As Artifactory usage scales, it's crucial to monitor and optimize various system resources to maintain performance stability. Key resources that require attention include Tomcat, HTTP connections, database, Java Virtual Machine (JVM), and storage. Tomcat configuration can be adjusted by increasing the maxThreads and acceptCount attributes to prevent connection refusal errors during high demand. Monitoring HTTP connections is possible through commands like netstat or using exposed MBeans and third-party tools such as JConsole, JavaMelody, and Nagios. For systems utilizing S3 Object Store, adjusting the httpclient.max-connections property in the binary provider settings can prevent connection bottlenecks. Database connection limits should be configured carefully to avoid transaction failures due to pool exhaustion, and tools like netstat or AWS monitoring can aid in tracking database usage. Optimizing JVM memory settings is necessary to prevent sluggish UI and performance issues, and storage performance can be enhanced by utilizing cache-fs or sharding options for scalable filestore management. Ultimately, Artifactory optimization requires tailored adjustments based on monitoring data and stress testing to achieve optimal system performance.