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UID:pretalx-2023-UZYJZD@cfp.cfgmgmtcamp.org
DTSTART;TZID=Europe/Brussels:20230207T155500
DTEND;TZID=Europe/Brussels:20230207T164500
DESCRIPTION:Collecting Observability data with eBPF aims to help Dev\, Ops\
 , and SREs to debug and troubleshoot incidents. Data requires storage\, vi
 sualization\, and verification: Do the Service Level Objectives (SLOs) mat
 ch\, dashboards visualize useful data correlation\, network service maps m
 ake sense\, and what about security policies? \n\nSimulating a production 
 incident is challenging. Chaos engineering enables teams to break things i
 n a controlled environment and verify alerts\, SLOs\, and data accuracy. W
 hich data retention cycle is best\, and which dashboards reduce the mean-t
 ime-to-response? Anomaly detection and forecasting would be great too. \n\
 nThis talk dives into the learning steps with eBPF and discusses tradition
 al metrics monitoring and future Observability data collection\, storage a
 nd visualization. Learn from hands-on examples with chaos experiments that
  attempt to break eBPF probes\, data collection\, and policies in unexpect
 ed ways … and bring new perspectives into cloud-native reliability.
DTSTAMP:20260616T031311Z
LOCATION:B.1.015
SUMMARY:From Monitoring to Observability: eBPF Chaos - Michael Friedrich
URL:https://cfp.cfgmgmtcamp.org/2023/talk/UZYJZD/
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