Merge branch 'DaoCloud:main' into main

.github/workflows/sync-image.yml

@@ -52,7 +52,7 @@ jobs:
 
     - name: Set up crproxy
       run: |
-        wget https://github.com/DaoCloud/crproxy/releases/download/v0.13.0-alpha.154/crproxy_linux_amd64 -O /usr/local/bin/crproxy && chmod +x /usr/local/bin/crproxy
+        wget https://github.com/DaoCloud/crproxy/releases/download/v0.13.0-alpha.174/crproxy_linux_amd64 -O /usr/local/bin/crproxy && chmod +x /usr/local/bin/crproxy
 
     - name: Create message to queue
       id: get-message
@@ -95,6 +95,6 @@ jobs:
           fi
         ) &
         
-        /usr/local/bin/crproxy cluster runner ${{ secrets.STORAGE_ARGS }} --user '${{ secrets.OCI_USER }}' --queue-token '${{ secrets.QUEUE_TOKEN }}' --queue-url https://queue.m.daocloud.io/apis/v1 --duration 10s --retry=3 --retry-interval=2s &
+        /usr/local/bin/crproxy cluster runner ${{ secrets.NEW_STORAGE_ARGS }} --user '${{ secrets.OCI_USER }}' --queue-token '${{ secrets.QUEUE_TOKEN }}' --queue-url https://queue.m.daocloud.io/apis/v1 --duration 10s --retry=3 --retry-interval=2s &
 
         wait

.github/workflows/sync-runner.yml

@@ -13,8 +13,8 @@ jobs:
     steps:
       - name: Set up crproxy
         run: |
-          wget https://github.com/DaoCloud/crproxy/releases/download/v0.13.0-alpha.154/crproxy_linux_amd64 -O /usr/local/bin/crproxy && chmod +x /usr/local/bin/crproxy
+          wget https://github.com/DaoCloud/crproxy/releases/download/v0.13.0-alpha.174/crproxy_linux_amd64 -O /usr/local/bin/crproxy && chmod +x /usr/local/bin/crproxy
 
       - name: Sync Runner
         run: |
-          /usr/local/bin/crproxy cluster runner ${{ secrets.STORAGE_ARGS }} --user '${{ secrets.OCI_USER }}' --queue-token '${{ secrets.QUEUE_TOKEN }}' --queue-url https://queue.m.daocloud.io/apis/v1 --duration 1h --retry=3 --retry-interval=2s
+          /usr/local/bin/crproxy cluster runner ${{ secrets.NEW_STORAGE_ARGS }} --user '${{ secrets.OCI_USER }}' --queue-token '${{ secrets.QUEUE_TOKEN }}' --queue-url https://queue.m.daocloud.io/apis/v1 --duration 1h --retry=3 --retry-interval=2s

README.md

@@ -83,26 +83,34 @@ docker.m.daocloud.io/library/busybox
 | docker.io               | docker.m.daocloud.io          |                                       |
 | gcr.io                  | gcr.m.daocloud.io             |                                       |
 | ghcr.io                 | ghcr.m.daocloud.io            |                                       |
-| k8s.gcr.io              | k8s-gcr.m.daocloud.io         | k8s.gcr.io 已被迁移到 registry.k8s.io |
+| k8s.gcr.io              | k8s-gcr.m.daocloud.io         | k8s.gcr.io 已被迁移到 registry.k8s.io  |
 | registry.k8s.io         | k8s.m.daocloud.io             |                                       |
 | mcr.microsoft.com       | mcr.m.daocloud.io             |                                       |
 | nvcr.io                 | nvcr.m.daocloud.io            |                                       |
 | quay.io                 | quay.m.daocloud.io            |                                       |
+| registry.ollama.ai      | ollama.m.daocloud.io          | 实验内测中，[使用方法](#加速-ollama--deepseek)     |
 
 ## 最佳实践
 
-* 通过 加速 安装 kubeadm
+### 加速 Kubneretes
+
+#### 加速安装 kubeadm
 ``` bash
 kubeadm config images pull --image-repository k8s-gcr.m.daocloud.io
 ```
 
-* 通过 加速 安装 kind
+#### 加速安装 kind
 
 ``` bash
 kind create cluster --name kind --image m.daocloud.io/docker.io/kindest/node:v1.22.1
 ``` 
 
-* Docker 加速
+#### 加速 Containerd
+
+* 参考 Containerd 官方文档: [hosts.md](https://github.com/containerd/containerd/blob/main/docs/hosts.md#registry-host-namespace)
+* 如果您使用 kubespray 安装 containerd, 可以配置 [`containerd_registries_mirrors`](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/CRI/containerd.md#containerd-config)
+
+### 加速 Docker
 
 添加到 `/etc/docker/daemon.json`
 ``` json
@@ -113,6 +121,40 @@ kind create cluster --name kind --image m.daocloud.io/docker.io/kindest/node:v1.
 }
 ```
 
+### 加速 Ollama & DeepSeek
+
+#### 加速安装 Ollama
+
+CPU:
+```bash
+docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama docker.m.daocloud.io/ollama/ollama
+```
+
+GPU 版本:
+1. 首先安装 Nvidia Container Toolkit
+2. 运行以下命令启动 Ollama 容器：
+
+```bash
+docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama docker.m.daocloud.io/ollama/ollama
+```
+
+更多信息请参考：
+* [Ollama Docker 官方文档](https://ollama.com/blog/ollama-is-now-available-as-an-official-docker-image)
+
+#### 加速使用 Deepseek-R1 模型（实验内测中）
+
+如上述步骤，在启动了ollama容器的前提下，还可以通过加速源，加速启动DeepSeek相关的模型服务
+
+注：目前 Ollama 官方源的下载速度已经很快，您也可以直接使用[官方源](https://ollama.com/library/deepseek-r1:1.5b)。
+
+```bash
+# 使用加速源
+docker exec -it ollama ollama run ollama.m.daocloud.io/library/deepseek-r1:1.5b
+
+# 或直接使用官方源下载模型
+# docker exec -it ollama ollama run deepseek-r1:1.5b
+```
+
 ## [友情链接]加速三剑客
 
 * 镜像加速：https://github.com/DaoCloud/public-image-mirror

allows.txt

@@ -33,6 +33,8 @@ docker.io/apachepulsar/*
 docker.io/apicurio/*
 docker.io/apitable/*
 docker.io/apolloconfig/*
+docker.io/appbaseio/dejavu
+docker.io/approachingai/*
 docker.io/appsmith/appsmith-ce
 docker.io/appsmith/appsmith-ee
 docker.io/aquasec/*
@@ -63,6 +65,8 @@ docker.io/bytelang/kplayer
 docker.io/calciumion/new-api
 docker.io/calico/*
 docker.io/camunda/zeebe
+docker.io/cars10/elasticvue
+docker.io/casbin/casdoor
 docker.io/certbot/*
 docker.io/chaosbladeio/chaosblade-box
 docker.io/charlie0129/bupt-net-login
@@ -181,6 +185,7 @@ docker.io/graylog/graylog-datanode
 docker.io/greenbone/*
 docker.io/guacamole/*
 docker.io/gztime/gzctf
+docker.io/hacdias/webdav
 docker.io/hakuyyf/tensorrtx
 docker.io/halohub/halo
 docker.io/hanxi/xiaomusic
@@ -242,9 +247,9 @@ docker.io/jupyterhub/*
 docker.io/justsong/one-api
 docker.io/jxxghp/*
 docker.io/k8scloudprovider/*
+docker.io/kanidm/*
 docker.io/karmada/*
-docker.io/kasmweb/chrome
+docker.io/kasmweb/*
-docker.io/kasmweb/core-ubuntu-focal
 docker.io/keelhq/keel
 docker.io/keking/kkfileview
 docker.io/kennethreitz/*
@@ -255,6 +260,7 @@ docker.io/klakegg/hugo
 docker.io/koalaman/shellcheck
 docker.io/koenkk/zigbee2mqtt
 docker.io/koide3/direct_visual_lidar_calibration
+docker.io/koishijs/koishi
 docker.io/kong/*
 docker.io/kserve/*
 docker.io/kubeedge/*
@@ -269,6 +275,7 @@ docker.io/kubeskoop/*
 docker.io/kubesphere/*
 docker.io/kubespheredev/ksv-installer
 docker.io/kusionstack/*
+docker.io/langflowai/langflow
 docker.io/langfuse/*
 docker.io/langgenius/*
 docker.io/langhuihui/monibuca
@@ -442,6 +449,7 @@ docker.io/loggieio/loggie
 docker.io/longhornio/*
 docker.io/louislam/*
 docker.io/mageai/mageai
+docker.io/mailserver/*
 docker.io/mattermost/focalboard
 docker.io/maxkeytop/*
 docker.io/menci/archlinuxarm
@@ -558,6 +566,7 @@ docker.io/redash/*
 docker.io/redis/*
 docker.io/redislabs/*
 docker.io/redroid/redroid
+docker.io/reportportal/reportportal
 docker.io/resmoio/kubernetes-event-exporter
 docker.io/ribbybibby/ssl-exporter
 docker.io/rockylinux/rockylinux
@@ -586,6 +595,7 @@ docker.io/senthilrch/*
 docker.io/serengil/deepface
 docker.io/sickcodes/docker-osx
 docker.io/sj26/mailcatcher
+docker.io/slskd/slskd
 docker.io/snowdreamtech/frpc
 docker.io/snowdreamtech/frps
 docker.io/solace/solace-pubsub-standard
@@ -686,6 +696,7 @@ gcr.io/**
 ghcr.io/actions/**
 ghcr.io/advplyr/audiobookshelf
 ghcr.io/ajnart/homarr
+ghcr.io/amamba-io/**
 ghcr.io/analogj/scrutiny
 ghcr.io/anduin2017/how-to-cook
 ghcr.io/apache/**
@@ -731,6 +742,7 @@ ghcr.io/grafana/*
 ghcr.io/hassio-addons/**
 ghcr.io/helm/**
 ghcr.io/home-assistant/**
+ghcr.io/huaweiclouddeveloper/**
 ghcr.io/huggingface/*
 ghcr.io/hwameistor/**
 ghcr.io/imagegenius/immich