About Metrics for Oracle Analytics Cloud
You can use charts to monitor key usage and error metrics for Oracle Analytics Cloud. Monitoring these metrics can help you detect anomalies, bottlenecks, and issues with Oracle Analytics Cloud and any data sources that Oracle Analytics Cloud connects to.
Oracle Analytics Cloud offers metrics through the Oracle Cloud Infrastructure Monitoring service. The Oracle Cloud Infrastructure Monitoring service enables you to actively and passively monitor all your cloud resources using the metrics and alarms features. See Monitoring Overview.
Oracle Analytics Cloud Metrics
This table describes the metrics you can monitor for Oracle Analytics Cloud and offers guidance on possible causes and actions to metric trends. You can use the Monitoring service to set up alarms that notify you when these metrics meet certain criteria. For example, you might want to trigger an alarm when query capacity usage reaches 90%. See Managing Alarms.
| Metric Name | Description | Action |
|---|---|---|
| Query Capacity Usage |
The percentage of available query capacity that your Oracle Analytics Cloud instance uses. Query capacity indicates the overall usage of resources required to process analytics workloads. |
If the query usage is consistently high (for example, above 80%), your organization’s usage is consuming a significant amount of resources. This might be due to high concurrent user activity or application design. Review and tune both the size of your deployment and application design. |
| Data Source Connection Errors |
The number of times a connection error occurs when Oracle Analytics Cloud tries to access data sources through a semantic model connection. Self-service connection errors aren't captured at this time. |
Connection errors might occur for several reasons.
Work with the administrators responsible for the network and the data source to investigate further. |