The pattern is simple. Collect metrics, filter, apply rules, alert. The problem is, people try to put all of those pieces into a single product. This sometim

The pattern is simple. Collect metrics, filter, apply rules, alert. The problem is, people try to put all of those pieces into a single product. This sometimes works, other times not. "Filter" and "apply rules" is the real work, and it's rather intractable. Some products embed a DSL to attempt to empower users to create these bits themselves. Presumably the "AI" could write the filters and rules by "training" on some data. The AI can't automatically deduce the dimensions of your data like 'consider the time and day of this request' without instruction from the human. It can't conceptualize 'is a holiday/is not a holiday' without input from a human. At the end of the day, just collect the metrics and write a small application with whatever alerting rules you want. This might not scale, but it might not need to.