The use case: how Fender deploys Honeycomb
Fender uses Honeycomb for Frontend Observability to monitor its ecommerce platforms, drilling into individual user requests and outliers in performance, and linking frontend traces to backend systems. It already used Honeycomb for backend monitoring and plans to extend frontend use to Fender Play and other consumer-facing applications.
In the customer’s words
With Honeycomb, we can dig into outliers, figure out what’s behind any slowdowns, and fix them right away.Other AI tools used by Fender
Other public relationships recorded on usedby.
Explore Fender’s AI stack
Other companies using Honeycomb
Customers across industries, with public evidence.
AmperityConfirmed
Booking.comConfirmed
DepotConfirmed
DuolingoConfirmed
FreshpaintConfirmed
GearsetConfirmedGo straight to the source
Based on Honeycomb’s published case study. We check the public evidence; the results are reported by the vendor.
honeycomb.io- Source published
- Feb 8, 2025
- Last checked
- Nov 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Fender.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Fender uses HoneycombChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Honeycomb for Frontend Observability offered precisely what the team needed: the ability to drill down into specific requests and uncover outliers often hidden in aggregate metrics.