Introduction › How to Configure the Metrics Panel to Monitor Storage Group Space Usage › (Optional) Create Your Own Metrics Dashboard

(Optional) Create Your Own Metrics Dashboard

Use this procedure to create your own metrics dashboard to display the critical storage group percent allocated Metrics graph (or multiple Metrics graphs).

Follow these steps:

1. Click the + (My Dashboard) tab in the CA Chorus interface and click Create a Dashboard.
2. Enter a tab name (maximum characters that are allowed are 21). For example, the name of the critical storage group or "Critical SG" (or "Metrics" if you plan to add multiple Metrics graphs to it).
3. Enter a description and click Add Dashboard.

   A new and empty dashboard opens.

4. Click the down-arrow in the bottom right-corner of the % Allo metric and select Add to Dashboard. To add multiple Metrics graphs to this dashboard, repeat this step for each Metric graph you want to add.

   The critical storage group percent allocated Metrics graph displays in the new dashboard.

   Every time that you open the interface and select this new dashboard tab, the critical storage group percent allocated Metrics graph is displayed with the actual used percentage of the storage group, and your threshold lines. If the percentage used is between or above the threshold lines consider releasing idle space, archiving data, or allocating more volumes to the storage group.

5. (Optional) To investigate the Storage Group Statistics object item, click the down arrow in the Metrics graph title bar and click Investigate.

   The Investigator opens and displays the item in the Storage Group Statistics object.

   Note: You cannot perform Administrative Actions in the Storage Group Statistics object. If you want to perform corrective action open the item in the Storage Groups object and perform the action.

   You have configured the Metrics Panel to monitor critical storage group space usage and created a metrics dashboard. You can view the metrics chart that indicates when usage nears or exceeds the maximum defined threshold value. Monitoring this data is important because when you reach the threshold, you must allocate more space to avoid abends.