Base insights
The knowledge graph uses a curated library of rules to analyze incoming time-series data and provide key insights. These insights are organized into the following categories: Saturation, Amend, Anomaly, Failure, and Error, to organize and help you understand their implications for the system. For more information, refer to Insights categories.
In terms of implementation, the knowledge graph operates with two main sets of rules that generate insights: base rules and framework-specific rules. Base rules focus on common request and resource metrics across different platforms and frameworks.
The following table summarizes base insights raised by the base rules.
Metric type | Insight | Category |
---|---|---|
Request | RequestRateAnomaly | Anomaly |
LatencyAverageAnomaly | Anomaly | |
LatencyAverageBreach | Error | |
LatencyP99ErrorBuildup | Error | |
ErrorRatioAnomaly | Anomaly | |
InboundClientErrorAnomaly | Anomaly | |
ErrorRatioBreach | Error | |
ErrorBuildup | Error | |
Logging | LoggerRateAnomaly | Anomaly |
ErrorLogRateBreach | Error | |
Resource | Saturation | Saturation |
ResourceRateAnomaly | Anomaly | |
ResourceRateBreach | Error | |
ResourceMayExhaust | Error |