The use case: how Freshpaint deploys Honeycomb
Freshpaint uses Honeycomb for unsampled distributed tracing of its event ingestion pipeline and for SLO-based alerting. Engineers filter by customer and destination to diagnose incidents, scope their impact, and detect customer configuration problems before customers report them.
More reported results
Figures published in Honeycomb’s case study. They are not independently measured by usedby.
In Honeycomb, they established an ingest "successfully processed within 5 minutes" SLO of 99.95%.
Freshpaint is a privacy-first healthcare marketing and data platform that helps 300+ healthcare organizations deliver measurable performance while safeguarding patient trust in a complex regulatory environment.
In the customer’s words
Most problems are obvious to diagnose now because we can group by customer in Honeycomb.Other AI tools used by Freshpaint
Other public relationships recorded on usedby.
Explore Freshpaint’s AI stack
Honeycomb users in Marketing Tech
Companies in the same sector, with public evidence.
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Go 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
- Oct 30, 2026
- Last checked
- Nov 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 10 minsChecked
Printed word for word on the page, near the name of Freshpaint.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Freshpaint.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Freshpaint uses HoneycombChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Engineers drilled straight to the customer's environment ID in Honeycomb and identified the account in 10 minutes. Mark estimates CloudWatch alone would have taken an hour or more, and the team likely would have mistaken it for a general traffic increase.