Case Study: Trainline achieves 95% error reduction and accelerates release cycles with New Relic

A New Relic Case Study

Preview of the Trainline Case Study

TheTrainline.com Accelerates Rlease Cycles and Reduces Errors by 95% using New Relic

Trainline, the UK’s largest online train‑ticket retailer (about 70% market share and ~20 million visits per month), needed to re‑engineer its frontend and move to continuous delivery after realizing its release process was too slow and lacked real‑time performance insight. Long release cycles (6–12 weeks) and inadequate monitoring prevented the team from quickly understanding the customer impact of deployments.

Trainline adopted New Relic’s SaaS platform (APM, Mobile, Browser, Insights) for instant, drill‑down visibility into web and mobile performance, enabling data‑driven prioritization and a DevOps workflow. Within two months they cut customer‑visible errors by 95%, reduced mobile data transfer by 87%, and accelerated releases from up to 12 weeks to hours (roughly 50 releases in the time previously used for one), while gaining confidence for an upcoming cloud migration.


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Trainline

Mark Holt

Chief Technology Officer


New Relic

273 Case Studies