Cost anomaly detection
Spot a cost spike, work out what caused it, and act on it, across all seven levels the system watches.
5 lessons. 1 quiz.
Read in order, or jump to what you need.
The seven dimensions
By the end of this lesson, you will be able to pick the right dimension for an anomaly investigation, cascade from broad to narrow, and recognize the noise-reduction patterns.
Percent deviation vs z-score
By the end of this lesson, you will be able to distinguish the two anomaly detection methods, understand when each fires, and predict which method will trigger first for a given workload pattern.
Severity bands
By the end of this lesson, you will be able to map each anomaly severity to the right operational response, use notification subscriptions to control who hears each severity, and follow up on anomalies that persist.
Root cause analysis
By the end of this lesson, you will be able to read the root-cause note on an anomaly, verify each cause it names, and investigate further when the note falls back to a generic message.
Team redistribution suppression
By the end of this lesson, you will be able to explain why a cost shift between teams doesn't fire an anomaly, explain why the 20% threshold is fixed, and recognize when suppression might mask a real issue.
Module quiz.
Take it once the lessons are done.