Use dashboards to monitor and troubleshoot Microsoft Azure issues in VMware Aria Operations.
To access the dashboards, from the left menu, click Dashboards panel, navigate to .
. From theThe following dashboards are available:
Dashboard Name | Purpose |
---|---|
Availability | View the availability of each Microsoft Azure service. Available services are green. Unavailable services are red and will be removed. |
Inventory | View the adapter instance count in each resource group. Select a resource group to see a sparkline chart and the metrics for all the resources in the group. Select an SQL server in the SQL Server widget and then select an SQL database corresponding to the server in the SQL Database widget to view the inventory for the database.
Note: Metrics that are not collected or created are grayed out.
|
Optimization | View whether you are effectively using Microsoft Azure services. This dashboard collects the CPU usage data in the form of metrics for the last 24 hours and displays forecasting information for the next 24 hours in a rolling view chart. |
Virtual Machine | Select a virtual machine to view its scoreboard, property list, object relationship with resource group, and CPU usage and forecasting. This dashboard collects the CPU usage data in the form of metrics for the last 24 hours and displays forecasting information for the next 24 hours in a rolling view chart. |
SQL Database | Select an SQL server in the SQL Server widget and then select an SQL database corresponding to the server in the SQL Database widget to view the scoreboard, object relationship, and CPU usage for the database. This dashboard collects the CPU usage data in the form of metrics for the last 24 hours and displays forecasting information for the next 24 hours in a rolling view chart. |
Load Balancer | Select a load balancer to view its scoreboard, object relationship, and data path availability. This dashboard collects the CPU usage data in the form of metrics for the last 24 hours and displays forecasting information for the next 24 hours in a rolling view chart. |