如何使用kubernetes部署路由流体服务器（流体框架）？
一天的问候！
我想使用kubernetes部署开源流体服务器aka routerlicious 。在流体官方存储库中 https://github.com/microsoft/FluidFramework
on the following path
https://github.com/microsoft/FluidFramework/tree/main/server/routerlicious/kubernetes
routerlicious is packaged as Helm chart。
我的问题是，除了Azure之外，还可以将此舵图部署到其他云中吗？
是否可以在本地主机上配置基本组件？
我过去一直在尝试很多，但我无法找到一种方法。我迫切需要帮助。
我想尝试使用Routericious来获取某些应用程序想法。
Greetings for the day!
I want to deploy the open-source fluid server a.k.a routerlicious using the Kubernetes. Inside the fluid official repositoryhttps://github.com/microsoft/FluidFramework
on the following path
https://github.com/microsoft/FluidFramework/tree/main/server/routerlicious/kubernetes
routerlicious is packaged as Helm chart.
My question is, Is it possible to deploy this helm chart to some other cloud than the Azure?
And is it possible to configure the base components on the local host?
I have been trying a lot in the past but I couldn't figure out a way. I desperately need help on this.
I want to experiment with the routerlicious for some application ideas.
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答案是肯定的。 K8S对任何云提供商都是不可知论的，或任何本地K8实现（例如（
minikube，k3s，and code> and code> kent））。同样，答案是肯定的，但是您需要记住，您可能无法拥有所有资源，例如，您不能拥有LB，但是您可以使用 METALLB
The answer is yes. K8S is agnostic to any cloud provider, or any local K8S implementations like (
minikube,k3s,kindetc).Again, the answer is yes but you need to keep in mind that you might not be able to have all the resources, for example, you cannot have LB but you can simulate it with tools like minikube tunnel, MetalLB