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UID:pretalx-denog18-MRZYPH@cfp.denog.de
DTSTART;TZID=CET:20261116T151500
DTEND;TZID=CET:20261116T154500
DESCRIPTION:Anycast is easy to explain and notoriously difficult to observe
 . Announce the same IP address from multiple locations\, allow BGP to choo
 se a path\, and traffic should reach the "nearest" instance\, although BGP
 's idea of nearest often has little to do with geography.\n\nProVision (fo
 rmerly 6connect) operates an anycast DNS platform spanning six prefixes\, 
 39 BGP nodes\, 13 regions\, and five continents. For years\, we knew the p
 latform worked because queries were answered. What we could not prove was 
 how it worked: which users reached which nodes\, how quickly packets arriv
 ed\, and where traffic quietly disappeared.\n\nThis presentation tells the
  story of how we turned one of anycast's most frustrating behaviors-ICMP r
 eplies returning to the "wrong" node-into a measurement. That insight grew
  into an automated pipeline running 117\,000 probes per second across 2.6 
 million targets\, measuring latency\, loss\, jitter\, routing behavior\, p
 ath MTU failures\, ECMP paths\, and visibility at 845 Internet Exchanges.\
 n\nIt is also the story of how two network engineers who are not full-time
  developers built the system through intensive collaboration with AI codin
 g models. AI supplied much of the implementation capacity\; the humans sup
 plied decades of network intuition\, architectural direction\, validation\
 , and the authority to say when the code was confidently wrong.
DTSTAMP:20261005T184754Z
LOCATION:Saal B
SUMMARY:You can't make everybody equally happy - Measuring Anycast with AI 
 as the Third Member of a Two-Person Team - Jan Zorz
URL:https://cfp.denog.de/denog18/talk/MRZYPH/
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