Direct Kafka usage metrics
reference brazil Updated Sep 10, 2026 1 min read direct-kafka-usage-metrics.md
Direct Kafka Usage metrics table provides administrators with visibility into data usage between your instance and Direct Kafka systems. This read-only table tracks usage metrics on an hourly, daily, and monthly basis. Usage records are automatically retained for 13 months, with a scheduled cleaner job removing records older than this threshold on a monthly basis.
| Column | Description |
|---|---|
| Kafka Cluster | The name of the Kafka cluster being monitored. |
| Megabytes Per Hour | The amount of data transferred, measured in megabytes per hour. |
| Metric Name | The type of metric being tracked. Values: BytesProduced, BytesConsumed |
| Period Start | The timestamp indicating when the measurement period begins. |
| Roll Up Type | The aggregation level for the metric. Values: HOURLY, DAILY, MONTHLY |
| Topic | The specific Kafka topic associated with the usage metric. |
Parent Topic:Integration Hub reference
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--- title: Direct Kafka usage metrics description: Direct Kafka Usage metrics table provides administrators with visibility into data usage between your instance and Direct Kafka systems. This read-only table tracks usage metrics on an hourly, daily, and monthly basis. Usage records are automatically retained for 13 months, with a scheduled cleaner job removing records older than this threshold on a monthly basis. locale: en-US canonical_url: https://www.servicenow.com/docs/r/integrate-applications/integration-hub/direct-kafka-usage-metrics.html release: brazil product: Integration Hub classification: integration-hub topic_type: reference last_updated: "2026-09-10" reading_time_minutes: 1 breadcrumb: [Reference, Integration Hub, Workflow Data Fabric] --- # Direct Kafka usage metrics Direct Kafka Usage metrics table provides administrators with visibility into data usage between your instance and Direct Kafka systems. This read-only table tracks usage metrics on an hourly, daily, and monthly basis. Usage records are automatically retained for 13 months, with a scheduled cleaner job removing records older than this threshold on a monthly basis. |Column|Description| |------|-----------| |Kafka Cluster|The name of the Kafka cluster being monitored.| |Megabytes Per Hour|The amount of data transferred, measured in megabytes per hour.| |Metric Name|The type of metric being tracked. Values: BytesProduced, BytesConsumed| |Period Start|The timestamp indicating when the measurement period begins.| |Roll Up Type|The aggregation level for the metric. Values: HOURLY, DAILY, MONTHLY| |Topic|The specific Kafka topic associated with the usage metric.| **Parent Topic:**[Integration Hub reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/integrate-applications/integration-hub/integration-hub-reference.md)
| title | Direct Kafka usage metrics |
| description | Direct Kafka Usage metrics table provides administrators with visibility into data usage between your instance and Direct Kafka systems. This read-only table tracks usage metrics on an hourly, daily, and monthly basis. Usage records are automatically retained for 13 months, with a scheduled cleaner job removing records older than this threshold on a monthly basis. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/integrate-applications/integration-hub/direct-kafka-usage-metrics.html |
| release | brazil |
| product | Integration Hub |
| classification | integration-hub |
| topic_type | reference |
| last_updated | 2026-09-10 |
| reading_time_minutes | 1 |
| breadcrumb | ReferenceIntegration HubWorkflow Data Fabric |