Leveraging Modern Network to Deliver Faster Storage to Database Workloads in Kubernetes

Achieving optimal performance for Stateful database workloads has typically required the use of local storage drives that limited orchestration frameworks from scaling these workloads across a networked infrastructure.  With the advancement of storage protocols, such as NVMe and NVMe-oF and networking technologies such as RDMA, RoCE, SmartNICs, it is now possible to achieve DAS-like performance over a network.  Through resource disaggregation, compute and storage can scale independently of each other with the ability to dynamically allocate storage capacity and performance to applications as needed. In this presentation, we will discuss advancements in networking and storage technologies and how they are blending together to address the demands of modern workloads and scheduling frameworks (such as Kubernetes).  In the hands-on session, we will demonstrate how to leverage RDMA/RoCEv2 and TCP to integrate & provision faster storage on Kubernetes platforms. 

Learning Objectives

Integrate and provision storage from within Kubernetes,Scale storage without additional management point,Local performance from Dis-aggregated storage