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changed the roadmap and setup links #400

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Aug 7, 2023
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changed the roadmap and setup links #400

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4 changes: 2 additions & 2 deletions blog/cncf-sandbox-announcement/index.mdx
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Expand Up @@ -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.

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4 changes: 2 additions & 2 deletions i18n/zh/docusaurus-plugin-content-blog/cncf-sandbox-announcement/index.mdx
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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.

Expand Down