Tiffany is senior developer advocate at Grafana Labs and a CNCF Ambassador. She also formerly worked as a software developer and developer advocate at VMware, Amazon, Docker, and Intel. Prior to that, she graduated from Georgia Tech with a degree in electrical engineering. In her free time, she likes to travel and dabble in photography. You can find her at tiffanyfay.dev (and for Bluesky) and elsewhere on linktr.ee/tiffanyfay.
What do a raccoon, a goat, and a goose have in common? They all take part in this beginner-friendly session, where we’ll use OpenTelemetry and the Grafana observability stack to easily showcase a cloud-native observability scenario.
In this session, you’ll learn what distributed tracing is, why it’s incredibly helpful for understanding how requests flow through multi-service systems, and how it can reveal issues like latency and unexpected errors — alongside logs, metrics and profiles for a complete observability picture.
We’ll walk through a multi-service application that uses AI to generate animal facts and images, tracing each request from API call to OpenAI fact and image generation to database storage. Along the way, you’ll learn how to use OpenTelemetry to instrument Python and Java applications and visualize the full request journey using easy to understand, open-source dashboards for metrics, logs and traces.
If a goat can survive cloud-native observability, so can you.
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