ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0 linux/amd64

ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0 - 国内下载镜像源 浏览次数:15

该镜像 ghcr.io/kubeflow/kfp-metadata-envoy 是 Kubeflow Pipelines (KFP) 的元数据 Envoy 代理。它负责将 Kubeflow Pipelines 的运行元数据转发到指定的元数据存储。 这使得 Kubeflow Pipelines 能够追踪和管理运行历史、实验结果等信息。

源镜像 ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0
镜像ID sha256:b3f7878ba3dfa6e12334c29b436f125752475530a8bf0cb3018587efa3d19464
镜像TAG 2.5.0
大小 254.13MB
镜像源 ghcr.io
CMD /etc/envoy.yaml
启动入口 /usr/local/bin/envoy -c
工作目录
OS/平台 linux/amd64
浏览量 15 次
贡献者 24*******3@qq.com
镜像创建 2025-04-28T19:21:37.250138467Z
同步时间 2025-05-27 23:53
更新时间 2025-05-30 20:43
开放端口
10000/tcp
环境变量
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin DEBIAN_FRONTEND=noninteractive
镜像标签
2025-04-28T19:21:26.451Z: org.opencontainers.image.created Machine Learning Pipelines for Kubeflow: org.opencontainers.image.description Apache-2.0: org.opencontainers.image.licenses ubuntu: org.opencontainers.image.ref.name 64e8264352b6e3981e0e64e2156864468cf156cc: org.opencontainers.image.revision https://github.com/kubeflow/pipelines: org.opencontainers.image.source pipelines: org.opencontainers.image.title https://github.com/kubeflow/pipelines: org.opencontainers.image.url 2.5.0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0  ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0  ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0

Shell快速替换命令

sed -i 's#ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0  ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0  ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0'

镜像构建历史


# 2025-04-29 03:21:37  0.00B 设置默认要执行的命令
CMD ["/etc/envoy.yaml"]
                        
# 2025-04-29 03:21:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/bin/envoy" "-c"]
                        
# 2025-04-29 03:21:37  220.54KB 复制新文件或目录到容器中
COPY third_party/metadata_envoy/license.txt /third_party/license.txt # buildkit
                        
# 2025-04-29 03:21:37  3.25KB 复制新文件或目录到容器中
COPY third_party/metadata_envoy/envoy.yaml /etc/envoy.yaml # buildkit
                        
# 2025-04-29 03:21:37  105.94MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y &&   apt-get install --no-install-recommends -y -q gettext openssl # buildkit
                        
# 2024-02-10 03:58:23  0.00B 复制新文件或目录到容器中
COPY /usr/local/bin/envoy.* /usr/local/bin/ # buildkit
                        
# 2024-02-10 03:58:23  68.46MB 复制新文件或目录到容器中
COPY /usr/local/bin/envoy /usr/local/bin/envoy # buildkit
                        
# 2024-02-10 03:58:23  0.00B 定义构建参数
ARG ENVOY_BINARY_PREFIX=
                        
# 2024-02-10 03:58:23  0.00B 定义构建参数
ARG ENVOY_BINARY=envoy
                        
# 2024-02-10 03:58:23  18.74KB 复制新文件或目录到容器中
COPY /usr/local/bin/utils/su-exec /usr/local/bin/ # buildkit
                        
# 2024-02-10 03:58:23  750.00B 复制新文件或目录到容器中
COPY /docker-entrypoint.sh / # buildkit
                        
# 2024-02-10 03:58:23  1.82KB 复制新文件或目录到容器中
COPY /etc/envoy/envoy.yaml /etc/envoy/envoy.yaml # buildkit
                        
# 2024-02-10 03:58:23  6.64MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get -qq update     && apt-get -qq upgrade -y     && apt-get -qq install --no-install-recommends -y ca-certificates     && apt-get -qq autoremove -y # buildkit
                        
# 2024-02-10 03:57:53  7.00B 复制文件或目录到容器中
ADD VERSION.txt /etc/envoy # buildkit
                        
# 2024-02-08 01:33:03  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/docker-entrypoint.sh"]
                        
# 2024-02-08 01:33:03  37.71KB 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /etc/envoy     && adduser --group --system envoy # buildkit
                        
# 2024-02-08 01:33:03  0.00B 设置默认要执行的命令
CMD ["envoy" "-c" "/etc/envoy/envoy.yaml"]
                        
# 2024-02-08 01:33:03  0.00B 声明容器运行时监听的端口
EXPOSE map[10000/tcp:{}]
                        
# 2024-02-08 01:33:03  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-01-23 21:01:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-01-23 21:01:04  72.81MB 
/bin/sh -c #(nop) ADD file:4b4e122c96445546ef9fba44a4eae6ada6239edecb9eea2c807a83abaebad451 in / 
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-01-23 21:01:02  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:b3f7878ba3dfa6e12334c29b436f125752475530a8bf0cb3018587efa3d19464",
    "RepoTags": [
        "ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0"
    ],
    "RepoDigests": [
        "ghcr.io/kubeflow/kfp-metadata-envoy@sha256:bf1892c62f23ae5948c4bd72e49bfb21e5649da0a566fea6011ae3ff728418cc",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-metadata-envoy@sha256:bf1892c62f23ae5948c4bd72e49bfb21e5649da0a566fea6011ae3ff728418cc"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-04-28T19:21:37.250138467Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "10000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive"
        ],
        "Cmd": [
            "/etc/envoy.yaml"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/usr/local/bin/envoy",
            "-c"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-04-28T19:21:26.451Z",
            "org.opencontainers.image.description": "Machine Learning Pipelines for Kubeflow",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "64e8264352b6e3981e0e64e2156864468cf156cc",
            "org.opencontainers.image.source": "https://github.com/kubeflow/pipelines",
            "org.opencontainers.image.title": "pipelines",
            "org.opencontainers.image.url": "https://github.com/kubeflow/pipelines",
            "org.opencontainers.image.version": "2.5.0"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 254128970,
    "GraphDriver": {
        "Data": {
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            "MergedDir": "/var/lib/docker/overlay2/41971fe26fcaa10219621e0ad5e8d1ef123faeb8bf345cf717e84366f08dc0e8/merged",
            "UpperDir": "/var/lib/docker/overlay2/41971fe26fcaa10219621e0ad5e8d1ef123faeb8bf345cf717e84366f08dc0e8/diff",
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    "Metadata": {
        "LastTagTime": "2025-05-27T23:53:39.646509242+08:00"
    }
}

更多版本

ghcr.io/kubeflow/kfp-metadata-envoy:2.5.0

linux/amd64 ghcr.io254.13MB2025-05-27 23:53
14