diff --git a/content/en/service-mesh/_index.md b/content/en/service-mesh/_index.md index 8e810abff..d1dcbeee7 100644 --- a/content/en/service-mesh/_index.md +++ b/content/en/service-mesh/_index.md @@ -6,7 +6,7 @@ css: "scss/scenario.scss" section1: title: KubeSphere Service Mesh provides a simpler distribution of Istio with consolidated UX. - content: If you’re running and scaling microservices on Kubernetes, it’s time to adopt the istio-based service mesh for your distributed system. We design a unified UI to integrate and manage tools including Istio, Envoy and Jaeger. + content: If you’re running and scaling microservices on Kubernetes, it’s time to adopt the Istio-based service mesh for your distributed system. We design a unified UI to integrate and manage tools including Istio, Envoy and Jaeger. image: /images/service-mesh/banner.jpg image: /images/service-mesh/service-mesh.jpg @@ -20,9 +20,9 @@ section2: summary: contentList: - content: Canary release provides canary rollouts and staged rollouts with percentage-based traffic splits - - content: Blue-green deployment allows the new version of the application to be deployed in the green environment and tested for functionality and performance - - content: Traffic mirroring enables teams to bring changes to production with as few risks as possible - - content: Circuit breakers allow users to set limits for calls to individual hosts within a service + - content: Blue-green deployment allows the new version of an application to be deployed in a separate environment and tested for functionality and performance + - content: Traffic mirroring is a powerful, risk-free method of testing your app versions as it sends a copy of live traffic to a mirrored Service + - content: Circuit breakers allow users to set limits for calls to individual hosts within a Service - title: Visualization image: /images/service-mesh/visualization.png @@ -31,7 +31,7 @@ section2: - title: Distributed Tracing image: /images/service-mesh/distributed-tracing.png - summary: Based on Jaeger, KubeSphere enables users to track how each service interacts with other services. It brings a deeper understanding about request latency, bottlenecks, serialization and parallelism via visualization. + summary: Based on Jaeger, KubeSphere enables users to track how each Service interacts with each other. It brings a deeper understanding about request latency, bottlenecks, serialization and parallelism via visualization. contentList: section3: diff --git a/content/zh/service-mesh/_index.md b/content/zh/service-mesh/_index.md index e582565c0..4f307729c 100644 --- a/content/zh/service-mesh/_index.md +++ b/content/zh/service-mesh/_index.md @@ -5,40 +5,40 @@ layout: "scenario" css: "scss/scenario.scss" section1: - title: KubeSphere Service Mesh provides a simpler distribution of Istio with consolidated UX. - content: If you’re running and scaling microservices on Kubernetes, it’s time to adopt the istio-based service mesh for your distributed system. We design a unified UI to integrate and manage tools including Istio, Envoy and Jaeger. + title: KubeSphere 基于 Istio 微服务框架提供可视化的微服务治理功能,全面提升用户体验 + content: 如果您在 Kubernetes 上运行和伸缩微服务,您可以为您的分布式系统配置基于 Istio 的微服务治理功能。KubeSphere 提供统一的操作界面,便于您集成并管理各类工具,包括 Istio、Envoy 和 Jaeger 等。 image: /images/service-mesh/banner.jpg image: /images/service-mesh/service-mesh.jpg bg: /images/service-mesh/28.svg section2: - title: What Makes KubeSphere Service Mesh Special + title: KubeSphere 独特的微服务治理功能 list: - - title: Traffic Management + - title: 流量治理 image: /images/service-mesh/traffic-management.png summary: contentList: - - content: Canary release provides canary rollouts and staged rollouts with percentage-based traffic splits - - content: Blue-green deployment allows the new version of the application to be deployed in the green environment and tested for functionality and performance - - content: Traffic mirroring enables teams to bring changes to production with as few risks as possible - - content: Circuit breakers allow users to set limits for calls to individual hosts within a service + - content: 金丝雀发布提供灵活的灰度策略,将流量按照所配置的比例转发至当前不同的灰度版本 + - content: 蓝绿部署支持零宕机部署,让应用程序可以在独立的环境中测试新版本的功能和特性 + - content: 流量镜像模拟生产环境,将实时流量的副本发送给被镜像的服务 + - content: 熔断机制支持为服务设置对单个主机的调用限制 - - title: Visualization + - title: 虚拟化 image: /images/service-mesh/visualization.png - summary: Observability is extremely useful in understanding cloud-native microservice interconnections. KubeSphere has the ability to visualize the connections between microservices and the topology of how they interconnect. + summary: 可观察性有助于了解云原生微服务之间的关系。KubeSphere 支持可视化界面,直接地呈现微服务之间的拓扑关系,并提供细粒度的监控数据。 contentList: - - title: Distributed Tracing + - title: 分布式链路追踪 image: /images/service-mesh/distributed-tracing.png - summary: Based on Jaeger, KubeSphere enables users to track how each service interacts with other services. It brings a deeper understanding about request latency, bottlenecks, serialization and parallelism via visualization. + summary: KubeSphere 基于 Jaeger 让用户追踪服务之间的通讯,以虚拟化的方式使用户更深入地了解请求延迟、性能瓶颈、序列化和并行调用等。 contentList: section3: - title: See KubeSphere Service Mesh In Action + title: 观看 KubeSphere 微服务治理工作流操作演示 videoLink: https://www.youtube.com/embed/EkGWtwcsdE4 - content: Want to get started in action by following the hands-on lab? - btnContent: Start Hands-on Lab + content: 想自己动手体验实际操作? + btnContent: 开始动手实验 link: https://kubesphere.com.cn/docs/pluggable-components/service-mesh/ bgLeft: /images/service-mesh/3-2.svg bgRight: /images/service-mesh/3.svg