Proven: Up to 73% Fewer Brokers With Confluent Private Cloud – and More

Confluent Private Cloud (CPC) is introduced as a solution to the challenges of managing Apache Kafka deployments, such as cluster sprawl and high infrastructure costs, by offering broker-native multi-tenancy and centralized policy enforcement. CPC promises up to 50% cost reduction by optimizing total cost of ownership, matching latency service level agreements with fewer brokers, and eliminating latency cliffs to provide predictable performance even at peak saturation. The system is engineered for high-density workloads, offering significant broker savings as partition complexity increases. CPC also introduces centralized policy enforcement to streamline encryption, governance, and client management, addressing issues like inconsistent encryption and governance gaps. Additionally, the broker-native multi-tenancy feature aims to balance isolation and efficiency by providing each tenant the experience of an isolated Kafka cluster on shared infrastructure, thus reducing cluster sprawl and operational overhead. The combination of these features positions CPC as a transformative tool for improving the economics and operational efficiency of cloud-native data streaming in private cloud and on-premises environments.