Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Costa_Tsaousis_practical_ai_machine Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:35 about netdata 1:09 how it is different - the traditional way 1:56 the traditional monitoring pipeline 2:45 the result of the traditional pipeline 4:30 the netdata way 6:22 how it works 12:23 distributed monitoring 12:47 fully on-prem 13:18 distributed mixed 13:52 the benefits 16:44 netdata vs prometheus 18:19 ai for observability 19:50 ai for observability is tricky 20:25 how ml works 21:01 sharing of ml models 22:34 so what it can do? 23:29 is anomaly detection accurate? 24:29 then, how can we trust it? 25:20 how it can help us? 29:07 what does netdata do with ml? 30:25 anomaly rate on every chart 30:56 a netdata chart 34:47 netdata's scoring engine 35:27 a netdata dashboard - what is anomalous? 36:21 anomaly advisor 38:25 highlights of ml in netdata 41:14 what is next for ml in netdata? 42:58 thank you!