New normal or not normal? Observability that will change the way you work
summary
Claims that automated AI observability (Dynatrace Davis) analyzes massive telemetry — the demo cites 27,586,796,160 dependencies — and finds precise root causes from host to SQL, with single-agent deployment auto-baselining in minutes. Integrations include AWS CloudWatch, Lambda and tags, plus session replay for exact user interactions. Shows management zones, per-request SQL traces and business-impacted user counts, and gives actionable fixes (restart service, change SQL). Several banks and public services use it to scale during the pandemic.
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chapters (17)
- 0:00Intro
- 1:25Observability
- 3:23AI for observability
- 7:12Will AI take my job
- 10:04Digital transformation
- 16:47Smartscape
- 18:41AI Engine
- 19:24Data Analysis
- 21:04Oracle Database
- 22:08Response Time
- 22:51Cloud Watch Metrics
- 23:14Observability Teams
- 23:47User Experience
- 24:56Session Replay
- 25:47AWS specific metrics
- 27:08Configurations
- 28:30How to get started
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