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Traffic Analytics Report
This topic provides an overview of the different types of traffic reports you can generate in the Apstra GUI. The traffic analytics report analyzes device traffic patterns and trends in the data center. To learn how to generate this report, see Generate an Analytics Report.
Data Center Overview
This section provides reports on deployed hardware models in the data center. It also includes a chart of traffic rates for server-facing and fabric-facing interfaces on leaf switches.- Device Hardware Model and Operation System Inventory Overview
- Aggregated Server Facing vs. Fabric Facing Traffic Rate
Device Hardware Model and Operation System Inventory Overview
Figure 1 provides an overview of all hardware models in the data center. The example includes 3 virtual EX9214 Ethernet switches running Junos 22.2R3.15.
Aggregated Server Facing vs. Fabric Facing Traffic Rate
Figure 2 shows an example of the traffic rate, in bps, for all leaf switch interfaces. Leaf switch interfaces can be either server-facing or fabric-facing.
Fabric-facing interfaces connect to spine switches. Their traffic is the combined TX and RX rates for all spine-facing interfaces on leaf switches.
Server-facing interfaces connect to non-spine devices like hardware servers and generic systems. Their traffic is the combined TX and RX rates for all server-facing interfaces on leaf switches.
Traffic Analysis for Spine Switches
The following section shows the types of reports you can run for a detailed analysis of spine switches.
Spine Switch Inventories
Figure 3 shows an example of all spine switches in the data center. This example includes the switch hardware model, pod, OS type, and software version.
Fabric Utilization Aggregated View
This section shows the aggregated traffic rate, IRQ traffic rate, and peak RX utilization for spine switches. Fabric utilization measures the bandwidth usage within a switch's internal fabric. It indicates data flow efficiency through the switch and its components.
Spine aggregated traffic rate: Figure 4 shows the formulas used to calculate the utilization (in percentages) of spine switches. Figure 5shows a chart of the spine switch utilizations.
Figure 4: Spine Switches Calculation
Figure 5: Spine Switch Utilization Chart
Spine aggregated utilization IQR: Interquartile range (IQR) measures statistical dispersion (spread of data). Traffic rates vary over time. An IQR analysis helps identify a normal range of values and how often extreme values are observed.
Figure 6 shows the formulas used to calculate IQR-related thresholds. Q1, Q2 and Q3 are used to render the box in the middle of the plot. The lower and upper fence values are used to render the whiskers.
Figure 7 shows the traffic rate IQR for all spine switches during the query time window.
Figure 6: IQR Formula
Figure 7: IQR Chart
Bursty traffic can cause issues even when the average traffic rate is acceptable. Apstra monitors peak RX/TX traffic rates on all deployed switch interfaces during each aggregation period. Figure 8 compares peak RX traffic rates observed on all spine switches during the query time window.
Figure 8: Spine Peak Traffic Rate Chart
Fabric Utilization Individualized View for Spine Switches
The following reports show detailed traffic analysis examples for spine switches. They include examples of traffic analysis for trends, CPU and memory usage, and RX and TX utilizations.
