This video uses the preceding network to simulate the data center network
The data center network consists of two SPINE devices (CE6870-48S6CQ-EI)
and four LEAF devices (CE6851HI)
To perform big data analysis on network traffic through FabricInsight
the FabricInsight LEAF device is connected to two data center SPINE devices in bypass mode
mirroring network data to FabricInsight Collector
This provides the data to FabricInsight Analyzer for big data analysis
When the interaction quality deteriorates for some applications in the data center
FabricInsight can help users quickly identify faults
The following demonstrates how to use FabricInsight
to analyze the deterioration of application interaction quality
When the network is congested, the application quality deteriorates
Set the latency threshold and color for the health status based on the O&M experience
For example, the health status is Subhealth
and marked in purple if the latency is greater than 10 ms
and is Exception and marked in red if the latency is greater than 30 ms
Open the web page on VM2 to access the application
The image refreshing speed is normal
Configure qos queue 0 shaping cir 25 mbps for the 10GE 1/0/3 interface of SPINE2
and simulate the scenario where the link between SPINE2 and LEAF3 is congested
Open the web page on VM2 to access the application
The image refreshing speed slows down
The application visualization page of FabricInsight is updated
The health status of the application OA becomes poor
and the average intra-application latency exceeds the specified threshold
Double-click the application OA to go to the application details page
The access logic link between the web and app is marked in red
indicating that the interaction quality decreases
Click the access logic link between the web and app
The network route between SPINE2 and LEAF3 is marked in red
indicating that the route latency is large
After demonstration, run the undo qos queue 0 shaping command
to delete the QoS configuration from the interface
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