
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。
Maintained by:
https://github.com/elastic/logstash
Where to get help:
the Logstash Discuss Forums and the Elastic community.
Dockerfile linkshttps://github.com/elastic/dockerfiles/blob/d3f7abab***dd73b839511b9041d18f8e7de2a/logstash/Dockerfile
https://github.com/elastic/dockerfiles/blob/bc45b0a40d0cf09bb9bb229a6ce6947f3f5ccbf4/logstash/Dockerfile
https://github.com/elastic/dockerfiles/blob/6245ba340217b06d8c51bd***e90914604bb/logstash/Dockerfile
Where to file issues:
For issues with Logstash Docker Image or Logstash: https://github.com/elastic/logstash/issues
Supported architectures: (https://github.com/docker-library/official-images#architectures-other-than-amd64)
https://hub.docker.com/r/amd64/logstash/, https://hub.docker.com/r/arm64v8/logstash/
Published image artifact details:
https://github.com/docker-library/repo-info/blob/master/repos/logstash (https://github.com/docker-library/repo-info/commits/master/repos/logstash)
(image metadata, transfer size, etc)
Image updates:
https://github.com/docker-library/official-images/issues?q=label%3Alibrary%2Flogstash
https://github.com/docker-library/official-images/blob/master/library/logstash (https://github.com/docker-library/official-images/commits/master/library/logstash)
Source of this description:
https://github.com/docker-library/docs/tree/master/logstash (https://github.com/docker-library/docs/commits/master/logstash)
Logstash is an open source data collection engine with real-time pipelining capabilities. Logstash can dynamically unify data from disparate sources and normalize the data into destinations of your choice.
Collection is accomplished via a number of configurable input plugins including raw socket/packet communication, file tailing and several message bus clients. Once an input plugin has collected data it can be processed by any number of filters which modify and annotate the event data. Finally, events are routed to output plugins which can forward the events to a variety of external programs including Elasticsearch, local files and several message bus implementations.
For more information about Logstash, please visit [***]
!https://raw.githubusercontent.com/docker-library/docs/0ec96bc990cb13028308932386c3820d0de5d3c1/logstash/logo.png
This default distribution is governed by the Elastic License and includes the full set of free features.
View the detailed release notes here.
Not the version you're looking for? View all supported past releases.
Note: Pulling an image requires using a specific version number tag. The latest tag is not supported.
For Logstash versions prior to 6.4.0, a full list of images, tags, and documentation can be found at docker.elastic.co.
For full Logstash documentation see here.
For instructions specifically related to running the Docker image, see this section of the Logstash documentation.
View https://github.com/elastic/logstash/blob/6.4/licenses/ELASTIC-LICENSE.txt for the software contained in this image.
As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).
Some additional license information which was able to be auto-detected might be found in https://github.com/docker-library/repo-info/tree/master/repos/logstash.
As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.
以下是 logstash 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。
来自真实用户的反馈,见证轩辕镜像的优质服务