Ensuring Zero Latency and Extreme Scalability for Financial Integrated Hub with Apache Kafka®.
The problem.
A leading credit card company needed to support its integrated transaction hub, real-time digital marketing program, and customer payment platform on a Apache Kafka®-supported microservices architecture. The main goal was to put in place a cost-effective and highly scalable way to achieve lower latency or downtime, and minimal IT resource support for Apache Kafka® maintenance.
Overview.
Background.
- Leading South Korean credit card company
- User financial integrated hub, real-time digital marketing program, and customer payment platform were expected to run on a Apache Kafka®-supported microservices architecture and Kubernetes
- Lacked expertise in Apache Kafka® distribution and management
Requirements.
- Zero latency or downtime
- Extreme scalability, a reliable message queue, and distributed data streaming capabilities
- Minimal IT resource support for Apache Kafka® maintenance
- Comprehensive Apache Kafka® monitoring
Capabilities.
- End-to-end producer to consumer algorithmic latency monitoring
- Partition distribution monitoring among brokers
- Continuous cluster monitoring coupled with recommendations for partition balancing
Final outcomes.
- Lower Total Cost of Ownership
- Increase Engineer Productivity From Simplified Apache Kafka® Usage
- Less Resources to Design, Install &
- Operate Apache Kafka®