Situational awareness in a technology ecosystem
summary
Claims a healthcare data stack that achieves near-continuous uptime by combining instrumentation, observability and human-in-the-loop intelligent assist atop a Clearsense platform running in multi-cloud (Azure AWS GCP). Implements streaming ingestion from physiological monitors, batch ETL, model monitoring for drift, plus automated guards that shut down rogue queries and throttle unexpected ingestions (example threshold: stopping a 70 TB surge). Describes an edge pilot with per-user telemetry and real-time recommendations; tools integrate to reduce reactive incidents.
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chapters (12)
- 0:00Introduction to talk
- 1:05Healthcare situational awareness
- 3:17Situational awareness defined
- 5:26Healthcare data ecosystem complexity
- 7:55Modern data architecture overview
- 10:03Data sources and observability needs
- 13:55Human-machine collaboration in monitoring
- 16:00Multi-cloud environment challenges
- 17:49Focused observability in practice
- 21:26Changes in operational practice
- 24:23Observability at the edge
- 27:12Summary and conclusion
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