The text discusses the enhancement of Real User Monitoring (RUM) with the use of formulas and functions to create more informative and actionable alerts. It highlights how traditional RUM monitors rely on static thresholds for metrics like page load times, which may not adequately capture user experience or application performance. By employing formulas and functions, users can generate alerts based on ratios, percentages, and comparisons to past data, providing deeper insights into user behavior and application functionality. Examples include tracking error rates as a percentage of total views and comparing current performance metrics with historical data to detect anomalies. This method reduces alert fatigue and provides a clearer understanding of significant changes impacting application performance. The text also mentions that further details on implementing these techniques are available in the documentation, and encourages trying Datadog's services with a free trial.