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Case Study: drivvn reduced time to detect issues by 75% with Checkly

drivvn Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
drivvn
Industry
Automotive
Challenge
Limited visibility into a fast-growing retail platform
Headline result
drivvn added Checkly synthetic and API monitoring across its automotive retail platform, cutting the time to detect issues by 75%.

Key results

75%
Reduction in time to detect issues
€709M
Supported vehicle sales
2022

The challenge

drivvn runs the online stores and customer journeys for major automotive brands, spanning 15 brands across 17 countries and handling constantly changing vehicle configurations, options, and finance offers. As adoption grew, the team needed better visibility to identify and resolve failures before clients and their customers were affected.

The solution

drivvn adopted Checkly for synthetic and API monitoring of its production systems, running browser and API checks with Playwright support and integrating with its existing Terraform-based CI/CD workflow. The team also uses Checkly's Playwright traces and videos to speed up debugging.

The process of getting set up for the first couple of checks with Checkly was very simple and the onboarding was nice.

JW
Joe Wright
Lead Automation Test Analyst, drivvn

The results, in context

drivvn reports a 75% reduction in the time to detect issues after adopting Checkly. Its platform supported €709m in vehicle sales in 2022 across 15 automotive brands and 17 countries.

Products used

Checkly Synthetic MonitoringCheckly API ChecksCheckly Playwright Browser Checks