In today’s interconnected digital landscape, building resilient and scalable applications often means embracing microservices. While microservices offer immense benefits in terms of agility and independent deployment, they introduce a significant challenge: managing distributed transactions. When a single business operation spans multiple services, ensuring atomicity and consistency becomes complex. This is where Distributed Sagas, enhanced by Event Sourcing and powered by technologies like Kafka and Temporal.io, come into play.

In today’s hyper-connected digital world, businesses demand immediate insights to stay competitive. Traditional batch processing for data warehousing, with its inherent delays, is no longer sufficient. Real-time data warehousing, driven by Change Data Capture (CDC), has emerged as a critical capability, enabling organizations to react instantly to evolving data. This article explores how combining Debezium and Kafka Streams creates a robust and scalable architecture for real-time CDC, transforming how data moves from operational databases to analytical data warehouses.