Yandex Monitoring metric reference

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Updated at November 6, 2025

This section describes Data Transfer metrics delivered to Monitoring.

The name label contains the metric name.

All Data Transfer metrics share the following labels:

Label	Value
service	ID of the service: `data-transfer`.
job_index	Worker index to distinguish workers used for parallel data copying
src_id	Source ID
target_type	Target type, e.g., `mongo`
resource_id	Transfer or endpoint ID depending on resource type.
resource_type	Type of resource the operation was started or completed on. The possible values are `endpoint` and `transfer`.
dst_id	Target ID
source_type	Source type, e.g., `mongo`
operation_type (except for the `replication.` and `operations.` metrics)	Type of operation either started or completed. The values correspond to possible operations on `resource_type`. For a transfer: `Activate`, `Upload`, `ReUpload`, `Start`, `Restart`, `Stop`, `Verify`, `AddTables`, `RemoveTables`, `Deactivate`, `Checksum`, `Replication`, `Termination`, `TestEndpoint`. For an endpoint: `Create`, `Update`, `Delete`.

CPU metrics

CPU core workload.

Labels shared by all CPU metrics:

Label	Value
component	System component, e.g., `psutil`

Name Type, units	Description
`cpu.counts` `COUNTER`, count	Number of CPUs allocated for data transfer in a worker
`proc.cpu` `DGAUGE`, %	CPU core workload.
`proc.descriptors` `DGAUGE`, count	Number of open file descriptors
`proc.ram` `DGAUGE`, bytes	RAM usage

RAM metrics

Labels shared by all RAM metrics:

Label	Value
component	System component, e.g., `psutil`

Name Type, units	Description
`mem.available` `COUNTER`, bytes	RAM usage, `available` usage type
`mem.percentage` `DGAUGE`, %	Percentage of RAM usage
`mem.used` `COUNTER`, bytes	RAM usage, `used` usage type

Service metrics

Name Type, units	Description Labels
`fallbacks.source.deepness` `DGAUGE`, count	Current number of items in the source-side fallback queue
`fallbacks.source.errors` `COUNTER`, count	Number of source-side fallback errors
`fallbacks.source.items` `COUNTER`, count	Total items added to the source-side fallback queue
`fallbacks.target.deepness` `DGAUGE`, count	Current number of items in the target-side fallback queue
`fallbacks.target.errors` `COUNTER`, count	Number of target-side fallback errors
`fallbacks.target.items` `COUNTER`, count	Total items added to the target-side fallback queue
`logger.bytes_written` `COUNTER`, bytes	Total size of written logs
`logger.field_truncated_size_hist` `IGAUGE`, bytes	Histogram of truncated log fields. This metric features the `bin` label containing histogram buckets.
`logger.leaked_count` `COUNTER`, count	Number of log leaks
`logger.leaked_size` `COUNTER`, bytes	Size of log leaks
`logger.leaked_size_hist` `IGAUGE`, bytes	Histogram of log leaks. This metric features the `bin` label containing histogram buckets.
`logger.success_size_hist` `IGAUGE`, bytes	Histogram of written logs. This metric features the `bin` label containing histogram buckets.
`middleware.error_tracker.failures` `COUNTER`, count	Number of errors in the error tracker. This metric features the `component` label containing a system component, e.g., `middleware_filter`.
`middleware.error_tracker.success` `COUNTER`, count	Number of successful operations in the error tracker This metric features the `component` label containing a system component, e.g., `middleware_filter`.
`middleware.filter.dropped` `COUNTER`, count	Number of dropped items. This metric features the `component` label containing a system component, e.g., `middleware_filter`.
`publisher.consumer.active` `DGAUGE`, count	Number of active consumers (data processing threads)
`publisher.consumer.compress_ratio` `DGAUGE`, %	Data compression ratio during data transfer
`publisher.consumer.ddl_error` `COUNTER`, count	Number of DDL errors
`publisher.consumer.error` `COUNTER`, count	Total errors in consumers
`publisher.consumer.extracted_bytes` `DGAUGE`, bytes	Size of data extracted from the source
`publisher.consumer.fatal` `COUNTER`, count	Number of fatal errors requiring system specialist involvement
`publisher.consumer.log_usage_bytes` `DGAUGE`, bytes	Size of buffer or write ahead log (when supported) in the source
`publisher.consumer.read_bytes` `DGAUGE`, bytes	Size of read data
`publisher.data.bytes` `COUNTER`, bytes	Size of data read from the source
`publisher.data.changeitems` `COUNTER`, count	Number of source events generated for a transfer. Apart from the data to transfer, these events may include housekeeping operations.
`publisher.data.parsed_rows` `COUNTER`, count	Number of rows successfully parsed and processed
`publisher.data.transactions` `COUNTER`, count	Number of data transactions processed during transfer
`publisher.data.unparsed_rows` `COUNTER`, count	Number of data rows that could not be successfully parsed
`publisher.time.delay_ms` `DGAUGE`, milliseconds	Delay during data transfer
`publisher.time.parse_ms` `DGAUGE`, milliseconds	Time spent on data parsing
`publisher.time.push_ms` `DGAUGE`, milliseconds	Time spent sending data to target
`publisher.time.transform_ms` `DGAUGE`, milliseconds	Time spent on data transformation
`replication.running` `DGAUGE`, 0/1	Current replication state. It can take either of these two values: `1`: Launched. `0`: Stopped.
`replication.start.unix` `DGAUGE`, number	Replication start timestamp in Unix epoch format
`runtime.alloc` `COUNTER`, bytes	Memory allocated but not yet released. This metric features the `component` label containing a system component, e.g., `psutil`.
`runtime.heapIdle` `COUNTER`, bytes	Dynamic memory allocation, which is currently idle. This metric features the `component` label containing a system component, e.g., `psutil`.
`runtime.heapInuse` `COUNTER`, bytes	Dynamic memory allocation, which is actively used. This metric features the `component` label containing a system component, e.g., `psutil`.
`runtime.numGC` `COUNTER`, count	Number of garbage collection (GC) cycles since measurement initiation. This metric features the `component` label containing a system component, e.g., `psutil`.
`runtime.sys` `COUNTER`, bytes	Total system memory in use. This metric features the `component` label containing a system component, e.g., `psutil`.
`runtime.totalAlloc` `COUNTER`, bytes	Total memory allocated over the run time. This metric features the `component` label containing a system component, e.g., `psutil`.
`sinker.pusher.data.changeitems` `COUNTER`, count	Number of events written to the target. Apart from the data to transfer, these events may include housekeeping operations.
`sinker.pusher.data.row_events_pushed` `COUNTER`, count	Number of rows sent to the target
`sinker.pusher.time.batch_push_distribution_sec` `IGAUGE`, seconds	Full time it takes to write a batch to the target, including data preprocessing. This metric features the `bin` label containing histogram buckets.
`sinker.pusher.time.row_lag_sec` `IGAUGE`, seconds	Time lag between when the records appear in the target and when they appear in the source. This metric features the `bin` label containing histogram buckets.
`sinker.pusher.time.row_max_lag_sec` `DGAUGE`, seconds	Maximum data lag
`sinker.pusher.time.row_max_read_lag_sec` `DGAUGE`, seconds	Maximum lag between when the data appears in the source and when it is read.
`sinker.table.deleted_rows` `COUNTER`, count	Number of deleted table rows. This metric features the `table` label containing a DB table or collection.
`sinker.table.error` `COUNTER`, count	Number of errors that occurred while processing the table. This metric features the `table` label containing a DB table or collection.
`sinker.table.rows` `COUNTER`, count	50 tables with the maximum number of rows written to the target. This metric features the `table` label containing a DB table or collection.
`sinker.table.updated_rows` `COUNTER`, count	Number of updated table rows. This metric features the `table` label containing a DB table or collection.
`sinker.table.upserted_rows` `COUNTER`, count	Number of inserted or updated (`upsert`) table rows. This metric features the `table` label containing a DB table or collection.
`sinker.time.bulkPrepare` `DGAUGE`, seconds	Time to prepare a data batch for writing
`sinker.time.bulkWrite` `DGAUGE`, seconds	Time to write a data batch
`sinker.time.push` `DGAUGE`, seconds	Total data write time
`sinker.transactions.inflight` `COUNTER`, count	Number of active transactions
`sinker.transactions.total` `COUNTER`, count	Total completed transactions
`storage.diff_perc` `DGAUGE`, %	Percentage difference between the number of source and target records. This metric features the `table` label containing a DB table or collection.
`storage.source_rows` `DGAUGE`, count	Number of data source rows. This metric features the `table` label containing a DB table or collection.
`storage.target_rows` `DGAUGE`, count	Number of data target rows. This metric features the `table` label containing a DB table or collection.
`task.snapshot.remainder.table` `DGAUGE`, count	Number of rows awaiting transfer. This metric features the `table` label containing a DB table or collection.
`task.snapshot.reminder.total` `DGAUGE`, count	Total remaining rows to transfer. This metric features the `table` label containing a DB table or collection.
`task.status` `DGAUGE`, 0/1	Status of the operation in progress. The possible values include: `1`: Active issue. `0`: Inactive issue.

Yandex Monitoring metric reference

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