savings from reduced Apache Kafka® operations costs
Michelin chose Kafka as the foundation for its real-time inventory management system. But maintaining Kafka infrastructure in-house proved to be operationally complex, time consuming, and expensive.
Michelin implemented Confluent Cloud’s fully managed Kafka service to streamline Kafka operations, free up cash flow, and achieve the scalability and resiliency needed to power its global inventory management system in the cloud.
“Confluent plays an integral role in accelerating our journey to becoming a data-first and digital business…We use Confluent Cloud as an essential piece of our data infrastructure to unlock data and stream it in real time.”
In this video, Michelin shares how they partnered with Confluent to take their data architecture to the next level. Discover how Michelin made the transition from cumbersome, self-managed Kafka to Confluent's fully managed, cloud-native data streaming platform.
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.
Michelin adopted Confluent Cloud to eliminate the need for Kafka infrastructure management and maintenance. With the help of Confluent’s fully managed, cloud-native platform, they were able to scale their real-time inventory system to meet global demand while cutting operations costs by 35%. This freed up the company’s teams to refocus their efforts on building innovative applications and overseeing the organization’s transition to the cloud.
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Nationwide Building Society is a British mutual financial institution, the seventh largest cooperative financial institution and the largest building society in the world with over 15 million members.