Administrators face challenges in troubleshooting ongoing events within JFrog Artifactory, and as environments scale, efficient log analysis becomes crucial. The ELK Stack (Elasticsearch, Logstash, and Kibana) offers a robust solution for analyzing JFrog Support Bundle logs, with Kibana providing intuitive charts and reports that facilitate interactive navigation through large datasets. The example outlined uses Docker to run ELK, enabling the analysis of Support Bundles based on predefined filters. Logstash is used to ingest, transform, and send log data to Elasticsearch, while Filebeat forwards logs to Kibana for visualization. Customized dashboards and filters in Kibana help identify issues such as potential misuse or performance bottlenecks by displaying relevant data like HTTP status codes and user activities. This approach streamlines the troubleshooting process, making it more efficient than manual log tailing. Integration with ELK allows for advanced filtering and visualization, aiding in the identification of problematic queries or errors. The blog encourages exploring Elastic's documentation for further integration between Artifactory and ELK.