Since the v0.8.1 release, Dynamic DES has gained a declarative SimulationContext API, native Postgres and Redis ingress and egress connectors, and broader object storage support. This post walks through what changed and why the new builder pattern makes real-time digital twins far easier to write.

In Part 1, we built a contextual bandit prototype using Python and Mab2Rec. While effective for testing algorithms locally, a monolithic script cannot handle production scale. Real-world recommendation systems require low-latency inference for users and high-throughput training for model updates.

This post demonstrates how to decouple these concerns using an event-driven architecture with Apache Flink, Kafka, and Redis.