镜像详情
docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9
基本信息
已同步| 原始地址 | docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9 |
|---|---|
| 架构 | linux/amd64 |
| 同步地址 | swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64 |
| 状态 | 已同步 公开 |
| 镜像大小 | 11.1 MB |
| Digest | sha256:f7ed92f1e5c511a4ffcf266851db8ddedb45d87d861ced63f3bcfe62b1731051 |
| Image ID | sha256:2635ad6e71aa288fa3c8d5a9f0381059744b571aecb00bed8e70e02a8a683efd |
| 创建时间 | 2026-01-14 08:56 |
| 同步时间 | 2026-01-14 08:56 |
快捷命令
Docker 拉取
docker pull swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64
docker tag swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64 docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9 Containerd 拉取
ctr images pull swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64
ctr images tag swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64 docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9 Shell 快速替换
sed -i 's#docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9#swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64#' deployment.yaml Ansible 分发 (Docker)
ansible k8s -m shell -a 'docker pull swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64'
ansible k8s -m shell -a 'docker tag swr.cn-east-3.myhuaweicloud.com/itho/docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9-amd64 docker.io/rancher/mirrored-cluster-proportional-autoscaler:v1.8.9'详细信息
Manifest
{
"schemaVersion": 2,
"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
"config": {
"mediaType": "application/vnd.docker.container.image.v1+json",
"size": 2811,
"digest": "sha256:2635ad6e71aa288fa3c8d5a9f0381059744b571aecb00bed8e70e02a8a683efd"
},
"layers": [
{
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"digest": "sha256:dd5ad9c9c29f04b41a0155c720cf5ccab28ef6d353f1fe17a06c579c70054f0a"
},
{
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"size": 20322,
"digest": "sha256:960043b8858c3c30f1d79dcc49adb2804fd35c2510729e67685b298b2ca746b7"
},
{
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"size": 599551,
"digest": "sha256:b4ca4c215f483111b64ec6919f1659ff475d7080a649d6acd78a6ade562a4a63"
},
{
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"size": 284,
"digest": "sha256:eebb06941f3e57b2e40a0e9cbd798dacef9b04d89ebaa8896be5f17c976f8666"
},
{
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"size": 188,
"digest": "sha256:02cd68c0cbf64abe9738767877756b33f50fff5d88583fdc74b66beffa77694b"
},
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 112,
"digest": "sha256:d3c894b5b2b0fa857549aeb6cbc38b038b5b2828736be37b6d9fff0b886f12fd"
},
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 382,
"digest": "sha256:b40161cd83fc5d470d6abe50e87aa288481b6b89137012881d74187cfbf9f502"
},
{
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"size": 345,
"digest": "sha256:46ba3f23f1d3fb1440deeb279716e4377e79e61736ec2227270349b9618a0fdd"
},
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 122108,
"digest": "sha256:4fa131a1b726b2d6468d461e7d8867a2157d5671f712461d8abd126155fdf9ce"
},
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 20261,
"digest": "sha256:4cd1019da5bdcce8cb491cebb72805dcf096d4e00d91a9b7f9901a40524a1121"
},
{
"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
"size": 10755939,
"digest": "sha256:40f840b0a76a74747cdf8ef483d8f126f108151447225c393e69713f02fc4082"
}
]
}