Monitor the performance of Cisco AI PODs
Monitor the performance of Cisco AI PODs using built-in experiences.
After you collect data from Cisco AI PODs, the data populates built-in experiences that you can use to monitor and troubleshoot your AI components and applications. The following table describes these built-in experiences and includes links to general instructions on using them.
| Monitoring tool | Use this tool to | Link to documentation |
|---|---|---|
| Built-in navigators | Orient and explore different layers of your AI tech stack. | |
| Built-in dashboards | Assess service, endpoint, and system health at a glance. | |
| Splunk Application Performance Monitoring (APM) service map and trace view | View all of your LLM service dependency graphs and user interactions in the service map or trace view. |
This page describes specific considerations for using built-in experiences to monitor Cisco AI PODs.
Access the built-in dashboard for Cisco AI PODs
Complete the following steps to access the built-in dashboard for Cisco AI PODs.
In the Splunk Observability Cloud main menu, select Dashboards.
In the search bar, search for Cisco AI PODs.
Select AI Pod overview.
The following image displays an example of the built-in dashboard for Cisco AI PODs.
Customize the built-in dashboard for Cisco AI PODs
Splunk Observability Cloud includes a built-in dashboard for Cisco AI PODs, but not all of the tabs on the dashboard may be applicable to all environments.
Complete the following steps to remove tabs from the built-in Cisco AI PODs dashboard.
In the Splunk Observability Cloud main menu, select Dashboards.
In the search bar, search for Cisco AI PODs.
Select AI Pod overview.
Clone the dashboard by selecting the actions menu (...) for the dashboard, then Save as.
Add the required fields and select Save.
To delete a tab, select the actions menu (...) for the dashboard, then Delete.
Next step
To collect data from and monitor other AI components, see Set up Observability for AI.