Dynatrace for AI Observability: Monitoring OpenAI, TensorFlow, and Other AI APIs

Explore AI observability techniques using Dynatrace in this 34-minute Observability Clinic video. Learn how to monitor AI API usage, including OpenAI and TensorFlow, to identify costs, diagnose performance issues, and optimize operations. Gain insights into capturing AI API context, implementing log parsing rules, and conducting live demonstrations for both OpenAI and TensorFlow observability. Access valuable resources, including blog posts, documentation, and GitHub repositories, to enhance your understanding of AI observability practices. Follow along with the structured chapter list, covering topics from introduction to hands-on demonstrations, to improve your ability to gain insights into AI model behavior, performance, and cost during operation.

- Introduction
- What you'll learn today
- OpenAI Demo Environment
- How to capture AI APIs context
- Log Parsing Rules
- Live Demo - OpenAI Observability
- TensorFlow Observability
- Live Demo - TensorFlow Observability