Elastic Stack (ELK) Docker Composition, preconfigured with Security, Monitoring, and Tools; Up with a Single Command.
Suitable for Demoing, MVPs and small production deployments.
Stack Version: 8.10.2 🎉 - Based on Official Elastic Docker Images
You can change Elastic Stack version by setting
ELK_VERSION
in.env
file and rebuild your images. Any version >= 8.0.0 is compatible with this template.
make collect-docker-logs
..env
to configure your entire stack parameters.And comparing Elastdocker and the popular deviantony/docker-elk
<details><summary>Expand...</summary> <p>One of the most popular ELK on Docker repositories is the awesome deviantony/docker-elk.
Elastdocker differs from deviantony/docker-elk
in the following points.
Security enabled by default using Basic license, not Trial.
Persisting data by default in a volume.
Run in Production Mode (by enabling SSL on Transport Layer, and add initial master node settings).
Persisting Generated Keystore, and create an extendable script that makes it easier to recreate it every-time the container is created.
Parameterize credentials in .env instead of hardcoding elastich:changeme
in every component config.
Parameterize all other Config like Heap Size.
Add recommended environment configurations as Ulimits and Swap disable to the docker-compose.
Make it ready to be extended into a multinode cluster.
Configuring the Self-Monitoring and the Filebeat agent that ship ELK logs to ELK itself. (as a step to shipping it to a monitoring cluster in the future).
Configured Prometheus Exporters.
The Makefile that simplifies everything into some simple commands.
Clone the Repository
git clone https://github.com/sherifabdlnaby/elastdocker.git
Initialize Elasticsearch Keystore and TLS Self-Signed Certificates
$ make setup
For Linux's docker hosts only. By default virtual memory is not enough so run the next command as root
sysctl -w vm.max_map_count=262144
Start Elastic Stack
$ make elk <OR> $ docker-compose up -d <OR> $ docker compose up -d
Visit Kibana at https://localhost:5601 or https://<your_public_ip>:5601
Default Username: elastic
, Password: changeme
- Notice that Kibana is configured to use HTTPS, so you'll need to write
https://
beforelocalhost:5601
in the browser.- Modify
.env
file for your needs, most importantlyELASTIC_PASSWORD
that setup your superuserelastic
's password,ELASTICSEARCH_HEAP
&LOGSTASH_HEAP
for Elasticsearch & Logstash Heap Size.
Whatever your Host (e.g AWS EC2, Azure, DigitalOcean, or on-premise server), once you expose your host to the network, ELK component will be accessible on their respective ports. Since the enabled TLS uses a self-signed certificate, it is recommended to SSL-Terminate public traffic using your signed certificates.
🏃🏻♂️ To start ingesting logs, you can start by running
make collect-docker-logs
which will collect your host's container logs.
$ make monitoring
$ make collect-docker-logs
$ make all
$ make nodes
$ make build
$ make down
</p> </details>$ make prune
.env
file.
ELASTIC_PASSWORD
, user elastic
's password (default: changeme
pls).ELK_VERSION
Elastic Stack Version (default: 8.10.2
)ELASTICSEARCH_HEAP
, how much Elasticsearch allocate from memory (default: 1GB -good for development only-)LOGSTASH_HEAP
, how much Logstash allocate from memory.elasticsearch.yml
at ./elasticsearch/config
.logstash.yml
at ./logstash/config/logstash.yml
.main.conf
at ./logstash/pipeline/main.conf
.kibana.yml
at ./kibana/config
.You can extend the Keystore generation script by adding keys to ./setup/keystore.sh
script. (e.g Add S3 Snapshot Repository Credentials)
To Re-generate Keystore:
make keystore
⚠️ Elasticsearch HTTP layer is using SSL, thus mean you need to configure your elasticsearch clients with the CA
in secrets/certs/ca/ca.crt
, or configure client to ignore SSL Certificate Verification (e.g --insecure
in curl
).
Adding Two Extra Nodes to the cluster will make the cluster depending on them and won't start without them again.
Makefile is a wrapper around Docker-Compose
commands, use make help
to know every command.
Elasticsearch will save its data to a volume named elasticsearch-data
Elasticsearch Keystore (that contains passwords and credentials) and SSL Certificate are generated in the ./secrets
directory by the setup command.
Make sure to run make setup
if you changed ELASTIC_PASSWORD
and to restart the stack afterwards.
For Linux Users it's recommended to set the following configuration (run as root
)
sysctl -w vm.max_map_count=262144
By default, Virtual Memory is not enough.
After completing the setup step, you will notice a container named apm-server which gives you deeper visibility into your applications and can help you to identify and resolve root cause issues with correlated traces, logs, and metrics.
In order to authenticate with Elastic APM, you will need the following:
ELASTIC_APM_SECRET_TOKEN
defined in .env
file as we have secret token enabled by default8200
const apm = require('elastic-apm-node').start({
serviceName: 'foobar',
secretToken: process.env.ELASTIC_APM_SECRET_TOKEN,
// https is enabled by default as per elastdocker configuration
serverUrl: 'https://localhost:8200',
})
Make sure that the agent is started before you require any other modules in your Node.js application - i.e. before express, http, etc. as mentioned in Elastic APM Agent - NodeJS initialization
For more details or other languages you can check the following:
Head to Stack Monitoring tab in Kibana to see cluster metrics for all stack components.
In Production, cluster metrics should be shipped to another dedicated monitoring cluster.
If you started Prometheus Exporters using make monitoring
command. Prometheus Exporters will expose metrics at the following ports.
Prometheus Exporter | Port | Recommended Grafana Dashboard |
---|---|---|
elasticsearch-exporter | 9114 | Elasticsearch by Kristian Jensen |
logstash-exporter | 9304 | logstash-monitoring by dpavlos |
MIT License Copyright (c) 2022 Sherif Abdel-Naby
PR(s) are Open and
AI小说写作助手,一站式润色、改写、扩写
蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。
字节跳动发布的AI编程神器IDE
Trae是一种自适应的集成开发环 境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。
全能AI智能助手,随时解答生活与工作的多样问题
问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。
实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
一键生成PPT和Word,让学习生活更轻松
讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。
深度推理能力全新升级,全面对标OpenAI o1
科大讯飞的星火大模型,支持语言理解、 知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。
一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型
Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。
AI助力,做PPT更简单!
咔片是一款轻量化在线演示设计工具,借助 AI 技术,实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT,提供海量模板、智能美化、素材替换等功能,适用于销售、教师、学生等各类人群,能高效制作出高品质 PPT,满足不同场景演示需求。
选题、配图、成文,一站式创作,让内容运营更高效
讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。
专业的AI公文写作平台,公文写作神器
AI 材料星,专业的 AI 公文写作辅助平台,为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核 心 AI 功能,支持 30 + 文稿类型生成,助力快速完成领导讲话、工作总结、述职报告等材料,提升办公效率,是体制打工人的得力写作神器。
最新AI工具、AI资讯
独家AI资源、AI项目落地
微信扫一扫关注公众号