Metrics that represent errors pose a special problem. Error is often used in a generic sense that could imply something very serious where any non-zero values warrants investigation, e.g., 5xx errors, or, it could represent something that has an acceptable baseline value but where an unusual change could indicate serious problems, e.g., 4xx errors, page faults, [...]The post Leveraging Anomaly Detection to Monitor for Errors appeared first on OpsClarity.