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Case Study: Homeaglow goes 12+ months with zero internally-caused incidents on Honeycomb

Homeaglow Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Homeaglow
Industry
Consumer Services
Challenge
Debugging blind across a fast-growing marketplace
Headline result
40x performance gain in a critical booking flow

Key results

0
Internally-caused incidents
for 12+ months
40x
Performance gain
critical booking flow
10x
Savings through caching
$1M+
ARR improvement
per year

The challenge

Homeaglow, the largest home-cleaning services marketplace in the United States, struggled to diagnose production problems. Engineers described the work as poking around in the dark, breaking glass and fixing things without knowing whether an issue would recur.

The solution

Homeaglow adopted Honeycomb to gain visibility into its services, using it to trace slow asynchronous jobs and pinpoint performance bottlenecks in core flows such as booking and billing.

Honeycomb is like a Homeaglow for software engineers. The mental load is lighter. If something goes wrong, we will know, and we can fix it fast.

JB
James Baxley
VP of Engineering, Homeaglow

The results, in context

Homeaglow reported going more than 12 months with zero internally-caused incidents and a 40x performance gain in a critical booking flow. Caching delivered 10x savings, two-hour billing jobs were reduced to minutes, and the work drove over a million dollars a year in ARR improvement.

Products used

Honeycomb Distributed TracingHoneycomb BubbleUp