Overcoming the Challenges of Deploying a Microservices Data Layer on Kubernetes

Microservices architecture can be a game-changer for business agility and incremental application modernization. With the acceleration of digital transformations throughout the pandemic, the motivation to re-platform as cloud-native microservices has never been higher - especially with the need for applications 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 said they already used microservices and 66% were leveraging Kubernetes. It might all sound great for microservices; however, the same enterprises also identified that microservices only account for 17% of their application portfolio due to a litany of data management issues when deploying at scale.

Join us as we explore how Redis Enterprise real-time data platform helps navigate the tradeoffs and complexities of deploying at scale including a demonstration of a retail-banking microservices deployment using the Redis Enterprise Operator for Kubernetes on Red Hat OpenShift.

Key Takeaways:
- Microservices architecture can be a game-changer for beating the competition to market by embracing application and data layer modernization
- Enterprises are adopting microservice architectures however are feeling the pain of managing, administering and deploying at scale
- Redis Enterprise helps overcome the tradeoffs and complexities of deploying microservices at scale on Kubernetes