~/talk

Evolution of Application Visibility for Telcos: From Programmable Switches to Cloud Native

links:none on file
github:tgraf
slides:none on file

Claims a terabit-scale application-insight pipeline combining fast packet processing with ML to classify apps and infer video resolution and user experience from flow telemetry. Early proof uses P4 programmable switches to stream per-flow time-series at line rate (6.4 Tb/s) and suppress 80% of packets so CPU handles 20%, delivering a 400 Gb/s analytics box in 3U (two servers). Later moves to eBPF-based CNFs and Cilium/Hubble/Tetragon yield cloud‑native deployability and software speeds of ~80–90 Gb/s per 24 cores and up to ~200 Gb/s on one server.

AI-written summary · about

  1. 0:00Telco visibility challenges
  2. 1:44Customer pain points
  3. 3:30Data requirements for observability
  4. 4:37Terabit-scale traffic analysis
  5. 6:03Programmable switches and P4
  6. 8:52Cloud-native eBPF observability
  7. 10:38Why eBPF became standard
  8. 12:22eBPF packet processing
  9. 14:28eBPF architecture benefits
  10. 15:31Cilium and Hubble observability
  11. 17:17Tetragon runtime security
  12. 18:44Layer 3/4 and HTTP/GRPC parsing
  13. 19:46Advanced telemetry with tracing
  14. 21:10Q&A and demo
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