The use case: how Duolingo deploys Honeycomb
Duolingo's engineering team uses Honeycomb as its central observability platform for incident debugging and application performance monitoring, replacing several separate logging, search and tracing tools. They also use its trace data to assess releases and work with OpenTelemetry instrumentation.
More reported results
Figures published in Honeycomb’s case study. They are not independently measured by usedby.
We were able to cut down the number of time series by 30 million, especially the high-cardinality ones, thanks to the good trace data from Honeycomb.
In the customer’s words
With our Honeycomb adoption, we were able to fully sunset three tools and consolidate all of our logging.Other AI tools used by Duolingo
Other public relationships recorded on usedby.
Explore Duolingo’s AI stackOther companies using Honeycomb
Customers across industries, with public evidence.
AmperityConfirmed
Booking.comConfirmed
DepotConfirmed
FenderConfirmed
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
- Dec 3, 2024
- Last checked
- Nov 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 16%Checked
Printed word for word on the page, near the name of Duolingo.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Duolingo.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Duolingo uses HoneycombChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
“By moving to Honeycomb and consolidating several tools, we saved 16% in total observability tooling costs and gained a substantially better user experience for our engineers in the process,” David noted.






