Microservices architectures are dominating application development, with 89% of North American enterprise respondents using them, according to IDC's InfoBrief on The Impact of Application Modernization on the Data Layer. This trend is driven by enterprises' need for rapid app development, deployment, and updates to meet changing customer and business requirements. Despite this momentum, microservices adoption adds complexity, particularly in managing the data layer, with nearly half of enterprise apps relying on a database but citing database management as a top-three challenge. To address these challenges, developers must select the right data model, choose a lightweight and tunable database platform that supports multiple data models, and deploy it in a flexible manner to optimize performance and reliability. Redis Enterprise is well-suited for microservice deployments, offering high-performance, sub-millisecond latency, instant scalability, fault tolerance, and automated failover, as well as a unified operational interface to limit technology sprawl and simplify operations.