Case Study: Michelin cuts costs 35% and gains 8-9 months time to market with Confluent Cloud
Key results
The challenge
Michelin, a tire manufacturer founded in 1889, needed to accelerate its shift to a data-first, digital business. The company had employed three full-time employees to manage its self-operated Apache Kafka clusters.
The solution
Michelin adopted Confluent Cloud as a core part of its data infrastructure to stream data in real time and offload the operational burden of running Kafka. The managed platform provided elastic scalability supporting 10TB/day of throughput.
“We use Confluent Cloud as an essential piece of our data infrastructure to unlock data and stream it in real time.”
YCYves CaseauGroup Chief Digital & Information Officer, Michelin
The results, in context
Michelin estimated 35% in cost savings from using Confluent Cloud compared to on-premises operations, with a resilient architecture delivering 99.99% uptime. The company also reported gaining eight or nine months in time to market.