Optimizing storage and performance in JFrog Artifactory involves a mix of configuration management, cleanup policies, and infrastructure tuning. Administrators should enable checksum-based storage to avoid duplicate files and use artifact cleanup rules to remove outdated versions automatically. Implementing repository sharding or splitting large repositories can enhance performance. Using caching and replication helps distribute load across multiple nodes, improving artifact retrieval times. Database optimization, sufficient JVM memory allocation, and SSD-based storage also boost responsiveness. Enabling content delivery networks (CDNs) for remote artifacts further enhances download speeds. Regular monitoring through JFrog Mission Control or Grafana ensures continuous performance tracking and proactive issue resolution.