Sensors

Cruise Control uses dropwizzard metrics to report its own status.

Currently the following metrics are provided. They are useful to monitor the state of Cruise Control itself. We will add more sensors in the future.

DESCRIPTIONS	MBEAN NAME
Broker failure rate	kafka.cruisecontrol:name=AnomalyDetector.broker-failure-rate
Goal violation rate	kafka.cruisecontrol:name=AnomalyDetector.goal-violation-rate
Proposal computation time in ms	kafka.cruisecontrol:name=GoalOptimizer.proposal-computation-timer
Cluster model creation time in ms	kafka.cruisecontrol:name=LoadMonitor.cluster-model-creation-timer
The monitored partition percentage	kafka.cruisecontrol:name=LoadMonitor.monitored-partitions-percentage
The number of partitions that is valid but require imputation	kafka.cruisecontrol:name=LoadMonitor.num-partitions-with-flaw
The number of snapshot windows that is monitored	kafka.cruisecontrol:name=LoadMonitor.total-monitored-snapshot-windows
The rate of partition metric sample fetch failures	kafka.cruisecontrol:name=MetricFetcherManager.partition-samples-fetcher-failure-rate
The time taken by each round of partition sample fetch	kafka.cruisecontrol:name=MetricFetcherManager.partition-samples-fetcher-timer
The rate of training sample fetch failures	kafka.cruisecontrol:name=MetricFetcherManager.training-samples-fetcher-failure-rate
The time taken by each training sample fetch	kafka.cruisecontrol:name=MetricFetcherManager.training-samples-fetcher-timer