| copyright |
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|---|---|---|---|
| lastupdated | 2026-06-03 | ||
| keywords | |||
| subcollection | cloud-logs |
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{: #data-usage-analyzer}
In {{site.data.keyword.logs_full_notm}}, you can gain insights into data ingestion volumes by priority in the Data usage > User Data Sent tab. {: shortdesc}
In the User data sent tab, you can:
- Identify high-volume logs and metrics
- Understand data ingestion patterns
{: #data-usage-analyzer-launch}
Complete the following steps:
-
Navigate to your {{site.data.keyword.logs_full_notm}} instance: Observability > Logging > Cloud Logs > Your Service Instance > Open Dashboard.
-
Select the Usage icon
> Data Usage.
The Data Usage page opens.
-
Configure the time selector. You can choose Quick to choose a preset or Custom to set a custom date and time range to view and compare usage across any timeframe.
{: caption="Data Usage time selector" caption-side="bottom"} -
Select the User data sent tab.
{: #data-usage-analyzer-filter}
You can filter data by choosing one or more options in Filtered by:
- Entity Type: Define the type of data. Valid values are:
LogsandMetrics. - Priority: Defines the TCO data pipeline associated with the logs and metrics. Valid values are:
High,Medium,LowandBlocked. - Pillar: Defines the type of telemetry data. Valid values are:
LogsandMetrics.
{: #data-usage-analyzer-agg}
You can aggregate data by choosing one or more options in Group data by:
- Entity Type: Define the type of data. Valid values are:
LogsandMetrics. - Priority: Defines the TCO data pipeline associated with the logs and metrics. Valid values are:
High,Medium,LowandBlocked. - Pillar: Defines the type of telemetry data. Valid values are:
LogsandMetrics.
{: #data-usage-analyzer-data}
You can view information about data ingestion volumes reported in bytes in the following widgets:
- Current usage: Average daily usage in the selected period
- Max daily usage: Highest daily ingested volume
- Min daily usage: Lowest daily ingested volume
- Avg daily usage: Average daily ingested volume
In the Usage breakdown section, you can monitor volumes of ingested data based on the filtering and group by options selected.

