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We see IoT everywhere, from smart fridges to air quality sensors, but what about applying observability to billions of living things? Introducing Meowy, my virtual cat with a full observability stack. In this talk, I'll build a digital pet from scratch in Go, instrument it with OpenTelemetry, and visualize its "life" in real time, live-tracking its habits, moods, and (attempted) escapes.
I'll show how to create a RESTful "cat API," instrument it for tracing, and set up alerting with the ELK stack and Kibana visualizations. We'll cover observability basics (logs, metrics, and traces), how to apply them to our digital pet, how to structure telemetry data for "living" systems using AI tools, and how to query all our cat stats with an MCP-connected AI agent. By the end, we'll calculate the average MPH (meows per hour) and expand our understanding of observability applications. No prior observability experience required—just some Go basics and a love for any living thing, from feline to fungal!
