Cost and speed
Wide Events vs. Three Pillars: AI Observability Costs
Our short summary of Honeycomb’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on honeycomb.io (opens in a new tab)Problem
AI agents were driving up observability costs because metrics, logs, and traces were stored separately.
Solution
They switched to wide events—a single data format that captures metrics, logs, and traces together—so all telemetry fits in one storage layer and reduces overhead.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on honeycomb.io (opens in a new tab)
Elastic