How to Synchronize Data Across Microservices

The data landscape has grown increasingly demanding and crowded in the last few years, with many platforms competing to offer the best processing and storage options. Tech consumers expect companies to deliver high-speed data processing while simultaneously offering a variety of adaptable solutions that work with traditional applications but also built for modern architecture like microservices. A monolithic framework guarantees data consistency, which is important when adopting a microservice architecture. Redis Enterprise offers two options for data synchronization: sharing datasets across microservices and transferring data between them. The former relies on conflict-free replicated data types, ensuring strong eventual consistency, while the latter employs Pub/Sub, Lists, Sorted Sets or Streams to facilitate event-based architectures. Redis Enterprise is highly available, durable, multi-tenant and Kubernetes supported, with cloud and on-premises options, making it an ideal database solution for microservice architecture.

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