Deploying a Microservice Data Layer on Kubernetes

Overcoming the Challenges of Deploying a Microservice Data Layer on Kubernetes

Microservices architectures can be a game-changer for business agility and incremental application modernization. The pandemic has accelerated the motivation to replatform legacy apps as cloud-native microservices; 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 are already using microservices and 66% leveraged Kubernetes. That might all sound great for microservices but 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 real-time data platform helps navigate the trade-offs 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:

  • 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 key capabilities of cloud-native Redis Enterprise that make it the ideal data platform for real-time microservices-based applications

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Event Speakers

Allen Terleto

Author Image of RedisBank