Predefined dashboards and custom dashboard cards reference in NetApp Console local deployment
In NetApp Console local deployment, predefined dashboards and custom dashboard card templates provide monitoring coverage for ONTAP performance, capacity, health, and alert operations.
Predefined dashboards
The following predefined dashboards are available out of the box.
| Name | Description |
|---|---|
Volumes |
Volume performance, capacity, QoS, FabricPool, growth rate, and forecast metrics. |
Time Till Full |
ONTAP time-till-full predictions for clusters, volumes, and aggregates. |
Security |
Security compliance, encryption, autonomous ransomware protection, and authentication overview. |
SVMs |
ONTAP SVM performance, capacity, volume, LIF, protocol (CIFS, FCP, iSCSI, NFS, NVMe/FC), QoS, and latency heatmap monitoring. |
Power |
ONTAP cluster power consumption, temperature, and fan speed monitoring for nodes, shelves, and aggregates. |
Nodes |
ONTAP node performance, CPU, network, and backend monitoring. |
Network |
Network performance metrics including Ethernet, FibreChannel, NVMe/FC, Link Aggregation Groups, and Routes. |
LUNs |
ONTAP LUN performance, capacity, and efficiency monitoring. |
Health |
ONTAP cluster health monitoring including errors, warnings, EMS alerts, HA issues, node/disk/shelf health, volumes, licenses, and network ports. |
Aggregates |
ONTAP aggregate capacity, efficiency ratios, and growth rate monitoring. |
Dashboard-level time windows and aggregation
Available time windows are 30 minutes, 1 hour, 24 hours, 48 hours, 7 days, and 30 days. Aggregation options vary by template and include views such as fleet-wide rollup or top-N style results. Time window and aggregation are configured at the dashboard level and apply to all cards in the dashboard.
Dashboard card templates and metrics
Cards are the building blocks of custom dashboards. Each card uses a predefined template with a metric and chart type, then maps that view to specific ONTAP objects and monitoring goals.
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Card templates are predefined and not user-created. |
Storage operations metric index (at a glance)
Metric types align to common storage administration outcomes, including performance bottlenecks, capacity pressure, health risk, and alert volume.
| Metric type | Supported metrics | Storage admin use case | Detailed templates |
|---|---|---|---|
Performance |
Average latency, peak latency, IOPS, throughput (MB/s), utilization, performance capacity |
Identify bottlenecks, sustained pressure, and performance headroom |
|
Capacity |
Used capacity, free capacity, capacity used (%), snapshot capacity used |
Track growth, identify low-free-capacity areas, and monitor snapshot impact |
|
Health |
Health status, degraded/critical objects, failed disks, network interface errors, hot objects (by latency) |
Detect health regressions and prioritize operational triage |
|
Alerts |
Alerts (Critical), alerts by severity, alerts by impact area, recent alerts, alert trend |
Monitor active incidents and trend alert volume over time |
Supported ONTAP object hierarchy (resource types)
Card data can be represented at multiple ONTAP object levels, from fleet-level visibility to object-level troubleshooting.
Resource type settings map to one or more of the following resource levels:
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Fleet
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Cluster
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System (node)
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SVM
-
Volume
-
LUN
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Local tier (aggregate)
The available resource levels depend on the template and metric you select.
Chart types for operational analysis
Chart type affects how quickly you can interpret trends, comparisons, distributions, and point-in-time values.
| Chart type | Best for |
|---|---|
Line chart |
Time-series trends, such as latency, IOPS, throughput, utilization, and alert trends over time. |
Bar chart |
Categorical comparison and distribution, such as alerts by severity or impact area. |
Pie or doughnut |
Proportional distribution, such as capacity used percentage. |
Table |
Detailed, multi-column data, such as used capacity, health status, and recent alerts. |
Single number (stat) |
A single key value at a glance, such as critical alert counts or failed disks. |
Performance templates for workload triage
Performance templates focus on latency, throughput, and utilization signals that indicate workload pressure.
| Template | Chart type | Description |
|---|---|---|
Average Latency |
Line |
Average latency across the selected targets over the chosen time window. |
Peak Latency |
Line |
Maximum latency observed across the selected targets over the chosen time window. |
IOPS |
Line |
Sum of I/O operations per second across the selected targets. |
Throughput (MB/s) |
Line |
Sum of data throughput across the selected targets. |
Utilization |
Line |
Average CPU or disk utilization across the selected targets. |
Performance Capacity |
Table |
Headroom analysis comparing current utilization to the optimal point. |
Capacity templates for growth and headroom
Capacity templates focus on consumed and available space to support growth planning and risk detection.
| Template | Chart type | Description |
|---|---|---|
Used Capacity |
Table |
Sum of used capacity across the selected targets. |
Free Capacity |
Table |
Sum of free or available capacity across the selected targets. |
Capacity Used (%) |
Pie or doughnut |
Average used-to-total ratio across the selected targets. |
Snapshot Capacity Used |
Table |
Sum of snapshot space consumed across the selected targets. |
Health templates for risk detection
Health templates focus on object status and failure indicators to support operational triage.
| Template | Chart type | Description |
|---|---|---|
Health Status |
Table |
Latest health state for each selected target object. |
Degraded/Critical Objects |
Single number |
Count of objects whose health state is not OK. |
Failed Disks |
Single number |
Sum of failed disks across the selected systems. |
Network Interface Errors |
Pie or doughnut |
Sum of network interface error counters across the selected targets. |
Hot Objects (by Latency) |
Table |
Resources ranked by peak latency, in descending order. |
Alerts templates for incident prioritization
Alerts templates focus on incident volume, severity, and impact area to support monitoring and prioritization.
| Template | Chart type | Description |
|---|---|---|
Alerts (Critical) |
Single number |
Count of critical-severity alerts within the time window. |
Alerts by Severity |
Bar |
Alerts grouped by severity level. |
Alerts by Impact Area |
Bar |
Alerts grouped by impact area, such as capacity, performance, or security. |
Recent Alerts |
Table |
Most recent alerts, sorted by time in descending order. |
Alert Trend |
Line |
Alert count per time bucket over the chosen time window. |