SAS, headquartered in Cary, North Carolina and a leader in analytics software solutions, overcame self-managed open-source Kafka's scalability limitations, high operational costs, and complex Kubernetes migration hurdles. Confluent for Kubernetes delivered superior performance and elastic on-demand scaling, while Cluster Linking enabled a seamless, low-downtime transition that unlocked agility. This upgrade slashed total cost of ownership, eliminated infrastructure burdens, and empowered radical improvements in responsiveness to demand fluctuations for mission-critical analytics workloads.

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