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Overview

This document lists some of the metrics available from Observability Pipelines. You can:

  • Create your own dashboards, notebooks, and monitors with these metrics.
  • Use Metrics Summary to see metadata and tags available for the metrics. You can also see which dashboards, notebooks, monitors, and SLOs are using those metrics.

See Getting Started with Tags for more information on how to use tags to group metrics by specific pipelines, Workers, and components.

Estimated usage metric

Observability Pipelines ingested bytes
Metric: datadog.estimated_usage.observability_pipelines.ingested_bytes
Description: The volume of data ingested by Observability Pipelines. See Estimated Usage Metrics for more information.

Pipeline metrics

Bytes in per second
Metrics: pipelines.host.network_receive_bytes_total
Description: The number of events the pipeline receives per second.
Bytes out per second
Metrics: pipelines.host.network_receive_bytes_total
Description: The number of bytes the pipeline receives per second.

Component metrics

These metrics are available for sources, processors, and destinations.

Bytes in per second
Metric: pipelines.component_received_bytes_total
Description: The number of bytes the component receives per second.
Available for: Sources, processors, and destinations.
Bytes out per second
Metric: pipelines.component_sent_event_bytes_total
Description: The number of bytes the component sends to the destinations.
Available for: Sources, processors, and destinations.
Events in per second
Metric: pipelines.component_received_event_bytes_total
Description: The number of events the component receives per second.
Available for: Sources, processors, and destinations.
Events out per second
Metric: pipelines.component_sent_event_bytes_total
Description: The number of events the component sends to the destinations.
Available for: Sources, processors, and destinations.
Errors
Metric: pipelines.component_errors_total
Description: The number of errors encountered by the component.
Available for: Sources, processors, and destinations.
Data dropped intentionally or unintentionally
Metric: pipelines.component_discarded_events_total
Description: The number of events dropped. Note: To break down this metric, use the intentional:true tag to filter for events that are intentionally dropped or the intentional:false tag for events that are not intentionally dropped.
Available for: Sources, processors, and destinations.
Utilization
Metric: pipelines.utilization
Description: The component’s activity. A value of 0 indicates an idle component that is waiting for input. A value of 1 indicates a component that is never idle, which means that the component is likely a bottleneck in the processing topology that is creating backpressure, which might cause events to be dropped.
Available for: Processors and destinations.

Further reading