You make incredibly fair points and I don't have the data to answer what you've raised. This could be lack of research or the fact that CF hasn't released it. I

You make incredibly fair points and I don't have the data to answer what you've raised. This could be lack of research or the fact that CF hasn't released it. I expect a 20/80 non-researched/non-available mix. My understanding is that the WAF detects trivial stuff like SQL injection and XSS, and the video also mentions it detected ShellShock and so forth (yeah, this was a while ago). "Thousands of regular expressions" is mentioned verbally in the video around ~11:25. That's where I got that from. There are some bits mentioned about the hardware around 19:30: - E5-2630v3 (16 cores, 32 w/ HT which is turned off), 128GB RAM, 10Gbps - Custom built by Quanta: 4 nodes per 2U (each node is like half-width and 1U high), redundant 2xPSU in the middle - 40 machines run Kafka storing 400TB of log data (ingest @ 15Gbps), 50TB disk per node - 5 machines run CitusDB (sharded PostgreSQL) to power realtime graph generation, 12TB SSD per node - 100+ machines for realtime analytics running Go (and presumably LuaJIT) - LuaJIT seems to be the realtime "hmm, interesting" flagging system, while Go is used for in-depth intelligent analysis that's (I assume) slightly behind realtime. Also, the video is actually over here - https://www.youtube.com/watch?v=LA-gNoxSLCE https://www.youtube.com/watch?v=LA-gNoxSLCE --- I'm curious to understand what tail latency is, and very interested to learn more about language latency and performance in general. What subjects would you recommend I learn about / read? (I would describe myself as interested from a hobbyist-intermediate standpont, but from a non-academic POV; I unfortunately get dismally lost with formulaic presentations, math is not a strong subject for me.)