Metrics

KurrentDB connectors expose a variety of metrics to help you monitor the health, performance, and reliability of your system. These metrics are organized by type and can be used to track different aspects of your connectors.

Usage

Time series	Type	Description
kurrent_connector_active_total	Gauge	Current number of active data connectors

Sink

Time series	Type	Description
kurrent_sink_written_total_records	Histogram	Total number of records successfully written to the sink
kurrent_sink_errors_total	Counter	Total number of errors encountered during sink operations
kurrent_sink_transform_duration_milliseconds	Histogram	Duration of data transformation before writing to the sink (in milliseconds)

Consumer

Time series	Type	Description
messaging_kurrent_consumer_message_count_total	Counter	Total number of messages consumed from the messaging system
messaging_kurrent_consumer_commit_latency	Counter	Total latency observed when committing message offsets
messaging_kurrent_consumer_lag	Gauge	Difference between the latest message and the last consumed message

Producer

Time series	Type	Description
messaging_kurrent_producer_queue_length	Gauge	Current number of messages waiting in the producer queue
messaging_kurrent_producer_message_count_total	Counter	Total number of messages successfully produced to the messaging system
messaging_kurrent_producer_produce_duration_milliseconds	Histogram	Time taken to produce messages to the messaging system (in milliseconds)

Processor

Time series	Type	Description
messaging_kurrent_processor_error_count_total	Counter	Total number of errors encountered during message processing