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Readme.md

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* Detailed explanations of Kubernetes resource fields, ensuring no ambiguity about the number of options and their meanings.Official documentation with clickable links.
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* Integration of official examples in a directory tree format, allowing easy browsing, reference, and field copying.
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* Support efficient editing of YAML resources, enabling writing YAML fields on one side of the page while referring to field definitions at the same time.
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* Generation of Yaml using a large model.
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* Problem analysis using a large model.
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* Security checks using a large model.
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* Dynamic display of resource usage (requires installation of the metric server).
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* Integration of page functionalities such as kubectl describe, kubectl explain, kubectl top and other high-frequency commands. These can be accessed with a simple click on the user interface.
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* Support displaying corresponding Service and Ingress on the Pod page, and support displaying backend Pods on the Service and Ingress pages.
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* Generation of Yaml 、Problem analysis、Security checks using a large model.
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* Display resource usage dynamically (requires installation of metric server), and support viewing detailed statistical data* Integration of page functionalities such as kubectl describe, kubectl explain, kubectl top and other high-frequency commands. These can be accessed with a simple click on the user interface.
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* Inspection functionality added to the cluster page, conducting common error checks on major resource objects and providing detailed lists.
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* Supports Chinese, English, as well as French, German, Italian, Russian, Spanish, French, Japanese, Korean, and 12 languages.
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## ☀️ License
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### x86 Run
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Note: When using Docker Desktop, you need to handle the access domain address of the API server yourself. Ensure that it is accessible within the Docker environment.
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```docker
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.8
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.9
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```
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### ARM Run (Mac M1/2/3)
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```docker
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.8-arm
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.9-arm
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```
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* View:http://IP:4000 (!Do not use 127.0.0.1/localhost!)

Readme_cn.md

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* 详细的k8s资源字段解释,再也不用担心不知道这个字段有几个选项、都是什么意思了。可链接访问官方文档。
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* 官方示例集成,以目录树的形式呈现k8s官方示例,可以随时浏览参考,复制字段了。
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* 支持高效编辑资源Yaml,在一个页面内可以一边写yaml字段,一边查字段定义了。
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* 大模型生成yaml
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* 大模型问题分析
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* 大模型安全检测
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* 资源用量动态展示(需安装metric server)
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* 支持Pod页面关联显示对应的Service、Ingress,支持Service、Ingress页面展示后端Pod。
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* 大模型生成yaml、大模型问题分析、大模型安全检测。
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* 资源用量动态展示(需安装metric server),支持统计数据详情查看。
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* 页面功能集成kubectl describe、kubectl explain、kubectl top等高频命令,使用界面点击即可查看。
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* 集群页面增加巡检功能,对主要资源对象的常见错误进行巡检,并给出明细列表
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* 集群页面增加巡检功能,对主要资源对象的常见错误进行巡检,并给出巡检结果明细列表
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* 支持中文、英文以及法语、德语、意大利语、俄语、西班牙语、法语、日语、韩语等12国语言。
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## ☀️ 授权协议
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使用docker-desktop需要自行处理apiserver的访问域名地址,请确保在docker内可访问
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### X86架构环境
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```docker
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.8
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.9
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```
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### ARM Run (Mac M1/2/3等ARM架构)
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```docker
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.8-arm
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docker run -it --rm -v ~/.kube/:/root/.kube/ -p 4000:8080 ghcr.io/weibaohui/blazork8s:0.1.9-arm
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```
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* 访问:http://IP:4000 (!不要使用 127.0.0.1/localhost!)

build.sh

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#docker buildx build -t ghcr.io/weibaohui/blazork8s:0.0.8 -f BlazorApp/Dockerfile --platform=linux/arm64,linux/amd64 . --push
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#arm
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docker build -t ghcr.io/weibaohui/blazork8s:0.1.8-arm -f BlazorApp/Dockerfile .
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docker push ghcr.io/weibaohui/blazork8s:0.1.8-arm
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docker build -t ghcr.io/weibaohui/blazork8s:0.1.9-arm -f BlazorApp/Dockerfile .
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docker push ghcr.io/weibaohui/blazork8s:0.1.9-arm

deploy/deployment.yaml

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spec:
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containers:
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- name: blazork8s
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image: ghcr.io/weibaohui/blazork8s:0.1.8
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image: ghcr.io/weibaohui/blazork8s:0.1.9
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env:
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# - name: ASPNETCORE_ENVIRONMENT
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# value: "Development"

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