Understanding the Device-Level Energy Dashboard

The Overview tab provides a high-level summary of a device's energy usage, efficiency, and port activity.

Use this tab to quickly assess device's key energy metrics, analyze power-throughput behavior, and identify ports contributing to idle power consumption.

• View Key Energy Metrics for a Device

  The summary cards display the key energy metrics for the device.

  Use these cards to monitor how much power the device consumes, how that translates into energy cost and greenhouse gas (GHG) emissions, and how usage trends vary over time.

  Figure 1: Device-level Metric Cards

  Table 1: Energy Metrics Description

  Metric	Description	Unit	Notes
  Power Usage	Real-time power draw of the device	Kilowatts (kW)	The timestamp indicates when the data was last updated.
  Energy Consumption	Energy consumed by the device in the past hour	Kilowatt-hour (kWh)	The system aggregates power usage for a rolling one hour interval to calculate energy consumption
  GHG Emission	Estimated greenhouse gas emission generated from the device in the past hour	gCO₂e (grams of CO₂ equivalent)	Calculated based on the carbon intensity you configure at the organization or site level. If not configured, a default value is displayed. See, Configure Sustainability Settings for the Organization or Configure Sustainability Settings for a Site.
  Total Cost	Estimated cost of energy consumed by the device in the past hour	USD ($)	If cost per unit is not configured at the organization or site level, this field appears blank. See, Configure Sustainability Settings for the Organization or Configure Sustainability Settings for a Site.

  Note:

  • The values displayed for Energy Consumption, GHG Emissions, and Total Cost represent aggregated values for a rolling one hour interval. The data is updated every 15 minutes.

  • The units displayed for Power Usage, Energy Consumption, and GHG Emissions are dynamically scaled based on the magnitude of the value.

  • Each metric card includes an indicator showing whether the value has increased, decreased, or remained stable compared to the previous hour.

  You can view trend graphs for Energy Consumption, GHG Emission, and Total Cost for the device.

  Click any of these three metric cards to view their historical trend for the selected time range (1 hour, 1 day, or 1 week) in the right pane. The x-axis represents the selected time range and y-axis represents the selected metric's values. Hover over any point on the graph to see the exact metric value for that timestamp.

  Figure 2 shows the GHG emission trend for the past hour. You can notice a slight decrease in emission. You can also see the GHG emission for a specific timestamp in a popover.

  Figure 2: GHG Emission Historical Trend Graph

• Monitor a Device's Power vs Throughput Patterns

  The Power vs Throughput line graph visualizes the historical correlation between a device's power usage and its throughput.

  Use this graph to analyze how efficiently the device converts traffic load into power usage, identify idle power consumption, analyze historical patterns, such as, peak vs off-peak behavior, and identify opportunities for energy optimization.

  Figure 3: Power vs Throughput Graph

  Table 2: Graph Description

  Axis	Metric	Description	Color	Unit
  Left y-axis	Power	Shows the aggregated power usage of the device over the selected time range.	Brown	Watts (W)
  Right y-axis	Throughput	Shows the aggregated traffic handled by the device over the selected time range. Traffic may vary significantly based on network activity.	Blue	bps
  x-axis	Time Range (1 hour, 1 day, 1 week)	Represents the selected time range. By default, it is set to 1 day.	—	Hours or Days

  Note:

  Hover over any point on the lines to view the exact power and throughput values for that timestamp.

  Under normal operating conditions, power draw increases when throughput increases and reduces during low-traffic periods. However, most network devices have a relatively flat power curve due to always-on components such as control planes, PSUs, transceivers, and cooling systems, as shown in Figure 2.

  Figure 4: Sample Power vs Throughput Graph

  For example, in a stock exchange network, throughput spikes during trading hours and drops afterward. However, power usage remains almost constant. You can use the historical trends to schedule port shutdown during off-peak hours to reduce unnecessary power consumption.

  Use the chart to:

  • Compare the device's power to traffic proportionality across time ranges

  • Identify idle power draw during low-traffic periods and plan optimization efforts

  • Compare device-level energy patterns across multiple devices

• Monitor a Device's Per Port Peak and Off-Peak Traffic Patterns

  The Per Port Peak / Off-Peak Traffic Monitoring heatmap shows the hourly traffic pattern for each port on the device.

  Use this visualization to easily identify unused or lightly used ports that contribute to energy consumption in idle state.

  Figure 5: Per Port-Peak/ Off-Peak Traffic Heatmap

  Each row corresponds to a port on the device. Port count varies by device model.

  Each column corresponds to hourly time slots across the selected time range. By default, the heatmap shows port traffic for 24 hours.

  The timestamp indicates the exact 24-hour time window for which the data is displayed.

  The intensity of traffic on the port is represented using gradients of green. See, Table 3.

  Table 3: Traffic Intensity

  Color	Traffic Level	Description
  Dark Green	High	Port is handling heavy traffic.
  Mild Green	Medium	Port is handling moderate traffic.
  Light Green	Low	Port is handling light traffic.
  Grey	Off	Port is unused.

  Hover over a tile to view the port number, traffic, and power metrics for that hour.

  Use the heatmap to:

  • Identify unused ports (grey), which are candidates for shutdown recommendations. See, Optimize Energy Consumption by Shutting Down Unused Ports.

  • Understand peak and off-peak hours to plan port shutdowns.

    See, Optimize Low Traffic Ports Based on Historical Traffic Patterns.

  • Identify ports with consistently low traffic (light green) that reduces device's energy efficiency and schedule port shutdown.

  • Map per-port trends to power-throughput behavior over time

    For example, if a port remains light green or gray across multiple hours, and the device's power usage does not drop during those periods, the port is contributing to idle power draw.

The Power Supply tab provides insights into the health, status, and efficiency of the power modules installed on the device. These modules are typically hot-swappable and often deployed in redundant configurations (N+1) to ensure power availability.

Network devices usually support multiple power modules to maintain uptime even if one module fails. Each module may connect to one or more input power sources, such as AC mains or DC battery. The number of module slots can vary depending on the device model and usually can be replaced without powering off the device.

Use the tab to monitor power module performance and redundancy, diagnose input feed issues, and plan upgrades or maintenance based on module health.

• View the Power Capacity of a Device

  The Power Usage widget uses a progress bar to display the device’s maximum power capacity and its current power usage.

  Figure 6: Power Usage Bar

  • Green segment represents the actual power usage of the device in Watts.

  • White segment represents the remaining capacity in Watts.

  • The full bar indicates the maximum power capacity of the device.

  • The percentage below the bar indicates how much of the maximum capacity is utilized by the device.

  • The timestamp indicates when the data was last updated.

  Use this view to understand the device's overall power capacity and current utilization by the device.

• View Power Supply Module Availability

  The Power Supply Modules widget uses a donut chart to summarize the status of the power modules in the device.

  For status definition, see Table 4.

  Table 4: Power Module Status

  Color	Status	Definition	Recommended Action
  Green	Online	Power module is installed and supplying power.	No action required; verify redundancy
  Grey	Offline	Power module is installed but not supplying power.	Check input feed, cabling, or module health

  Use this chart to get a quick overview of power module availability and redundancy in the device.

  In Figure 7, the center displays Total 100, which indicates the total number of modules in the device and the entire ring is green, meaning 100% of modules are online.

  If there were grey segments in the ring, it would indicate some modules are offline and may require troubleshooting.

  Figure 7: Power Supply Module Chart

• View Details on the Power Supply Modules

  The Power Supply Modules table provides detailed information on the individual power modules installed on the device.

  The timestamp indicates when the data was last updated.

  Use this table to assess module health, prevent power outages, and monitor module efficiency to optimize energy usage.

  

  For field description, see Table 5

  Table 5: Power Module Table

  Field	Description
  Name	Name of the power module, along with an icon representing the module. Color coding is used to indicate the health of each module. Green—Indicates the module is healthy. Red—Indicates the module is faulty.
  Power Load Bar	Visual indicator that shows the current power output of each module relative to its maximum capacity. The usage is measured in kilowatts (kW) and percentage, showing how much of the module’s capacity is being utilized. Color Scale Green—Actual power being used by the module. White—Remaining unused capacity. Gray—Indicates the full bar but no active load. This is displayed for offline modules.
  Status	Indicates the status of the power module, whether the module is online or offline. See Table 4.
  Efficiency	Shows the power conversion efficiency of each module, expressed in percentage. Higher values indicate more efficient module performance.

Use this table to ensure the device is not nearing power capacity thresholds, detect underperforming or degraded power modules, and plan for redundancy or upgrades.

For example, if a switch consumes 22 kW out of a total of 120 kW of power, it is operating at approximately 18% utilization. If the chassis provides two module slots but only one module is online, the device has no redundancy, and a single module failure would cause a complete outage. The dashboard helps you identify such risks and plan accordingly.

The Thermal Profile tab displays information on the temperature, cooling performance, and sensor behavior of the device and how they contribute to energy usage.

Use this tab to monitor thermal performance, prevent overheating, and optimize fan and power usage of your device.

• View a Device's Average Temperature and Average Fan Speed

  Use the Device Avg Temperature and Avg Fan Speed time-series graph to monitor trends in a device's temperature and cooling behavior.

  Figure 8: Device Avg Temperature and Avg Fan Speed Graph

  Table 6: Field Description

  Axis	Metric	Description	Color	Unit
  Left y-axis	Average Temperature	Shows the average temperature of the device over the selected time range.	Blue	°C (Celsius)
  Right y-axis	Average Fan Speed	Shows the average fan speed over the selected time range.	Brown	RPM
  x-axis	Time Range (1 hour, 1 day, 1 week)	Represents the selected time range. By default, it is set to 1 day.	—	Hours / Days

  Note:

  Hover over any point on the lines to view the exact temperature and fan speed values for that timestamp.

  Under normal operating conditions, the fan speed remains proportional to the device temperature, as shown in Figure 8.

  Use this graph to identify:

  • Periods where fan speed remains high while the temperature is low.

  • Instances where temperature spikes are not met with a corresponding fan speed increase. This signals potential overheating risks or an issue with the thermal control system.

  • Optimize fan speeds based on real-time needs to reduce the device's power draw and minimizes the heat load placed on the main data center cooling infrastructure.

• View Power Trend of a Device

  The Power Trend line chart is a time-series graph that displays the power consumption of the device over a selected time period.

  Figure 9: Power Trend Chart

  The y-axis represents the power draw in Watts (W) and x-axis represents the selected time period (1 hour, 1 day, 1 week).

  Tip:

  Analyze the chart alongside the Device Avg Temperature and Avg Fan Speed chart to understand the relationship between power draw and thermal load of the device. Under normal operating conditions, the device's fans must respond with proportional increase in fan speed to prevent overheating and ensure thermal stability.

  If the thermal profile is stable but the power curve is consistently high, it suggests inefficient power to traffic proportionality and as a result increase the heat load.

• Monitor the Top Sensors on the Device by Temperature Deviation

  The Top Sensors by Temperature Deviation widget provides a tabular view of the top five component sensors of the device that require immediate attention.

  Table lists sensors with their current temperature and temperature deviation from baseline. You can sort the table based on device temperature.

  Figure 10: Top Sensors by Temperature Deviation Table

  Use this table to identify sensors that have the highest fluctuation or variation from a stable or baseline temperature.

  For field description, seeTable 7.

  High deviation suggests potential hotspots and thermal issues, which could be caused by sudden spikes of workload or a failing fan. High deviation places significant stress on the component over time and impacts device performance.

  If components are frequently overheated and show high deviation, it means that the device's cooling system (fans) or the facility's cooling (airflow) are failing to maintain stable operating conditions.

  You can also correlate the sensor with the Power Trend Chart data. A high-deviation sensor indicates that the power draw is likely spiking rapidly and frequently, generating inconsistent heat.

  Table 7: Sensors Table Field Description

  Field	Description
  Sensor Name	Identifies the specific sensor being measured. This allows you to identify the source of the heat.
  Temperature Deviation	The variation between the device’s measured temperature and the optimal temperature range. The icons help you quickly identify whether the device is running normal, warmer, or hotter than expected baseline. Green—Indicates the device temperature is within expected range. No action required. Yellow—The device is running slightly above its normal temperature but not yet critical. Red—Temperature is significantly above normal and may impact device performance.
  Temperature	The current aggregate temperature recorded by the sensor. Click on the arrowhead next to the header to sort the table in ascending or descending order.

• View Fan Status of a Device

  The Fan Status widget shows the operational status of all fan trays in the device. The widget displays individual fans within each tray, their speed (RPM), and health indicators to help monitor thermal performance.

  Use this widget to monitor the cooling performance of the fans. Failed fans reduce cooling efficiency of the device.

  Figure 11: Fan Status View

  You can sort the view by RPM or fan status to quickly identify the fans that are drawing the most power or those that have shut down completely due to low heat load.

  Each tray is represented as a separate tile and inside each tray, individual fans are listed.

  Revolutions Per Minute (RPM) indicates the rotational speed of each fan.

  Color-coding is used to convey the health of each fan component. See, Table 8.

  Table 8: Fan Health Indicator

  Color	Status	Operational Status
  Green	Ok	Fan is healthy and operating normally.
  Yellow	Absent	Fan is not present in the tray.
  Amber	Check	An error has been detected in the fan and may require inspection.
  Red	Failed	The fan has failed or disconnected and requires immediate attention to prevent device from overheating.

  Use the insights provided in this section to take action, whether it's replacing a component or adjusting the device's fan control policies. Thermal optimization can also help reduce cooling costs.

The Recommendation tab provides device-level energy optimization suggestions based on telemetry collected from the device.

The recommendation service executes once per day. Each execution uses historical per-port traffic telemetry and the configuration data available at the time of execution. The Recommendation tab displays the most recently generated results for the device.

Note:

The Recommendation tab will appear empty, if no safe or meaningful recommendations or power saving actions were identified based on the latest device telemetry.

Each recommendation is presented in a structured accordion format for easy evaluation. Use this tab to view device-level energy usage optimization suggestions.

For field description, see Table 9.

Table 9: Recommendation Card

Header	Description
Title	Summary of the recommendation type and the count of entities identified for the recommendation. For example, Device Port Power Optimization (29 ports). The Device Port Power Optimization recommendation provides suggestions on how the power consumption of device ports can be optimized by following the suggested actions. The number indicates how many ports qualify for this recommendation. In this case, the recommended actions are applicable to 29 ports.
Device Port	Port identified for power optimization. Use the drop-down selector to select a port and view its specific recommendation.
Description	A summary of the observations that resulted in this recommendation.
Actions	Provides step-by-step guidance and relevant configlet-based actions required to apply the recommended changes on the device. Note: You must use the configlets in Apstra Data Center Director to apply configuration changes to the device. For more information on configlets, see Configlets in the Apstra Data Center Director User Guide.
Benefits	Displays quantified advantages achievable by applying the action, such as estimated power and cost savings, and reduced GHG emissions.
Risks	Highlight caveats such as potential dependencies, safety checks, and guardrails to consider before applying the suggested changes.
Timestamp	Indicates when the recommendation was generated and how long it is valid. Note: Recommendations are refreshed daily based on the latest device telemetry.

Currently supported recommendations:

• Optimize Energy Consumption by Shutting Down Unused Ports

• Optimize Low Traffic Ports Based on Historical Traffic Patterns