Project Icon

graylog-docker

Graylog的Docker镜像,集中化日志管理解决方案

Graylog Docker镜像为amd64和arm64平台提供集中化日志管理解决方案。基于Eclipse Temurin构建,该镜像集成了Graylog核心功能和Integrations插件,支持日志聚合、搜索、查询语言、数据转换和告警功能。通过环境变量配置,用户可快速部署并灵活管理日志系统,适用于各种规模的企业。

Graylog Docker Image

Docker Stars Docker Pulls

The latest stable version of Graylog is 6.0.5.

What is Graylog?

Graylog is a centralized logging solution that enables aggregating and searching through logs. It provides a powerful query language, a processing pipeline for data transformation, alerting abilities, and much more. It is fully extensible through a REST API. Add-ons can be downloaded from the Graylog Marketplace.

Image Details

There are images for the linux/amd64 and linux/arm64 platforms available. All images are based on the latest Eclipse Temurin image (JRE + Ubuntu LTS variant) available at build time.

graylog/graylog

This is the open source Graylog image. It contains Graylog as well as the Integrations plugin.

Java VersionPlatformTags
OpenJDK 17linux/amd64, linux/arm646.0, 6.0.5, 6.0.5-1

Note: There is no 'latest' tag. You'll need to specify which version you want.

graylog/graylog-enterprise

This is the Graylog Enterprise image. It contains Graylog, the Graylog Enterprise plugin, the Integrations plugin, and the Enterprise Integrations plugin.

Java VersionPlatformTags
OpenJDK 17linux/amd64, linux/arm646.0, 6.0.5, 6.0.5-1

graylog/graylog-forwarder

This image runs the Graylog Forwarder. Documentation on the Forwarder can be found here.

The latest stable version is 6.0, with support for Java 17 on platform linux/amd64 and linux/arm64.

Java VersionPlatformTags
OpenJDK 17linux/amd64, linux/arm646.0, forwarder-6.0-2

Architecture

Take a look at the minimal Graylog architecture to get the big picture of a Graylog setup. In essence, Graylog needs to talk to MongoDB to store configuration data as well as Elasticsearch to store the actual log data.

Configuration

Please refer to the Graylog Docker documentation for a comprehensive overview and detailed description of the Graylog Docker image.

If you want to quickly spin up an instance for testing, you can use our Docker Compose template.

Notably, this image requires that two important configuration options be set (although in practice you will likely need to set more):

  1. password_secret (environment variable GRAYLOG_PASSWORD_SECRET)
    • A secret that is used for password encryption and salting.
    • Must be at least 16 characters, however using at least 64 characters is strongly recommended.
    • Must be the same on all Graylog nodes in the cluster.
    • May be generated with something like: pwgen -N 1 -s 96
  2. root_password_sha2 (environment variable GRAYLOG_ROOT_PASSWORD_SHA2)
    • A SHA2 hash of a password you will use for your initial login as Graylog's root user.
      • The default username is admin. This value is customizable via configuration option root_username (environment variable GRAYLOG_ROOT_USERNAME).
    • In general, these credentials will only be needed to initially set up the system or reconfigure the system in the event of an authentication backend failure.
    • This password cannot be changed using the API or via the Web interface.
    • May be generated with something like: echo -n "Enter Password: " && head -1 </dev/stdin | tr -d '\n' | sha256sum | cut -d" " -f1

Every Graylog configuration option can be set via environment variable. To get the environment variable name for a given configuration option, simply prefix the option name with GRAYLOG_ and put it all in upper case. Another option is to store the configuration file outside of the container and edit it directly.

This image includes the wait-for-it script, which allows you to have Docker wait for Elasticsearch to start up before starting Graylog. For example, if you are using Docker Compose you could override the entrypoint for Graylog like this:

entrypoint: /usr/bin/tini -- wait-for-it elasticsearch:9200 -- /docker-entrypoint.sh

Documentation

Documentation for Graylog is hosted here. Please read through the docs and familiarize yourself with the functionality before opening an issue on GitHub.

License

Graylog itself is licensed under the Server Side Public License (SSPL), see license information.

This Docker image is licensed under the Apache 2.0 license, see LICENSE.

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

白日梦AI

白日梦AI提供专注于AI视频生成的多样化功能,包括文生视频、动态画面和形象生成等,帮助用户快速上手,创造专业级内容。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

讯飞绘镜

讯飞绘镜是一个支持从创意到完整视频创作的智能平台,用户可以快速生成视频素材并创作独特的音乐视频和故事。平台提供多样化的主题和精选作品,帮助用户探索创意灵感。

Project Cover

讯飞文书

讯飞文书依托讯飞星火大模型,为文书写作者提供从素材筹备到稿件撰写及审稿的全程支持。通过录音智记和以稿写稿等功能,满足事务性工作的高频需求,帮助撰稿人节省精力,提高效率,优化工作与生活。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号