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Service mesh is a fundamental technology for building cloud-nativeapplications, which ensures the stable running of a large number of services byan intermediate layer that governs communication between services. However,service mesh is not well suited for high-performance scenarios. The root causeis that the current service mesh is not suitable for the evolution ofcloud-native applications. On the one hand, the service mesh built on CPUcannot listen to communication bypassing the CPU. On the other hand, servicemesh includes many I/O-intensive and computationally-intensive tasks that canoverload CPU cores as traffic grows beyond CPU performance.  Therefore, we propose a data-centric service mesh that migrates the proxy ofthe service mesh to the entrance of the network. Moreover, we also design theDPU-centric FlatProxy, a data-centric service mesh based on DPU. There arethree advantages to the DPU-centric service mesh. Firstly, it takes over alltraffic flow in and out of the node, which expands the sense scale of theservice mesh from container to node. Secondly, it improves communicationperformance and reduces host resource usage by offloading some functions andoptimizing communication. Thirdly, it minimizes performance and security issuesthrough the physical isolation of business services and cloud infrastructure.  Compared with Envoy, the current mainstream service mesh implementation,FlatProxy reduces latency by 90\% and improves throughput by 4x in Gbps and 8xin qps, and it only occupies a small amount of CPU resources.

FlatProxy: A DPU-centric Service Mesh Architecture for Hyperscale Cloud-native Application