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, configure per-team severity tuning, and recognize escalation patterns for persistent…
Root cause analysis
By the end of this lesson, you will be able to use the root-cause analysis to diagnose anomalies, read probability rankings, and investigate when the top candidate is wrong.
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, configure the suppression threshold, and recognize when suppression might mask a real…
Module quiz.
Take it once the lessons are done.