
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。
https://vector.dev • https://vector.dev/docs/ • https://vector.dev/community/ • https://github.com/timberio/vector
Vector is an https://github.com/timberio/vector utility for building observability pipelines. https://vector.dev/docs/reference/sources/, https://vector.dev/docs/reference/transforms/, and https://vector.dev/docs/reference/sinks/ log, metrics and events with one simple tool.
Built in https://www.rust-lang.org/, Vector places high-value on https://vector.dev/#performance, https://vector.dev/#correctness, and https://vector.dev/docs/administration/. It compiles to a single static binary and is designed to be https://vector.dev/docs/setup/deployment/ across your entire infrastructure, serving as a light-weight https://vector.dev/docs/setup/deployment/strategies/#daemon, https://vector.dev/docs/setup/deployment/strategies/#sidecar, or highly efficient https://vector.dev/docs/setup/deployment/strategies/#service. Take back ownership and control of your observability data with Vector.
Vector is maintained by Datadog's https://opensource.datadoghq.com/about/#the-community-open-source-engineering-team.
As shown above, you can pass a custom
https://vector.dev/docs/setup/configuration/ via the -c flag. You'll want
to do this since the
https://github.com/timberio/vector/blob/master/config/vector.toml
doesn't do anything.
How you deploy Vector is largely dependent on your use case and environment. Please see the https://vector.dev/docs/setup/deployment/ for more info on how to deploy Vector.
Simply run with newer version in the tag:
bashdocker pull timberio/vector:X.X.X-alpine && \ docker run timberio/vector:X.X.X-alpine
See the variants and versions sections to choose the appropriate image for your use case.
alpine
This image is based on the https://hub.docker.com/_/alpine, which is a Linux distribution built around musl libc and BusyBox. It is ***ably smaller in size than other Docker images and statically links libraries. This is the image we recommend due to it's small size and reliability.
bashdocker run timberio/vector:0.10.0-alpine
debian
This image is based on the https://hub.docker.com/_/debian, which is a smaller, more compact variant of the https://hub.docker.com/_/debian.
bashdocker run timberio/vector:0.10.0-debian
distroless-*
https://github.com/GoogleContainerTools/distroless is a base docker image based on either stripping down an OS, or building the key parts from scratch. It contains only the barest of essentials for running a static or dynamically linked binary.
distroless-static uses the statically linked musl x86 build distroless-libc uses a dynamically linked build which leverages libc provided by distroless/base/cc
Vector's images are multi-arch and support the x86_64, ARM64, and ARMv7 architectures. Docker handles this transparently for you.
Vector's Docker images can be downloaded with the following tags. Note that Vector maintains special tags that are automatically updated whenever Vector is https://vector.dev/releases/latest/:
| Version | URL |
|---|---|
| Latest major | timberio/vector:latest-alpine |
| Latest minor | timberio/vector:<MAJOR>.X-alpine |
| Latest patch | timberio/vector:<MAJOR.MINOR>.X-alpine |
| Specific version | timberio/vector:<MAJOR.MINOR.PATCH>-alpine |
| Latest nightly | timberio/vector:nightly-alpine |
| Specific nightly | timberio/vector:nightly-<YYYY-MM-DD>-alpine |
Vector's Docker source files are located https://github.com/timberio/vector/tree/master/distribution/docker.
以下是 timberio/vector 相关的常用 Docker 镜像,适用于 不同场景 等不同场景:
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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