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HeCG08's Projects

canvas-nest.js icon canvas-nest.js

:cancer: Interactive Particle / Nest System With JavaScript and Canvas, Do not Depends on jQuery.

cim icon cim

基于Java服务端的即时通信解决方案,与android 客户端完美结合,同时支持其他语言的移动应用,物联网,智能家居,桌面应用,WEB应用以及后台系统之间的即时消交互,为你解决了长连接各种消息事件,断线重连等繁琐的处理,使用方便易于集成。

cloud-note icon cloud-note

基于分布式的云笔记(参考某道云笔记),数据存储在redis与hbase中

cobar icon cobar

基于MySQL的分布式数据库服务中间件

cs-notes icon cs-notes

:books: Computer Science Learning Notes

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

davinci icon davinci

Davinci is a DVaaS (Data Visualization as a Service) Platform

docker_practice icon docker_practice

Learn and understand Docker technologies, with real DevOps practice!

drools icon drools

Drools Expert is the rule engine and Drools Fusion does complex event processing (CEP).

falcon-plus icon falcon-plus

An open-source and enterprise-level monitoring system.

flycloud icon flycloud

FlyClould 微服务实战项目框架,在该框架中,包括了用 Spring Cloud 构建微服务的一系列基本组件和框架,对于后台服务框架的搭建有很大的参考价值,大家可以参考甚至稍加修改可以直接应用于自己的实际的项目开发中,该项目没有采用Maven进行项目构建,Maven通过xml进行依赖管理,导致整个配置文件太过臃肿,另外灵活性也不是很强,所以我采用Gradle进行项目构建和依赖管理,在FlyTour项目中我们见证了Gradle的强大,通过简单的一些配置就可以轻松的实现组件化的功能。该项目共有11个Moudle工程。其中10个位微服务工程,这10个微服务工程构成了一个完整的微服务系统,微服务系统包含了8个基础服务,提供了一整套微服务治理功能,他们分别是配置中心moudle_config、注册中心moudle_eureka、认证授权中心moudle_uaa、Turbine聚合监控服务moudle_monitor、链路追踪服务moudle_zipken、聚合监控服务moudle_admin、路由网关服务moudle_gateway、日志服务moudle_log。另外还包含了两个资源服务:用户服务moudle_user和blog服务moudle_blog,另外还有一个common的Moudle,为资源服务提供一些一本的工具类

framework_demo icon framework_demo

Spring integrate with all kinds of Framework demo. like redis,mongodb,rabbitmq,jjwt etc ...

geektime-nginx icon geektime-nginx

极客时间:nginx核心知识100讲配置文件与代码分享

hongbao icon hongbao

✔️ 饿了么、美团拼手气红包辅助,一键领取手气最佳红包 http://www.elemhb.top/

java-pearl icon java-pearl

多年积累的基础算法等,使用java实现,包括:基础算法,大数据算法,JVM特性等示例程序集合,适合面试官选取面试题或者面试者准备面试阅读。

jewelcrawler icon jewelcrawler

豆瓣电影爬虫——a crawler which is able to crawl movie detail and short comments, save them to database mysql, also include Sentiment analysis based on comments

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