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Revolutionizing Service Mesh with Kernel-Native Sidecarless Architecture | 用内核原生无边车架构彻底改变服务网格 – Xin Liu, Huawei Technologies Co., Ltd.
Service mesh technology has revolutionized service governance among microservices, but as clusters expand, challenges arise. Proxy programs can strain resources, with memory consumption reaching GB levels and CPU overhead peaking at 30%. Furthermore, this expansion often leads to noticeable delays in microservice access. This call for proposals seeks to address these challenges head-on by exploring innovative solutions within the kernel-native sidecarless service mesh framework. We invite submissions that delve into: Efficient Resource Management: Novel strategies to minimize memory consumption and CPU overhead in proxy programs, ensuring optimal resource utilization. Latency Optimization: Techniques to reduce microservice access latency without compromising on service governance effectiveness. Real-world Implementations: Case studies or examples showcasing successful deployments of kernel-native sidecarless service mesh in diverse environments.
服务网格技术已经在微服务之间的服务治理方面发生了革命，但随着集群的扩大，也带来了挑战。代理程序可能会消耗资源，内存消耗可能达到GB级别，CPU开销可能达到30%。此外，这种扩展通常会导致微服务访问出现明显的延迟。 本次征集旨在通过探索内核本地无边车服务网格框架中的创新解决方案来直面这些挑战。 我们邀请提交以下内容的提案： 高效资源管理：采用新颖策略来最小化代理程序的内存消耗和CPU开销，确保资源的最佳利用。 延迟优化：通过技术手段减少微服务访问延迟，同时不影响服务治理的有效性。 实际应用：展示在不同环境中成功部署内核本地无边车服务网格的案例研究或示例。
