| 摘要 |
A system can correlate derived metrics for system activity to determine problems and recommend solutions. Using a hierarchy of derived metrics from a set of raw metrics, a system can identify a problem, correlate related metrics and determine a recommended solution. For example, raw metrics can be collected about computing resources. Analyzers can process the raw metrics and outputs from other analyzers to gather metrics that include metrics derived from other metrics. When a problem symptom is discovered, derived metrics (and other metrics) can be correlated with the symptom to help identify the problem. Using the correlated metrics, a system can recommend a solution to an identified problem. |
