Case Study: Chalo achieves 95% alert noise reduction with Xurrent

Chalo cuts alert noise by 95% and resolves incidents in 10–15 minutes with Xurrent

Chalo, a bus transport technology company in India, faced significant operational challenges before implementing Xurrent's solution. They were relying on a chaotic setup with five disconnected monitoring tools, which resulted in overwhelming alert noise and no clear ownership of issues. Their only "war room" was a Slack channel, leading to poor coordination and slow response times for incidents affecting their real-time bus tracking application.

By using Xurrent IMR, Chalo consolidated its alerts from tools like Datadog and Pingdom onto a single platform. Xurrent implemented filtering rules to reduce noise, automated ticket assignments, and integrated with Slack to route alerts efficiently. This resulted in a 95% reduction in alert noise, a 90% improvement in both MTTA and MTTR, and the resolution of incidents in just 10-15 minutes, all while achieving zero SLA breaches and 99.9% platform availability.

Chalo