Case Study
ClickFunnels × Honeybadger
How a SaaS platform powering $10 billion+ in transactions migrated 15 projects to Honeybadger, cut monitoring costs by 33%, and gave 25 engineers the confidence to deploy 15+ times per day.
"Honeybadger is built for engineers by engineers. That's their edge over Sentry or Datadog—they go straight to the end user, not C-suite sales. Error monitoring is a commodity, but their focus isn't."
At a glance
The Challenge
ClickFunnels, a SaaS platform powering $10 billion+ in transactions for 150,000+ customers, had fragmented error monitoring across 15 Rails and JavaScript projects.
Their previous error monitoring tool, BugSnag, had become unreliable after its acquisition by SmartBear — leaving their 25-person engineering team buried in thousands of unresolved errors with no clear path to reducing noise.
VP of Platform Engineering Nate Vick needed a developer-first solution to cut through years of accumulated tech debt, unify error visibility across their AWS and Kubernetes stack, and free up 20% engineering time for quality initiatives — without adding operational complexity.
The Solution
ClickFunnels migrated all 15 projects to Honeybadger within a few months. On the Rails side, setup was minimal — in Nate's words: "install the gem, push to production, and errors are flowing."
Honeybadger's engineer-first culture was evident from day one, with direct Slack access to founders Ben and Josh, who shipped a custom onboarding fix in ~1 hour to halt email floods for 50 new users amid thousands of legacy errors.
Honeybadger Insights and BadgerQL gave both the QA team and developers the ability to build custom views for tracking error trends — a capability Nate sees as a natural path toward replacing New Relic as their primary APM.
The switch from BugSnag to Honeybadger reduced their annual error monitoring cost by 33% — a $20,000 savings per year.
The Results
Teams now track new unique errors weekly through Insights dashboards, reporting on them in Level 10 engineering leadership meetings and tying each one to customer impact. Every one of the team's 15+ daily deploys requires Honeybadger verification.
The QA team adopted BadgerQL to build custom error metrics, reducing alert noise and giving the team cleaner observability across the stack.
Finance approved the switch immediately. In Nate's words, "a no-brainer."
Where tools like Sentry and Datadog require significant organizational overhead and dedicated teams to manage, Honeybadger is adopted from the ground up by the engineers who use it every day. That's what makes it stick.
For a platform with a 99.9% uptime target, Honeybadger has become ClickFunnels' reliability foundation — embedded in every deploy, every QA workflow, and every engineering leadership meeting.
33%
Expense savings
99.9%
Uptime
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