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Mirror on drop is a network visibility feature which allows monitoring of flow drops occurring in the ingress pipeline. When such a drop is detected, it is sent to the control plane where it is processed and then sent to configured collectors. We need this feature for AI deployments visibility.
We need to configure the following in EOS to sflow:
Enhancement summary
Mirror on drop is a network visibility feature which allows monitoring of flow drops occurring in the ingress pipeline. When such a drop is detected, it is sent to the control plane where it is processed and then sent to configured collectors. We need this feature for AI deployments visibility.
We need to configure the following in EOS to sflow:
However currently is not supported to set format or collector "sflow":
https://avd.arista.com/5.1/roles/eos_cli_config_gen/docs/input-variables.html#flow-tracking
The full TOI can be found here:
https://www.arista.com/en/support/toi/eos-4-23-2f/14442-mirror-on-drop
The TOI explains that export sFlow samples to collectors configured under global sFlow configuration can be configured, such as:
Which component of AVD is impacted
eos_cli_config_gen
Use case example
Enable mirror on drop visibility to sflow collector in AI fabric.
Describe the solution you would like
Support for sflow format and collectors.
Describe alternatives you have considered
No response
Additional context
No response
Contributing Guide
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