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Summarize

This workshop walked through an end-to-end AI operations lifecycle using Dynatrace and Red Hat AAP.

What You Accomplished

  • Provisioned Red Hat AAP containerized on RHEL 9.
  • Deployed Dynatrace components, including app/configuration integrations, EdgeConnect, and OneAgent.
  • Deployed the easyTravel AI Travel Advisor stack using Ansible-orchestrated Podman automation.
  • Observed AI workload behavior and compared outcomes after controlled runtime changes.
  • Executed autonomous remediation where Dynatrace detections triggered EDA recovery actions.

What You Learned

  • How to combine observability and automation for reliable AI service delivery.
  • How event-driven operations reduce response time and manual toil.
  • How to validate model and retrieval configuration changes with telemetry-backed evidence.
  • Expand detection rules for additional AI quality and cost controls.
  • Add policy-driven approvals for high-impact automation paths.
  • Integrate this pattern into broader platform engineering workflows.

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