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info ribbon: missing data collections
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Classroom Contents
Netdata: Open Source Distributed Observability Pipeline
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- 1 intro
- 2 preamble
- 3 about netdata
- 4 why another tool?
- 5 the current state of observability
- 6 observability generations
- 7 attributes of the ideal observability solution...
- 8 goal: monitor everything!
- 9 goal: real-time per second & low latency!
- 10 goal: powerful fully automated dynamic dashboards!
- 11 goal: ai-powered correlations!
- 12 netdata
- 13 the design of observability keeps fidelity low
- 14 decentralized design for high fidelity
- 15 common concerns about decentralized designs
- 16 netdata on an empty vm
- 17 distributed metrics pipeline
- 18 - standalone
- 19 - distributed monitoring
- 20 - centralization points
- 21 - hybrid cloud
- 22 netdata vs prometheus
- 23 netdata is the most lightweight platform!
- 24 netdata in cncf
- 25 we have a lot in common
- 26 nidl, the model for rapid deployment
- 27 nidl: how it looks?
- 28 nidl: the result
- 29 mission accomplished!
- 30 slice and dice from the ui
- 31 a netdata chart
- 32 info button: help about this chart
- 33 a netdata chart - controls
- 34 a netdata chart - anomaly rate per node
- 35 dicing any chart, without queries
- 36 info ribbon: missing data collections
- 37 mission accomplished!
- 38 ai for observability is tricky
- 39 what does netdata do with machine learning?
- 40 netdata's scoring engine
- 41 a netdata dashboard
- 42 anomaly advisor
- 43 mission accomplished!
- 44 systemd-journald
- 45 netdata systemd-journal logs explorer
- 46 systemd-journald: it is slow to query
- 47 systemd-journald: it lacks integration
- 48 mission accomplished!
- 49 challenge
- 50 netdata functions
- 51 example: network connections explorer
- 52 mission accomplished!
- 53 monetization through saas
- 54 thank you!
