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Topology aware flow analytics with NVIDIA NetQ

NVIDIA Cumulus Linux 5.11 for AI / ML describes how NVIDIA 400/800G Spectrum-X switches combined with the latest Cumulus Linux release deliver enhanced real-time telemetry that is particularly relevant...

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Replay pcap files using sflowtool

It can be very useful to capture sFlow telemetry from production networks so that it can be replayed later to perform off-line analysis, or to develop or evaluate sFlow collection tools. sudo tcpdump...

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AI Metrics

AI Metrics is available on GitHub. The application provides performance metrics for AI/ML RoCEv2 network traffic, for example, large scale CUDA compute tasks using NVIDIA Collective Communication...

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Capture to pcap file using sflowtool

Replay pcap files using sflowtool describes how to capture sFlow datagrams using tcpdump and replay them in real time using sflowtool. However, using tcpdump for the capture has the downside of...

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Comparing AI / ML activity from two production networks

AI Metrics describes how to deploy the open source ai-metrics application. The application provides performance metrics for AI/ML RoCEv2 network traffic, for example, large scale CUDA compute tasks...

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Dropped packet notifications with Cisco 8000 Series Routers

The availability of the Cisco IOS XR Release 25.1.1 brings sFlow dropped packet notification support to Cisco 8000 series routers, making it easy to capture and analyze packets dropped at router...

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AI Metrics with Prometheus and Grafana

The Grafana AI Metrics dashboard shown above tracks performance metrics for AI/ML RoCEv2 network traffic, for example, large scale CUDA compute tasks using NVIDIA Collective Communication Library...

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Multi-vendor support for dropped packet notifications

The sFlow Dropped Packet Notification Structures extension was published in October 2020. Extending sFlow to provide visibility into dropped packets offers significant benefits for network...

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AI Metrics with Grafana Cloud

The Grafana AI Metrics dashboard shown above tracks performance metrics for AI/ML RoCEv2 network traffic, for example, large scale CUDA compute tasks using NVIDIA Collective Communication Library...

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AI network performance monitoring using containerlab

AI Metrics is available on GitHub. The application provides performance metrics for AI/ML RoCEv2 network traffic, for example, large scale CUDA compute tasks using NVIDIA Collective Communication...

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AI Metrics with InfluxDB Cloud

The InfluxDB AI Metrics dashboard shown above tracks performance metrics for AI/ML RoCEv2 network traffic, for example, large scale CUDA compute tasks using NVIDIA Collective Communication Library...

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Tracing network packets with eBPF and pwru

pwru (packet, where are you?) is an open source tool from Cilium that used eBPF instrumentation in recent Linux kernels to trace network packets through the kernel. In this article we will use...

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Linux packet sampling using eBPF

Linux 6.11+ kernels provide TCX attachment points for eBPF programs to efficiently examine packets as they ingress and egress the host. The latest version of the open source Host sFlow agent includes...

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