The use case: how Gearset deploys Honeycomb
Gearset, a Salesforce DevOps platform, uses Honeycomb tracing and high-cardinality querying to debug production incidents, compare performance across releases, and find which customers or workloads are affected. It also uses the data to proactively monitor performance and explain issues to customers.
More reported results
Figures published in Honeycomb’s case study. They are not independently measured by usedby.
Gearset’s fast-paced development cycles—featuring 10+ releases a week—demand confidence at every step of the process.
In the customer’s words
When we’re investigating with Honeycomb, being able to quickly confirm that something isn’t related saves a huge amount of time. It helps us avoid rabbit holes and focus on what actually mattersOther companies using Honeycomb
Customers across industries, with public evidence.
AmperityConfirmed
Booking.comConfirmed
DepotConfirmed
DuolingoConfirmed
FenderConfirmed
FreshpaintConfirmedGo 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
- Jan 13, 2025
- Last checked
- Nov 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: days to hoursChecked
Printed word for word on the page, near the name of Gearset.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Gearset.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Gearset uses HoneycombChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
By modernizing their observability with Honeycomb, Gearset has tightened its feedback loops and optimized its investigation workflows. The result? Faster fixes within hours rather than days, more confident releases, and a team that can stay ahead of customer-impacting issues
