observability-fundamentals
First principles behind observability — wide events, high cardinality, the core analysis loop, events vs metrics vs logs, and how instrumentation connects to debugging outcomes. Grounds recommendations in first principles rather than tool-specific how-to. Trigger phrases: "what is observability", "why observability", "why Honeycomb", "events vs metrics vs logs", "events vs metrics", "events vs logs", "metrics vs logs", "why wide events", "what is high cardinality", "core analysis loop", "observability vs monitoring", "what is dimensionality", "explain observability", or any conceptual question about observability or why Honeycomb's approach differs from traditional monitoring.
Ecosystem Scores - What Happened to it
PROTOCOL WARRANT
This score reflects origin + ecosystem signals. It is not a code audit.
Agent Lineage Map
Spatial graph · creator origin → derivative agents
