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

What this post added

This post provides detailed benchmarking data proving Confluent Private Cloud's (CPC) ability to reduce broker count by up to 73% while matching Apache Kafka's latency SLAs. It highlights CPC's superior tail latency (up to 83% lower) and its elimination of the 'latency cliff' for predictable performance at saturation. The post also details how CPC achieves exponential savings for large-scale workloads with high partition counts. Furthermore, it pre-announces two major upcoming features: CPC Centralized Policy Enforcement (with early access for Gateway Field Level Encryption, Gateway Payload Encryption, and Deep Schema Validation) and broker-native multi-tenancy for CPC, which introduces logical Kafka clusters (LKCs) on shared physical Kafka clusters (PKCs) with isolation, quotas, and observability.