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README
Apache-2.0

Zebra

背景

互联网时代,在极端情况下,每天都有新需求要开发上线。随着代码量及团队成员的增加, 传统单体式架构的弊端日益凸显,严重制约了业务的快速创新和敏捷交付,与互联网所追求的 “唯快不破”的目标越来越远。这就是微服务架构兴起的时代大背景。

开源目标

分享国信证券在微服务架构和 CNCF 上的实践,让有相同目标方向的尽量少走弯路。

Zebra 微服务设计原则

  • 服务无状态,快速打包,独立部署
  • 轻量级通信
  • API 网关独立(即将开源),不对底层服务进行依赖
  • 基础设施自动化
  • 高度可观察
  • 去中心化
  • 隐藏内部实现细节
  • 调用失败隔离

Zebra 微服务架构

架构图如下

架构图

组件说明

组件 说明
配置中心 微服务配置统一管理、版本支持、配置分离,保证服务无状态
注册中心 服务自动注册、自动发现、负载均衡、异常保护、异常通报下发、服务降级
服务中心 展示服务状态,服务依赖关系,服务 API 管理,监控展示。
监控中心 基于 Prometheus 协议,实现应用监控、异常上报、功能主动监控
Zebra微服务 基于 JDK 1.8 和 SpringBoot 的基础上进行研发,极大简化开发。

Zebra 微服务开发框架

基于 JDK 1.8和 SpringBoot 的基础上进行研发,极大简化开发。具有如下功能:

  1. 采用grpc拦截器形式进行权限管理,服务接口授权;
  2. 采用令牌池方案,进行服务端并发控制;
  3. 采用阿里巴巴 TtlExecutors 线程池技术,管理业务线程,保障线程数据上下文不窜包;
  4. 使用线程池技术,当服务并发量超过服务最大线程数,服务过载快速失败;
  5. 采用 opentracing 标准,进行调用链分析埋点;
  6. 采用 JDK1.8 CompletableFuture 技术超时管理、 实现高性能异步调用和实现高性能延迟返回;
  7. 采用 SpringBoot 动态配置技术,简化数据库、缓存、消息队列访问;
  8. 基于 gRPC 流模式技术,实现流模式支持,实现服务推送;
  9. 基于 TTL 技术实现跨进程上下文传递;
  10. 自研延时加载技术,实现 Slow Start 特性,避免服务启动流量直接打到服务上;
  11. 基于netty优雅下线技术以及 JDK 推出钩子技术实现架构优雅下线,避免停服务时有请求未处理完。

文档

请参考 https://www.kancloud.cn/gszebra/zebra_doc/content

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简介

Zebra 是国信证券的微服务框架,是国信证券在微服务架构和 CNCF 上的实践,让有相同目标方向的尽量少走弯路 展开 收起
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