Case Study: Leading South Korean Credit Card Company achieves 50% lower TCO and simplified Kafka operations with meshIQ

Cost Effective Kafka Distribution for Critical Applications

Leading South Korean Credit Card Company needed a dependable Kafka-backed microservices architecture on Kubernetes to run its user financial integrated hub, real-time digital marketing program, and customer payment platform but lacked in-house Kafka distribution and management expertise. They engaged meshIQ to provide a cost-effective Kafka distribution and monitoring solution to meet strict requirements for zero latency/downtime, extreme scalability, reliable message queuing, and minimal IT maintenance.

meshIQ implemented an end-to-end Kafka stack with producer-to-consumer algorithmic latency monitoring, partition distribution tracking across brokers, and continuous cluster monitoring with partition-balancing recommendations to simplify operations and ensure reliability. As a result, meshIQ helped the customer achieve a 50% lower total cost of ownership, increased engineer productivity through simplified Kafka usage, and reduced the resources needed to design, install, and operate Kafka.