Now that we've seen the default bucket-level alert that you get automatically by using the ML UI in Kibana, let's look at a more complex watch that was created manually to solve a more interesting use case.
In this example, there is a desire to alert when a certain ML job has an elevated anomaly score at the bucket level, but it will only notify us (invoke the action clause) if there are also anomalies in two other supporting ML jobs within a 10 minute window (looking backwards in time). The main premise here is that the first job is an analysis of some important KPI that's worthy of Alerting upon, but only if there's supporting evidence of things that may have caused the KPI to deviate, some supporting, corroborating anomalies from other datasets analyzed in other ML jobs. If this is true, then give the user an alert that has...