Optimizing storage and performance in JFrog Artifactory is crucial for maintaining efficiency, scalability, and reliability in large enterprise environments. Begin by designing a well-structured repository layout, separating local, remote, and virtual repositories to reduce redundancy and improve artifact retrieval speeds. Implement artifact cleanup and retention policies to automatically remove unused or outdated binaries, freeing up disk space and minimizing index size. Using binary providers like AWS S3 or Google Cloud Storage can offload storage from local disks and enhance scalability. Enable checksum-based storage to avoid duplicate artifacts and reduce space consumption. For performance, allocate sufficient system memory, configure database tuning, and enable reverse proxy caching through Nginx or Apache. Additionally, leverage replication and load balancing for distributed teams and integrate JFrog Mission Control for monitoring and analytics. Regular maintenance, log cleanup, and version upgrades further ensure Artifactory runs at peak performance.