SEI Investments has been transitioning from a monolithic database architecture to a containerized, event-driven services platform using technologies like Confluent Platform and Apache Kafka since 2017. This shift began with replacing database triggers with Kafka for change data capture (CDC) and has evolved to streaming dozens of applications, allowing the company to meet various business needs such as audit alerts, real-time client data delivery, and system integration. Key to this evolution is the use of Kafka for capturing database events, transforming them into business events, and leveraging the Confluent Schema Registry for data governance. This transformation facilitates breaking down the monolith into modular microservices, enhancing system integration, and offering new business opportunities. Confluent Schema Registry ensures schema evolution is managed effectively, fostering seamless application development and integration. As SEI continues to develop their event streaming capabilities, they aim to further capitalize on their modular architecture to innovate and expand their service offerings.