Getting Started Series: Deploying a Microservice Data Layer on Kubernetes

Presented by

Allen Terleto, Field CTO, Redis & Lars Rosenquist, Manager Partner Solution Architects, Redis

About this talk

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
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Redis makes apps faster, by creating a data foundation for a real-time world. It is the driving force behind Open-Source Redis, the world’s most loved in-memory database, and commercial provider of Redis Enterprise, a real time data platform. Redis Enterprise powers real-time services for over 8,000 organizations globally. It builds upon the unmatched simplicity and speed of Open-Source Redis along with an enterprise grade data platform that offers robustness of modern data models, management, automation, performance and resiliency to deploy and run modern applications at any scale from anywhere on the planet.