---
sourceDocument: Australia Workflow Data Fabric
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/integrate-applications

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Workflow Data Fabric

ft:clusterId :

    - crint

bundleId :

    - crint

workflow :

    - Creator


---

# Direct Kafka usage metrics

# Direct Kafka usage metrics {#ariaid-title1}

Release version: Australia  
Updated March 12, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
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.
{#direct-kafka-usage-metrics__table_thm_z4r_qhc__entry__2}

| 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. |
[Table 1. Direct Kafka usage metrics table]

{#direct-kafka-usage-metrics__table_thm_z4r_qhc}