: Periodically clear the gamma_data/logs directory to save disk I/O.
• Snapshot Cleanup: Use the Admin > Cleanup settings to remove old snapshots of deleted branches.