Practical AI with Machine Learning for Observability in Netdata

Practical AI with Machine Learning for Observability in Netdata

Conf42 via YouTube Direct link

preamble

2 of 30

2 of 30

preamble

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Practical AI with Machine Learning for Observability in Netdata

Automatically move to the next video in the Classroom when playback concludes

  1. 1 intro
  2. 2 preamble
  3. 3 about netdata
  4. 4 how it is different - the traditional way
  5. 5 the traditional monitoring pipeline
  6. 6 the result of the traditional pipeline
  7. 7 the netdata way
  8. 8 how it works
  9. 9 distributed monitoring
  10. 10 fully on-prem
  11. 11 distributed mixed
  12. 12 the benefits
  13. 13 netdata vs prometheus
  14. 14 ai for observability
  15. 15 ai for observability is tricky
  16. 16 how ml works
  17. 17 sharing of ml models
  18. 18 so what it can do?
  19. 19 is anomaly detection accurate?
  20. 20 then, how can we trust it?
  21. 21 how it can help us?
  22. 22 what does netdata do with ml?
  23. 23 anomaly rate on every chart
  24. 24 a netdata chart
  25. 25 netdata's scoring engine
  26. 26 a netdata dashboard - what is anomalous?
  27. 27 anomaly advisor
  28. 28 highlights of ml in netdata
  29. 29 what is next for ml in netdata?
  30. 30 thank you!

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.