Ai provides an in-depth analysis of Real User Monitoring (RUM) and Session Replay technologies, with a particular focus on optimizing their use for cost-effectiveness and enhanced user experience insights. It begins by evaluating various RUM alternatives to Dynatrace, comparing them on data export capabilities for AI/ML, cost structures, and built-in user frustration detection. The document then examines Dynatrace's own RUM and Session Replay features, detailing how they can be dynamically controlled via APIs for cost optimization and how advanced data analysis techniques (including DQL/USQL and Session Replay) can be leveraged to identify nuanced user frustration patterns. Ultimately, it offers strategic recommendations for selecting RUM solutions and best practices for maximizing their value in improving digital user experiences.