
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
I'm using the official Docker repository. Please visit https://github.com/docker-library/docker for more information.
1. Amazon ECR Docker Credential Helper
The Amazon ECR Docker Credential Helper is a credential helper for the Docker daemon that makes it easier to use Amazon EC2 Container Registry (ECR).
The AECH (Amazon ECR Docker Credential Helper) is baked into this Docker in Docker image.
If you want to know how the Credential Helper works and what else it needed to use the helper successfully, please visit https://github.com/awslabs/amazon-ecr-credential-helper.
Remember to set the AWS environment variables.
2. HashiCorp Terraform
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Please visit [***] for more information.
We will always build the latest version of Terraform.
The latest 0.11.x binary is available under /usr/local/bin/terraform0.11.
3. AWS Command Line Interface
The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. Please visit [***] for more information.
4. kubectl - The Kubernetes command-line tool
The Kubernetes command-line tool, kubectl, allows you to run commands against Kubernetes clusters. You can use kubectl to deploy applications, inspect and manage cluster resources, and view logs.
5. cli53 - Command line tool for Amazon Route 53
cli53 provides import and export from BIND format and simple command line management of Route 53 domains. Please visit https://github.com/barnybug/cli53 for more information.
6. aws-env - Secure way to handle environment variables in Docker
aws-env is a small utility that tries to solve problem of passing environment variables to applications in a secure way, especially in a Docker containers. It uses AWS Parameter Store to securely store applications' configuration -- ideal for storing all kind of secrets. Please visit https://github.com/Droplr/aws-env for more information.
Add something like the following to your .gitlab-ci.yml:
Deploy to Docker Compose
before_script: - eval $(ssh-agent) && setup_ssh.sh s3-bucket/path/to/your/private_ssh_key script: - deploy_to_docker.sh "deploy/app.yml" "user@host"
The Docker compose file cannot be named docker-compose.ymlbecause the filename will be used to namespace the service names.
Specify your S3 bucket without 's3://'.
Deploy to Docker Swarm
before_script: - eval $(ssh-agent) && setup_ssh.sh s3-bucket/path/to/your/private_ssh_key script: - deploy_to_swarm.sh "app-name" "user@swarm.host" [ssm/path/to/your/credentials]
Specify your S3 bucket without 's3://'.
Deploy to Kubernetes (K8s)
before_script: - aws s3 cp s3://path-to-your-k8s/config ~/.kube - export NAMESPACE=live script: - deploy_to_kubernetes.sh k8s
The "k8s" in deploy_to_kubernetes.sh k8s is either a file or directory to your K8s manifests.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。





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