From "The Challenge of Monitoring Containers at Scale"
...."Monitoring systems generally rely on the operator to define ‘normal’. With the rate of change in today’s dynamic environments being driven by auto-scaling and scheduled infrastructures, defining normality becomes a challenge. So far the monitoring community has done a great job of focusing on automating metrics collection and alerting on those predefined thresholds. We now need to focus on algorithmically detecting faults or anomalies and alerting on them"
...."key requirement is anomaly detection. Due to the massive scale nobody can look at all these numbers manually. So monitoring systems have to learn normal behaviour and indicate when system behaviour is not normal any more.
...."Monitoring systems generally rely on the operator to define ‘normal’. With the rate of change in today’s dynamic environments being driven by auto-scaling and scheduled infrastructures, defining normality becomes a challenge. So far the monitoring community has done a great job of focusing on automating metrics collection and alerting on those predefined thresholds. We now need to focus on algorithmically detecting faults or anomalies and alerting on them"
...."key requirement is anomaly detection. Due to the massive scale nobody can look at all these numbers manually. So monitoring systems have to learn normal behaviour and indicate when system behaviour is not normal any more.
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