Deploying a Microservice Data Layer on Kubernetes

Microservice architectures can be a game-changer for business agility and incremental application modernization. The pandemic and the current business climate have accelerated the motivation to re-platform legacy apps as cloud-native however, so have the challenges as modern applications need to respond in real time. According to IDC’s InfoBrief “The Impact of Application Modernization on the Data Layer”, 89% of the 300 North American enterprises surveyed already use microservices, and 66% leveraged Kubernetes. That might all sound great for microservices. However, the same enterprises also said microservices only accounted for 17% of their application portfolio due to a litany of data management issues when deploying at scale. We explore how Redis Enterprise, the real-time data platform, helps navigate the trade-offs and complexities of deploying at scale including a demonstration of a retail-banking microservice deployment using the Redis Enterprise Operator for Kubernetes on Red Hat OpenShift. Key Takeaways: ·         Learn best practices for building microservices leveraging a real-time data layer ·         How DevOps teams can easily manage, administer and deploy Redis clusters on Kubernetes ·         The critical capabilities of cloud-native Redis Enterprise make it the ideal data platform for real-time microservice-based applications