Data is out, knowing is in: Applying AI to automate cloud operations
summary
Dynatrace shows an AI called Davis AI that ingests full‑stack telemetry via a single one agent, builds dependency maps (examples quoted: a customer with ~209 trillion dependencies and demos with ~534 million), and produces precise root‑cause answers within milliseconds. Integrations trigger actions: Slack alerts, Lambda or Ansible/Tower runbooks, CI/CD gates and auto-remediation flows. Case results claim zero downtime or faster releases (ANZ, Experian, Western Union, Vitality) and session replay plus code-level traces for immediate developer fixes.
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chapters (9)
- 0:00Introduction and setup
- 1:04AI skepticism in IT
- 6:45Why AI is necessary now
- 15:36AI benefits for cloud ops
- 23:00Demonstrating Davis AI engine
- 33:36How dynaTrace works technically
- 41:09CI/CD integration demo
- 48:16Customer success with Western Union
- 57:01Q&A session
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