Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Mall | 64,353 | 2 days ago | 32 | apache-2.0 | Java | |||||
mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。 | ||||||||||
Docker Elk | 14,804 | 7 days ago | 6 | mit | Shell | |||||
The Elastic stack (ELK) powered by Docker and Compose. | ||||||||||
Mall Learning | 11,780 | 25 days ago | 24 | apache-2.0 | Java | |||||
mall学习教程,架构、业务、技术要点全方位解析。mall项目(50k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot 2.3.0、MyBatis 3.4.6、Elasticsearch 7.6.2、RabbitMQ 3.7.15、Redis 5.0、MongoDB 4.2.5、Mysql5.7等技术,采用Docker容器化部署。 | ||||||||||
Mall Swarm | 9,716 | 3 months ago | 35 | apache-2.0 | Java | |||||
mall-swarm是一套微服务商城系统,采用了 Spring Cloud 2021 & Alibaba、Spring Boot 2.7、Oauth2、MyBatis、Docker、Elasticsearch、Kubernetes等核心技术,同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全,附带全套Spring Cloud教程。 | ||||||||||
Elasticsearch Dump | 6,775 | 65 | 12 | 10 days ago | 285 | September 22, 2022 | apache-2.0 | JavaScript | ||
Import and export tools for elasticsearch | ||||||||||
Cerebro | 5,231 | a day ago | 201 | mit | JavaScript | |||||
Elasticsearch Hq | 4,827 | a year ago | 77 | other | JavaScript | |||||
Monitoring and Management Web Application for ElasticSearch instances and clusters. | ||||||||||
Blog_demos | 3,491 | a day ago | 164 | apache-2.0 | Java | |||||
CSDN博客专家程序员欣宸的github,这里有六百多篇原创文章的详细分类和汇总,以及对应的源码,内容涉及Java、Docker、Kubernetes、DevOPS等方面 | ||||||||||
Helk | 3,433 | 2 years ago | 37 | gpl-3.0 | Jupyter Notebook | |||||
The Hunting ELK | ||||||||||
Javacollection | 2,700 | 2 years ago | 3 | |||||||
Java开源项目之「自学编程之路」:学习指南+面试指南+资源分享+技术文章 |
Some typical docker compose examples.
If you're not familiar with Docker, can have a look at these books (in CN):
$ curl -sSL https://get.docker.com/ | sh
$ sudo pip install docker-compose
See Docker Compose Documentation.
Using consul to make a service-discoverable architecture.
ELK example.
Elk cluster, with netflow support.
docker-compose scale es=3
A simple haproxy and web applications cluster.
Quickly bootup a hyperledger fabric cluster with several validator nodes, without vagrant or any manual configuration.
Now we support from v0.6 to v1.0.x.
See hyperledger_fabric for more details.
Start a simple kafka service for testing.
Deploy nginx, mysql, php + wordpress.
Start 3 mongo instance to make a replica set.
Start mongo (as cluster) and elasticsearch, use a mongo-connector to sync the data from mongo to elasticsearch.
Start 1 mongo instance and a mongo-express web tool to watch it.
The mongo instance will store data into local /opt/data/mongo_home.
The web UI will listen on local 8081 port.
Use nginx as a proxy with authentication for backend application.
Demo the packetbeat, elasticsearch and kibana.
Some kibana dashboard config files are included.
To import them, after all containers startup, go inside the kibana container, and run
$ cd /kibana/beats-dashboards-1.0.1 && ./load.sh http://elasticsearch:9200
A redis serer and a redis client (send a PING to the server).
docker registry mirror, with redis as the backend cache.
Spark cluster with master and worker nodes.
docker-compose scale worker=2
Try submitting a test pi application using the spark-submit command.
/urs/local/spark/bin/spark-submit --master spark://master:7077 --class org.apache.spark.examples.SparkPi /usr/local/spark/lib/spark-examples-1.4.0-hadoop2.6.0.jar 1000