Overview
The customer is a global fintech company processing high-volume payments across a messaging stack that includes both Kafka and RabbitMQ. AceMQ provides ongoing L3 support and architecture guidance for their messaging infrastructure.
Challenge
At payment-processing volumes, even small configuration issues or performance bottlenecks in the messaging layer can cascade into payment processing delays. The customer needed expert support covering both Kafka and RabbitMQ with rapid incident response and architecture guidance as transaction volumes continue to grow.
Environment
Cloud / Kubernetes; Kafka for event streaming; RabbitMQ for transactional messaging; high-throughput production workload; global fintech payments.
Approach
AceMQ delivers ongoing L3 support with direct engineer access, covering both Kafka and RabbitMQ. The engagement includes reactive incident support, proactive performance reviews, and architecture advisory as the customer scales its payments platform.
Solution
- L3 support agreement covering Kafka and RabbitMQ under a unified SLA
- Load testing support and validation for high-throughput payment workloads
- Proactive performance monitoring and capacity planning
- Architecture advisory for scaling beyond current transaction volumes
- Cross-technology incident support for issues at the Kafka–RabbitMQ boundary
Outcome
The customer operates its high-throughput payments infrastructure with AceMQ as their messaging expert, enabling rapid incident response and continuous architecture improvement to support growing transaction volumes.
Technologies
Kafka
RabbitMQ
IBM MQ
Debezium
Kubernetes
Amazon EKS
Docker
Spring AMQP
