Viewing the Cluster Health Monitor

You must be an Admin, Maintenance, or Security Analyst user to perform this procedure.

The cluster health monitor provides a detailed view of the health status of a cluster and its nodes. This cluster health monitor provides health status and trends of the cluster in an array of dashboards.

Before you begin

  • Ensure you have created a cluster from one or more devices in the management center.

Procedure


Step 1

Choose System (system gear icon) > Health > Monitor.

Use the Monitoring navigation pane to access node-specific health monitors.

Step 2

In the device list, click Expand (expand icon) and Collapse (collapse icon) to expand and collapse the list of managed cluster devices.

Step 3

To view the cluster health statistics, click on the cluster name. The cluster monitor reports health and performance metrics in several predefined dashboards by default. The metrics dashboards include:

  • Overview ― Highlights key metrics from the other predefined dashboards, including its nodes, CPU, memory, input and output rates, connection statistics, and NAT translation information.

  • Load Distribution ― Traffic and packet distribution across the cluster nodes.

  • Member Performance ― Node-level statistics on CPU usage, memory usage, input throughput, output throughput, active connection, and NAT translation.

  • CCL ― Interface status and aggregate traffic statistics.

You can navigate through the various metrics dashboards by clicking on the labels. For a comprehensive list of the supported cluster metrics, see Cisco Secure Firewall Threat Defense Health Metrics.

Step 4

You can configure the time range from the drop-down in the upper-right corner. The time range can reflect a period as short as the last hour (the default) or as long as two weeks. Select Custom from the drop-down to configure a custom start and end date.

Click the refresh icon to set auto refresh to 5 minutes or to toggle off auto refresh.

Step 5

Click on deployment icon for a deployment overlay on the trend graph, with respect to the selected time range.

The deployment icon indicates the number of deployments during the selected time-range. A vertical band indicates the deployment start and end time. For multiple deployments, multiple bands/lines appear. Click on the icon on top of the dotted line to view the deployment details.

Step 6

(For node-specific health monitor) View the Health Alerts for the node in the alert notification at the top of page, directly to the right of the device name.

Hover your pointer over the Health Alerts to view the health summary of the node. The popup window shows a truncated summary of the top five health alerts. Click on the popup to open a detailed view of the health alert summary.

Step 7

(For node-specific health monitor) The device monitor reports health and performance metrics in several predefined dashboards by default. The metrics dashboards include:

  • Overview ― Highlights key metrics from the other predefined dashboards, including CPU, memory, interfaces, connection statistics; plus disk usage and critical process information.

  • CPU ― CPU utilization, including the CPU usage by process and by physical cores.

  • Memory ― Device memory utilization, including data plane and Snort memory usage.

  • Interfaces ― Interface status and aggregate traffic statistics.

  • Connections ― Connection statistics (such as elephant flows, active connections, peak connections, and so on) and NAT translation counts.

  • Snort ― Statistics that are related to the Snort process.

  • ASP drops ― Statistics related to the dropped packets against various reasons.

You can navigate through the various metrics dashboards by clicking on the labels. See Cisco Secure Firewall Threat Defense Health Metrics for a comprehensive list of the supported device metrics.

Step 8

Click the plus sign (+) in the upper right corner of the health monitor to create a custom dashboard by building your own variable set from the available metric groups.

For cluster-wide dashboard, choose Cluster metric group, and then choose the metric.

For node-level custom dashboard, see Correlating Device Metrics.