Monitor End-to-End Agentic AI and LLMs with Dynatrace AI Observability

Monitor End-to-End Agentic AI and LLMs with Dynatrace AI Observability

Dynatrace via YouTube Direct link

– Wrap-Up: Why AI Observability Matters

12 of 12

12 of 12

– Wrap-Up: Why AI Observability Matters

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Classroom Contents

Monitor End-to-End Agentic AI and LLMs with Dynatrace AI Observability

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  1. 1 – Introduction: What is AI Observability?
  2. 2 – Overview of the App and Key Capabilities
  3. 3 – Getting Data In: OpenLLMetry and Setup Wizard
  4. 4 – Service Health View: Agents, Models and Metrics
  5. 5 – Creating Alerts
  6. 6 – Explorer View: Visualizing AI Service Interactions
  7. 7 – Tracing Agentic Workflows and Prompt Details
  8. 8 – Analyzing Exceptions
  9. 9 – OpenAI, Amazon Bedrock, and other ready-made dashboards
  10. 10 – Prompt Audit Trail and Model Comparison
  11. 11 – Cost Analytics and Optimization Features
  12. 12 – Wrap-Up: Why AI Observability Matters

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