Managing Scanner Resource Consumption

Managing Scanner Resource Consumption

Resource allocation requires balancing scanner needs with overall infrastructure capacity. Implement resource quotas preventing security scans from monopolizing CI/CD infrastructure. Use container resource limits for memory and CPU, ensuring scans fail cleanly rather than destabilizing systems. Design queuing systems that schedule scans during low-utilization periods, maximizing resource usage without impacting critical builds.

Database optimization becomes critical for tools storing historical scan results. Vulnerability databases grow continuously, potentially containing millions of entries. Implement data retention policies archiving old results while maintaining trend visibility. Use appropriate indexes for common queries. Consider time-series databases for metrics storage, providing better performance for temporal queries than traditional relational databases.

Network bandwidth management prevents scanners from saturating connections. Dependency scanners might download gigabytes of package data during analysis. Container scanners pull large images for inspection. Implement local caching proxies for frequently accessed resources. Configure bandwidth limits preventing scans from impacting other network services. Consider geographic distribution placing scanners near analyzed resources.

Storage optimization addresses the accumulation of scan artifacts, logs, and cached data. Implement lifecycle policies automatically removing old scan results after retention periods. Compress logs and artifacts reducing storage requirements. Use deduplication for container image layers and dependency caches. Monitor storage growth trends and capacity plan accordingly.