How Michelin Cut Kafka Costs by 35% with Confluent Cloud

Michelin, a renowned French manufacturer, is leveraging data-driven innovations to advance its mobility solutions by utilizing Apache Kafka for real-time data streaming and event-driven architecture. Initially adopting self-managed Kafka to enhance fleet management and streamline business processes, Michelin faced challenges in operational complexity and scalability, prompting the transition to Confluent Cloud—a managed cloud-native Kafka service. This migration has significantly reduced operational burdens, improved reliability, and is projected to yield a 35% cost saving compared to on-premise operations. With Confluent Cloud, Michelin has enhanced real-time inventory management and unlocked the potential for further innovation across various departments, aligning with its mission of creating a better way forward.

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