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