Real-Time Network Telemetry for AI: Building an Asynchronous NetFlow/sFlow Ingestion Pipeline in Python

Short summary

Production-grade Python tutorial for building an asynchronous network telemetry pipeline using Scapy to capture and aggregate live packet flows (NetFlow/sFlow) via a thread-safe Producer-Consumer pattern. Outputs structured JSON events ready for Kafka or AI infrastructure, essential for real-time anomaly detection and security monitoring at scale.

• •Async packet capture with Scapy's non-blocking queue to prevent packet loss during traffic bursts
• •Stateful NetFlow aggregation with 5-tuple flow key tracking and metrics (packet count, byte count, timestamps)
• •Thread pool workers processing flows into structured JSON events for Kafka/vector database streaming

Generated with AI, which can make mistakes.