How Michelin Cut Apache Kafka® Operations Costs by 35% with Confluent

Описание: Learn more: https://confluent.io/customers/michelin | The Michelin brand is globally recognized for its gold standard reputation for delivering innovative mobility solutions that help businesses and individuals create a better way forward. With a commercial supply chain that spans 170 countries, Michelin relies on a real-time inventory system to efficiently manage the flow of products and materials within their massive network. But with self-managed Apache Kafka underpinning their real-time use cases, they were soon met with scalability challenges and significant operations costs.

In this video, Michelin shares why they chose Confluent Cloud to eliminate the need for Kafka infrastructure management and maintenance. Discover how—with the help of Confluent’s fully managed, cloud-native platform— Michelin was able to scale their real-time inventory system to meet global demand. Not only was the manufacturer able to cut operations costs by 35%, they also freed up their teams to refocus efforts on building innovative applications and overseeing the organization’s transition to the cloud.

ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.

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