Anomaly detection using dynamic thresholds and two-year-long alerts in Cloud Monitoring
Choosing the threshold of an alert policy can be a headache. You have to analyze historical data, aggregate it into semantically meaningful time series, and choose a threshold that matters. If the workload grows, your previously set static threshold might become too low, and your alert might fire too frequently. New workloads might require setting new thresholds, and setting separate thresholds for separate workloads requires creating separate policies, resulting in the annoyance of managing a f


