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ghcr.io/kubeflow/kfp-persistence-agent:master
linux/amd64 ghcr.io M海M 贡献

Kubeflow Pipelines(KFP)的持久化代理镜像,负责将KFP流水线运行过程中的元数据、日志等信息持久化存储到指定的存储系统(如数据库)中,确保流水线的状态和结果数据不会丢失,支持后续对流水线运行记录的查询、管理和分析等操作。

25
浏览次数
109.24MB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master
源镜像
ghcr.io/kubeflow/kfp-persistence-agent:master
镜像ID
sha256:cbde6b686ca44d59b93667020093903eaa72b424fd9927c5f258c241c958f26a
镜像 TAG
master
镜像大小
109.24MB
平台架构
linux/amd64
镜像源
ghcr.io
CMD
/bin/sh -c persistence_agent --logtostderr=true --namespace=${NAMESPACE} --ttlSecondsAfterWorkflowFinish=${TTL_SECONDS_AFTER_WORKFLOW_FINISH} --numWorker ${NUM_WORKERS} --executionType ${EXECUTIONTYPE} --logLevel=${LOG_LEVEL} --imagePullFailureHandlingEnabled=${IMAGE_PULL_FAILURE_HANDLING_ENABLED} --imagePullFailureGracePeriodInSec=${IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC}
启动入口
工作目录
/bin
OS/平台
linux/amd64
镜像创建
2026-11-03T20:25:16.754452411Z
同步时间
2026-11-04 10:00
浏览量
25 次
贡献者
avatar M海M
⚙️ 环境变量 8
KeyValue
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NAMESPACE= 1
TTL_SECONDS_AFTER_WORKFLOW_FINISH=86400 2
NUM_WORKERS=2 3
LOG_LEVEL=info 4
EXECUTIONTYPE=Workflow 5
IMAGE_PULL_FAILURE_HANDLING_ENABLED=false 6
IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC=300 7
🏷️ 镜像标签 8
KeyValue
2026-11-03T20:23:03.613Z org.opencontainers.image.created
Machine Learning Pipelines for Kubeflow org.opencontainers.image.description
Apache-2.0 org.opencontainers.image.licenses
3f66a20e42b0e47149cc5520946dfc6a3a7c28b8 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
master org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master  ghcr.io/kubeflow/kfp-persistence-agent:master

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master  ghcr.io/kubeflow/kfp-persistence-agent:master

Shell快速替换命令

sed -i 's#ghcr.io/kubeflow/kfp-persistence-agent:master#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master#' 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-persistence-agent:master && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master  ghcr.io/kubeflow/kfp-persistence-agent:master'

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-persistence-agent:master && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master  ghcr.io/kubeflow/kfp-persistence-agent:master'

镜像构建历史


# 2026-11-04 04:25:16  0.00B 设置默认要执行的命令
CMD ["/bin/sh" "-c" "persistence_agent --logtostderr=true --namespace=${NAMESPACE} --ttlSecondsAfterWorkflowFinish=${TTL_SECONDS_AFTER_WORKFLOW_FINISH} --numWorker ${NUM_WORKERS} --executionType ${EXECUTIONTYPE} --logLevel=${LOG_LEVEL} --imagePullFailureHandlingEnabled=${IMAGE_PULL_FAILURE_HANDLING_ENABLED} --imagePullFailureGracePeriodInSec=${IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC}"]
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC
ENV IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC=300
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 IMAGE_PULL_FAILURE_HANDLING_ENABLED
ENV IMAGE_PULL_FAILURE_HANDLING_ENABLED=false
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 EXECUTIONTYPE
ENV EXECUTIONTYPE=Workflow
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 LOG_LEVEL
ENV LOG_LEVEL=info
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 NUM_WORKERS
ENV NUM_WORKERS=2
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 TTL_SECONDS_AFTER_WORKFLOW_FINISH
ENV TTL_SECONDS_AFTER_WORKFLOW_FINISH=86400
                        
# 2026-11-04 04:25:16  0.00B 设置环境变量 NAMESPACE
ENV NAMESPACE=
                        
# 2026-11-04 04:25:16  101.44MB 复制新文件或目录到容器中
COPY /bin/persistence_agent /bin/persistence_agent # buildkit
                        
# 2026-11-04 04:23:06  0.00B 设置工作目录为/bin
WORKDIR /bin
                        
# 2026-11-04 04:23:06  0.00B 指定运行容器时使用的用户
USER appuser
                        
# 2026-11-04 04:23:05  3.03KB 执行命令并创建新的镜像层
RUN /bin/sh -c adduser -S appuser # buildkit
                        
# 2026-10-22 04:47:19  0.00B 设置默认要执行的命令
CMD ["/bin/sh"]
                        
# 2026-10-22 04:47:19  7.79MB 复制文件或目录到容器中
ADD alpine-minirootfs-3.21.9-x86_64.tar.gz / # buildkit
                        
                    

镜像信息

{
    "Id": "sha256:cbde6b686ca44d59b93667020093903eaa72b424fd9927c5f258c241c958f26a",
    "RepoTags": [
        "ghcr.io/kubeflow/kfp-persistence-agent:master",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent:master"
    ],
    "RepoDigests": [
        "ghcr.io/kubeflow/kfp-persistence-agent@sha256:5caa6198f844d79f45287931f3faeb8067f720ee3eb111916fd3a069e3d936d4",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/kfp-persistence-agent@sha256:d86cc383ec4c7e143faa61c87a503f8e39ad4abf5b8192a5f70e8a1183a5eb95"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-11-03T20:25:16.754452411Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "appuser",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NAMESPACE=",
            "TTL_SECONDS_AFTER_WORKFLOW_FINISH=86400",
            "NUM_WORKERS=2",
            "LOG_LEVEL=info",
            "EXECUTIONTYPE=Workflow",
            "IMAGE_PULL_FAILURE_HANDLING_ENABLED=false",
            "IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC=300"
        ],
        "Cmd": [
            "/bin/sh",
            "-c",
            "persistence_agent --logtostderr=true --namespace=${NAMESPACE} --ttlSecondsAfterWorkflowFinish=${TTL_SECONDS_AFTER_WORKFLOW_FINISH} --numWorker ${NUM_WORKERS} --executionType ${EXECUTIONTYPE} --logLevel=${LOG_LEVEL} --imagePullFailureHandlingEnabled=${IMAGE_PULL_FAILURE_HANDLING_ENABLED} --imagePullFailureGracePeriodInSec=${IMAGE_PULL_FAILURE_GRACE_PERIOD_SEC}"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/bin",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2026-11-03T20:23:03.613Z",
            "org.opencontainers.image.description": "Machine Learning Pipelines for Kubeflow",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.revision": "3f66a20e42b0e47149cc5520946dfc6a3a7c28b8",
            "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": "master"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 109239130,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/b2bbc98c08040f7768a95f68efcb4379b16a888af6eac5a1e3a3e42ccb382608/diff:/var/lib/docker/overlay2/0e1bb2541173b3486145ff0c095e57e19fe6c3b8bcf360343ba6de5e2e1fad0a/diff:/var/lib/docker/overlay2/e7d3dcc8994f37143ac3bf8bab74113d2fcb7c06ede18906196148098536bed0/diff",
            "MergedDir": "/var/lib/docker/overlay2/0c7ab972edf0fec722e79f1ec8511e8d18daa7d5322c763aa1889f4c4ebcf148/merged",
            "UpperDir": "/var/lib/docker/overlay2/0c7ab972edf0fec722e79f1ec8511e8d18daa7d5322c763aa1889f4c4ebcf148/diff",
            "WorkDir": "/var/lib/docker/overlay2/0c7ab972edf0fec722e79f1ec8511e8d18daa7d5322c763aa1889f4c4ebcf148/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:41058dd4c122275500b8ee145e3ff1692ea26c7c568f55c00caf2878e7c61db0",
            "sha256:d83364696edd39cd03ab69eabb437c7ac79caf76fac6e3df617e9244ae9227da",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:f52e9541bbe8927f4dbd613b6bee25ce64b657d40fee60d32858bfec3fbe59b9"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-11-04T10:00:53.632807349+08:00"
    }
}

更多版本

ghcr.io/kubeflow/kfp-persistence-agent:2.16.0

linux/amd64 ghcr.io79.72MB2026-03-24 16:05
244

ghcr.io/kubeflow/kfp-persistence-agent:2.17.0

linux/amd64 ghcr.io76.21MB2026-07-15 17:44
158

ghcr.io/kubeflow/kfp-persistence-agent:2.5.0

linux/amd64 ghcr.io72.30MB2025-05-27 23:57
402

ghcr.io/kubeflow/kfp-persistence-agent:master

linux/amd64 ghcr.io109.24MB2026-11-04 10:00
24
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