Making Apache Kafka Serverless: Lessons From Confluent Cloud

Confluent Cloud's architecture leverages Kubernetes and the Confluent Operator for Kafka to achieve a serverless experience, where customers can expand their Kafka clusters automatically without service disruption or user intervention. The control plane is responsible for managing capacity, provisioning new brokers, and rebalancing data across the cluster. Infinite Storage separates the concerns of data storage from processing, allowing each layer to scale independently and reducing migration times when balancing the load. Confluent's dual-tier architecture provides a truly elastic Kafka experience with disk buffering and separate paths for fresh and historical data, isolating latency-sensitive apps from those reading older data. The Confluent Cloud platform offers a scalable, elastic, and seamless serverless experience, aligning with the "serverless" vision where users focus on client application logic while resources magically arrive when needed and disappear when no longer required.

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