Replacing Kafka CDC complexity with a leaner Debezium and RabbitMQ architecture for an insurance carrier
RabbitMQDebezium
KubernetesAmerican National Insurance eliminated Kafka operational overhead from their CDC pipeline while maintaining full change capture capability and gaining more flexible message routing through RabbitMQ.
Overview
American National Insurance was running a Kafka-based change data capture (CDC) pipeline for SQL Server and evaluating whether Kafka remained the right tool for their messaging architecture. After a thorough assessment, AceMQ designed a replacement architecture using standalone Debezium publishing directly to RabbitMQ.
Challenge
Kafka introduced significant operational complexity for a CDC use case that did not require Kafka's core capabilities. Managing Kafka clusters, Kafka Connect, and associated operational overhead was disproportionate to the actual data volume and routing requirements.
Environment
SQL Server databases; Kafka Connect with Debezium for CDC; Kubernetes deployment; insurance company with compliance requirements.
Approach
AceMQ analyzed the CDC requirements and designed a standalone Debezium connector deployment that publishes change events directly to RabbitMQ exchanges. This eliminated the Kafka cluster dependency while preserving change capture capability and adding more flexible message routing through RabbitMQ's exchange and binding model.
Solution
- 1Kafka architecture assessment identifying unnecessary complexity for the CDC use case
- 2Standalone Debezium deployment design publishing directly to RabbitMQ
- 3SQL Server CDC configuration and connector tuning
- 4RabbitMQ exchange and binding design for change event routing
- 5Migration plan and cutover strategy from Kafka to the new architecture
Outcome
American National Insurance eliminated Kafka operational overhead from their CDC pipeline while maintaining full change capture capability and gaining more flexible message routing through RabbitMQ.
Technologies
RabbitMQDebeziumKubernetesRelated Use Cases
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