confluent_cloud.kafka.received_bytes
(count) | The delta count of bytes received from the network. Each sample is the number of bytes received since the previous data sample. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.kafka.sent_bytes
(count) | The delta count of bytes sent over the network. Each sample is the number of bytes sent since the previous data point. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.kafka.received_records
(count) | The delta count of records received. Each sample is the number of records received since the previous data sample. The count is sampled every 60 seconds.
Shown as record |
confluent_cloud.kafka.sent_records
(count) | The delta count of records sent. Each sample is the number of records sent since the previous data point. The count is sampled every 60 seconds.
Shown as record |
confluent_cloud.kafka.retained_bytes
(gauge) | The current count of bytes retained by the cluster. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.kafka.active_connection_count
(gauge) | The count of active authenticated connections.
Shown as connection |
confluent_cloud.kafka.request_count
(count) | The delta count of requests received over the network. Each sample is the number of requests received since the previous data point. The count is sampled every 60 seconds.
Shown as request |
confluent_cloud.kafka.partition_count
(gauge) | The number of partitions. |
confluent_cloud.kafka.successful_authentication_count
(count) | The delta count of successful authentications. Each sample is the number of successful authentications since the previous data point. The count is sampled every 60 seconds.
Shown as attempt |
confluent_cloud.kafka.cluster_link_destination_response_bytes
(count) | The delta count of cluster linking response bytes from all request types. Each sample is the number of bytes sent since the previous data point. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.kafka.cluster_link_source_response_bytes
(count) | The delta count of cluster linking source response bytes from all request types. Each sample is the number of bytes sent since the previous data point. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.kafka.cluster_active_link_count
(gauge) | The current count of active cluster links. The count is sampled every 60 seconds. The implicit time aggregation for this metric is MAX. |
confluent_cloud.kafka.cluster_load_percent
(gauge) | A measure of the utilization of the cluster. The value is between 0.0 and 1.0.
Shown as percent |
confluent_cloud.kafka.cluster_load_percent_max
(gauge) | A measure of the maximum broker utilization across the cluster. The value is between 0.0 and 1.0.
Shown as percent |
confluent_cloud.kafka.cluster_load_percent_avg
(gauge) | A measure of the average utilization across the cluster. The value is between 0.0 and 1.0.
Shown as percent |
confluent_cloud.kafka.consumer_lag_offsets
(gauge) | The lag between a group member's committed offset and the partition's high watermark. Tagged with consumer_group_id and topic. |
confluent_cloud.kafka.cluster_link_count
(gauge) | The current count of cluster links. The count is sampled every 60 seconds. The implicit time aggregation for this metric is MAX. |
confluent_cloud.kafka.cluster_link_task_count
(gauge) | The current count of cluster links tasks. The count is sampled every 60 seconds. The implicit time aggregation for this metric is MAX. |
confluent_cloud.kafka.cluster_link_mirror_transition_in_error
(gauge) | The cluster linking mirror topic state transition error count for a link. The count is sampled every 60 seconds. |
confluent_cloud.kafka.cluster_link_mirror_topic_bytes
(count) | The delta count of cluster linking mirror topic bytes. The count is sampled every 60 seconds. |
confluent_cloud.kafka.cluster_link_mirror_topic_count
(gauge) | The cluster linking mirror topic count for a link. The count is sampled every 60 seconds. |
confluent_cloud.kafka.cluster_link_mirror_topic_offset_lag
(gauge) | TThe cluster linking mirror topic offset lag maximum across all partitions. The lag is sampled every 60 seconds. |
confluent_cloud.kafka.request_bytes
(gauge) | The delta count of total request bytes from the specified request types sent over the network. Each sample is the number of bytes sent since the previous data point. The count is sampled every 60 seconds. |
confluent_cloud.kafka.response_bytes
(gauge) | The delta count of total response bytes from the specified response types sent over the network. Each sample is the number of bytes sent since the previous data point. The count is sampled every 60 seconds. |
confluent_cloud.kafka.rest_produce_request_bytes
(count) | The delta count of total request bytes from Kafka REST produce calls sent over the network requested by Kafka REST. |
confluent_cloud.kafka.dedicated_cku_count
(count) | CKU count of a dedicated cluster |
confluent_cloud.kafka.producer_latency_avg_milliseconds
(gauge) | The average latency of client producer request.
Shown as millisecond |
confluent_cloud.connect.sent_records
(count) | The delta count of total number of records sent from the transformations and written to Kafka for the source connector. Each sample is the number of records sent since the previous data point. The count is sampled every 60 seconds.
Shown as record |
confluent_cloud.connect.received_records
(count) | The delta count of total number of records received by the sink connector. Each sample is the number of records received since the previous data point. The count is sampled every 60 seconds.
Shown as record |
confluent_cloud.connect.sent_bytes
(count) | The delta count of total bytes sent from the transformations and written to Kafka for the source connector. Each sample is the number of bytes sent since the previous data point. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.connect.received_bytes
(count) | The delta count of total bytes received by the sink connector. Each sample is the number of bytes received since the previous data point. The count is sampled every 60 seconds.
Shown as byte |
confluent_cloud.connect.dead_letter_queue_records
(count) | The delta count of dead letter queue records written to Kafka for the sink connector. The count is sampled every 60 seconds.
Shown as record |
confluent_cloud.connect.connector_status
(count) | This metric monitors the status of a connector within the system. Its value is always set to 1 which signifies connector presence. The current operational state of the connector is identified through the status tag.
Shown as record |
confluent_cloud.connect.sql_server_cdc_source_connector_snapshot_running
(gauge) | It represents whether the Snapshot is running. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.sql_server_cdc_source_connector_snapshot_completed
(gauge) | It represents whether the Snapshot is completed. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.sql_server_cdc_source_connector_schema_history_status
(gauge) | It represents the status of the schema history of the connector. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.mysql_cdc_source_connector_snapshot_running
(gauge) | It represents whether the Snapshot is running. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.mysql_cdc_source_connector_snapshot_completed
(gauge) | It represents whether the Snapshot is completed. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.mysql_cdc_source_connector_schema_history_status
(gauge) | It represents the status of the schema history of the connector. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.postgres_cdc_source_connector_snapshot_running
(gauge) | It represents whether the Snapshot is running. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.postgres_cdc_source_connector_snapshot_completed
(gauge) | It represents whether the Snapshot is completed. The values will incorporate any differences between the clocks on the machines where the database server and the connector are running. |
confluent_cloud.connect.connector_task_status
(gauge) | Monitors the status of a connector's task within the system. Its value is always set to 1 signifying the connector task's presence. |
confluent_cloud.connect.connector_task_batch_size_avg
(gauge) | Monitors the average batch size (measured by record count) per minute. For a source connector it indicates the average batch size sent to Kafka.
Shown as percent |
confluent_cloud.connect.connector_task_batch_size_max
(gauge) | Monitors the maximum batch size (measured by record count) per minute. For a source connector it indicates the max batch size sent to Kafka.
Shown as percent |
confluent_cloud.ksql.streaming_unit_count
(gauge) | The count of Confluent Streaming Units (CSUs) for this KSQL instance. The count is sampled every 60 seconds. The implicit time aggregation for this metric is MAX.
Shown as unit |
confluent_cloud.ksql.query_saturation
(gauge) | The maximum saturation for a given ksqlDB query across all nodes. Returns a value between 0 and 1. A value close to 1 indicates that ksqlDB query processing is bottlenecked on available resources. |
confluent_cloud.ksql.task_stored_bytes
(gauge) | The size of a given task's state stores in bytes.
Shown as byte |
confluent_cloud.ksql.storage_utilization
(gauge) | The total storage utilization for a given ksqlDB application. |
confluent_cloud.schema_registry.schema_count
(gauge) | The number of registered schemas. |
confluent_cloud.schema_registry.request_count
(count) | The delta count of requests received by the schema registry server. Each sample is the number of requests received since the previous data point. The count sampled every 60 seconds. |
confluent_cloud.schema_registry.schema_operations_count
(count) | The delta count of schema related operations. Each sample is the number of requests received since the previous data point. The count sampled every 60 seconds. |
confluent_cloud.flink.num_records_in
(count) | Total number of records all Flink SQL statements leveraging a Flink compute pool have received. |
confluent_cloud.flink.num_records_out
(count) | Total number of records all Flink SQL statements leveraging a Flink compute pool have emitted. |
confluent_cloud.flink.pending_records
(gauge) | Total backlog of all Flink SQL statements leveraging a Flink compute pool. |
confluent_cloud.flink.compute_pool_utilization.current_cfus
(gauge) | The absolute number of CFUs at a given moment. |
confluent_cloud.flink.compute_pool_utilization.cfu_minutes_consumed
(count) | The number of how many CFUs consumed since the last measurement. |
confluent_cloud.flink.compute_pool_utilization.cfu_limit
(gauge) | The possible max number of CFUs for the pool. |
confluent_cloud.flink.current_input_watermark_ms
(gauge) | The last watermark this statement has received (in milliseconds) for the given table. |
confluent_cloud.flink.current_output_watermark_ms
(gauge) | The last watermark this statement has produced (in milliseconds) to the given table. |
confluent_cloud.custom.kafka.consumer_lag_offsets
(gauge) | The lag between a group member's committed offset and the partition's high watermark. Tagged with consumer_group_id, topic, partition, consumer_group_id and client_id. |
