Rethinking UX for AI-driven Alerting

The article discusses how advanced statistical methods are reshaping the user experience (UX) of alerts in monitoring tools. It explains that nearly all alerts today are defined using four dimensions: scope, metric, threshold(s), and time. However, these constraints have limitations such as static thresholds not adapting to changing conditions, warning thresholds being a crutch, and scope having to be defined upfront. The article then introduces algorithmic alerting methods like forecasting, anomaly detection, and outlier detection that offer more flexibility in tracking thresholds and utilizing time. It also talks about algorithmic feeds that don't require upfront configuration and can watch things not explicitly configured. The author predicts that the future of alerting UX will involve matching patterns to people using supervised algorithmic feeds, making manual definition of alerts unnecessary.