Don't Believe the Data! Data VS Intuition in Decision Making
summary
Claims that systems generate 225 alerts a day leading to roughly 11,250 lines to process, that outages cost $145–$250 per minute, and that forecasters improve model output by 25% with human intuition. Notes use of VictorOps style alert streams, CAPTCHA examples of pattern recognition, and comparisons between primitive brain wiring and frontal lobe pattern compilation. Emphasizes concrete tradeoffs: which signals are low‑noise, which rules get automated, and which split‑second calls actually save money.
AI-written summary · about
related talks
19mSensory Friendly Monitoring: Keeping the Noise Down
40mNext-generation Alerting and Fault Detection
25mSymptom-based Alerting for Machine Learning - What I Learned...
15mAnti-patterns in Security Monitoring
24mListen to Production the Way It Deserves
28mAlerts don't suck, YOUR alerts suck
32mThe Hidden Costs of On-Call: False Alarms
38mWatch Everything, Watch Anything: Anomaly Detection