From 59e43ca0f881d9e64d42ffad0b50ea9c1f71e7e9 Mon Sep 17 00:00:00 2001 From: shivangrawat30 Date: Mon, 7 Aug 2023 02:09:41 +0530 Subject: [PATCH] changed the links Signed-off-by: shivangrawat30 --- blog/cncf-sandbox-announcement/index.mdx | 4 ++-- .../cncf-sandbox-announcement/index.mdx | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/blog/cncf-sandbox-announcement/index.mdx b/blog/cncf-sandbox-announcement/index.mdx index 7cea91ee78..5194935485 100644 --- a/blog/cncf-sandbox-announcement/index.mdx +++ b/blog/cncf-sandbox-announcement/index.mdx @@ -114,12 +114,12 @@ The installation is simple and can be done in few steps: - Clone and Build KubeEdge Cloud and Edge - Run Cloud - Run Edge -- The detailed steps for each are available at [KubeEdge Setup](https://docs.kubeedge.io/en/latest/setup/setup.html) +- The detailed steps for each are available at [KubeEdge Setup](https://kubeedge.io/docs/category/setup) ## **Future: Taking off with competent features and community collaboration** KubeEdge has been developed by members from the community who are active contributors to Kubernetes/CNCF and doing research in edge computing. The KubeEdge team is also actively collaborating with Kubernetes IOT/EDGE WORKING GROUP. Within a few months of the KubeEdge announcement it has attracted members from different organizations including JingDong, Zhejiang University, SEL Lab, Eclipse, China Mobile, ARM, Intel to collaborate in building the platform and ecosystem. -KubeEdge has a clear [roadmap](https://docs.kubeedge.io/en/latest/getting-started/roadmap.html) for its upcoming major releases in 2019. v1.0 targets to provide a complete edge cluster and device management solution with standard edge to edge communication, while v2.0 targets to have advanced features like service mesh, function service , data analytics etc at edge. Also, for all the features, KubeEdge architecture would attempt to utilize the existing CNCF projects/software. +KubeEdge has a clear [roadmap](https://kubeedge.io/docs/roadmap) for its upcoming major releases in 2019. v1.0 targets to provide a complete edge cluster and device management solution with standard edge to edge communication, while v2.0 targets to have advanced features like service mesh, function service , data analytics etc at edge. Also, for all the features, KubeEdge architecture would attempt to utilize the existing CNCF projects/software. The KubeEdge community needs varied organizations, their requirements, use cases and support to build it. Please join to make a kubernetes native edge computing platform which can extend the cloud native computing paradigm to edge cloud. diff --git a/i18n/zh/docusaurus-plugin-content-blog/cncf-sandbox-announcement/index.mdx b/i18n/zh/docusaurus-plugin-content-blog/cncf-sandbox-announcement/index.mdx index 88a1aa87ec..7de3762825 100644 --- a/i18n/zh/docusaurus-plugin-content-blog/cncf-sandbox-announcement/index.mdx +++ b/i18n/zh/docusaurus-plugin-content-blog/cncf-sandbox-announcement/index.mdx @@ -113,12 +113,12 @@ The installation is simple and can be done in few steps: - Clone and Build KubeEdge Cloud and Edge - Run Cloud - Run Edge -- The detailed steps for each are available at [KubeEdge Setup](https://docs.kubeedge.io/en/latest/setup/setup.html) +- The detailed steps for each are available at [KubeEdge Setup](https://kubeedge.io/docs/category/setup) ## **Future: Taking off with competent features and community collaboration** KubeEdge has been developed by members from the community who are active contributors to Kubernetes/CNCF and doing research in edge computing. The KubeEdge team is also actively collaborating with Kubernetes IOT/EDGE WORKING GROUP. Within a few months of the KubeEdge announcement it has attracted members from different organizations including JingDong, Zhejiang University, SEL Lab, Eclipse, China Mobile, ARM, Intel to collaborate in building the platform and ecosystem. -KubeEdge has a clear [roadmap](https://docs.kubeedge.io/en/latest/getting-started/roadmap.html) for its upcoming major releases in 2019. v1.0 targets to provide a complete edge cluster and device management solution with standard edge to edge communication, while v2.0 targets to have advanced features like service mesh, function service , data analytics etc at edge. Also, for all the features, KubeEdge architecture would attempt to utilize the existing CNCF projects/software. +KubeEdge has a clear [roadmap](https://kubeedge.io/docs/roadmap) for its upcoming major releases in 2019. v1.0 targets to provide a complete edge cluster and device management solution with standard edge to edge communication, while v2.0 targets to have advanced features like service mesh, function service , data analytics etc at edge. Also, for all the features, KubeEdge architecture would attempt to utilize the existing CNCF projects/software. The KubeEdge community needs varied organizations, their requirements, use cases and support to build it. Please join to make a kubernetes native edge computing platform which can extend the cloud native computing paradigm to edge cloud.