/ THE FEED /
Deep, recent reads ranked by depth and freshness.
01Honeycomb · architecture
LLM applications emit bulky telemetry containing sensitive user content and disparate attribute names. The team uses an OpenTelemetry Collector pipeline to normalize, enrich, redact, and export this data to Honeycomb. This centralizes control, protects data before it leaves the network, and maintains consistent observability.
DEPTH ■■■■■12 min read2 weeks ago
02Yelp · architecture
Yelp developed a chat interface called Yelp Assistant using a hybrid approach combining native UI components and a server-driven UI framework called CHAOS. This architecture allows the team to dynamically update the chat experience without waiting for app store releases. The system separates views from data using reactive datasets and MessageEvents to manage the chat loop, state, and user interactions.
DEPTH ■■■■■12 min read3 weeks ago
03Honeycomb · practice
The Honeycomb Private Cloud team struggled to manually track and integrate rapid infrastructure and configuration changes produced by upstream teams. To solve this, they built custom scripts to generate automated drift reports and eventually integrated AI to help triage and track the necessary follow-up work. As a result, the team successfully scaled their integration process into a reliable daily workflow.
DEPTH ■■■■■10 min read2 weeks ago
