Within the Kubernetes ecosystem, storage remains one of the greatest challenges. Why?Because traditional storage was not built for Kubernetes, and many storage solutions are simply not up to the challenges of monolithic and microservices-based applications running in dynamic Kubernetes environment.Explore the challenges of application data management. Learn how an AI/ML storage architecture can complement Kubernetes by matching its simplicity, scale and flexibility, so that non-storage admins can quickly deploy persistent volumes in a self-service model. Discover composable storage that provides dynamic volumes mapped to Kubernetes namespaces and orchestrated according to Kubernetes, PVCs to not only work in a Kubernetes environment, but actually optimize it.