CoSky 基于 Redis 的服务治理平台（服务注册/发现 & 配置中心）

Consul + Sky = CoSky

CoSky 是一个轻量级、低成本的服务注册、服务发现、配置服务 SDK，通过使用现有基础设施中的 Redis （相信你已经部署了Redis），不用给运维部署带来额外的成本与负担。借助于 Redis 的高性能， CoSky 提供了超高TPS&QPS (10W+/s JMH 基准测试)。CoSky 结合本地进程缓存策略 + Redis PubSub ，实现实时进程缓存刷新，兼具无与伦比的QPS性能、进程缓存与 Redis 的实时一致性。

更新内容（1.0.0） 🎉 🎉 🎉

增强：当 Redis crash 时主动恢复 LUA 脚本
因 SEO、敏感词问题，项目名称（Govern-Service）修改为 CoSky(Consul + Sky)!!!
生产级验证版本 1.0.0 正式发布！🎉 🎉 🎉

安装

Gradle

Kotlin DSL

    val coskyVersion = "1.0.0";
    implementation("me.ahoo.cosky:spring-cloud-starter-cosky-config:${coskyVersion}")
    implementation("me.ahoo.cosky:spring-cloud-starter-cosky-discovery:${coskyVersion}")

Maven

<?xml version="1.0" encoding="UTF-8"?>

<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">

  <modelVersion>4.0.0</modelVersion>
  <artifactId>demo</artifactId>
  <properties>
    <cosky.version>1.0.0</cosky.version>
  </properties>

  <dependencies>
    <dependency>
      <groupId>me.ahoo.cosky</groupId>
      <artifactId>spring-cloud-starter-cosky-config</artifactId>
      <version>${cosky.version}</version>
    </dependency>
    <dependency>
      <groupId>me.ahoo.cosky</groupId>
      <artifactId>spring-cloud-starter-cosky-discovery</artifactId>
      <version>${cosky.version}</version>
    </dependency>
  </dependencies>

</project>

bootstrap.yaml (Spring-Cloud-Config)

spring:
  application:
    name: ${service.name:cosky-rest-api}
  cloud:
    cosky:
      namespace: ${cosky.namespace:cosky-{system}}
      config:
        config-id: ${spring.application.name}.yaml
      redis:
        mode: ${cosky.redis.mode:standalone}
        url: ${cosky.redis.uri:redis://localhost:6379}
logging:
  file:
    name: logs/${spring.application.name}.log

REST-API Server (`Optional`)

安装 REST-API Server

方式一：下载可执行文件

下载 rest-api-server

解压 cosky-rest-api-1.0.0.tar

cd cosky-rest-api-1.0.0
# 工作目录: cosky-rest-api-1.0.0
bin/cosky-rest-api --server.port=8080 --cosky.redis.uri=redis://localhost:6379

方式二：在 Docker 中运行

docker pull ahoowang/cosky-rest-api:1.0.0
docker run --name cosky-rest-api -d -p 8080:8080 --link redis -e COSKY_REDIS_URI=redis://redis:6379  ahoowang/cosky-rest-api:1.0.0

MacBook Pro (M1)

请使用 ahoowang/cosky-rest-api:1.0.0-armv7

docker pull ahoowang/cosky-rest-api:1.0.0-armv7
docker run --name cosky-rest-api -d -p 8080:8080 --link redis -e COSKY_REDIS_URI=redis://redis:6379  ahoowang/cosky-rest-api:1.0.0-armv7

方式三：在 Kubernetes 中运行

apiVersion: apps/v1
kind: Deployment
metadata:
  name: cosky-rest-api
spec:
  replicas: 1
  selector:
    matchLabels:
      app: cosky-rest-api
  template:
    metadata:
      labels:
        app: cosky-rest-api
    spec:
      containers:
        - env:
            - name: COSKY_REDIS_MODE
              value: standalone
            - name: COSKY_REDIS_URI
              value: redis://redis-uri:6379
          image: ahoowang/cosky-rest-api:1.0.0
          name: cosky-rest-api
          resources:
            limits:
              cpu: "1"
              memory: 640Mi
            requests:
              cpu: 250m
              memory: 512Mi
          volumeMounts:
            - mountPath: /etc/localtime
              name: volume-localtime
      volumes:
        - hostPath:
            path: /etc/localtime
            type: ""
          name: volume-localtime

---
apiVersion: v1
kind: Service
metadata:
  name: cosky-rest-api
  labels:
    app: cosky-rest-api
spec:
  selector:
    app: cosky-rest-api
  ports:
    - name: rest
      port: 80
      protocol: TCP
      targetPort: 8080

http://localhost:8080/dashboard

Dashboard

dashboard-dashboard

命名空间管理

dashboard-namespace

配置管理

dashboard-config-import

服务管理

dashboard-service-edit

REST-API

http://localhost:8080/swagger-ui/index.html#/

Namespace

rest-api-namespace

/v1/namespaces
- GET
/v1/namespaces/{namespace}
- PUT
- GET
/v1/namespaces/current
- GET
/v1/namespaces/current/{namespace}
- PUT

Config

rest-api-config

/v1/namespaces/{namespace}/configs
- GET
/v1/namespaces/{namespace}/configs/{configId}
- GET
- PUT
  - DELETE
/v1/namespaces/{namespace}/configs/{configId}/versions
- GET
/v1/namespaces/{namespace}/configs/{configId}/versions/{version}
- GET
/v1/namespaces/{namespace}/configs/{configId}/to/{targetVersion}
- PUT

Service

rest-api-service

/v1/namespaces/{namespace}/services/
- GET
/v1/namespaces/{namespace}/services/{serviceId}/instances
- GET
- PUT
/v1/namespaces/{namespace}/services/{serviceId}/instances/{instanceId}
- DELETE
/v1/namespaces/{namespace}/services/{serviceId}/instances/{instanceId}/metadata
- PUT
/v1/namespaces/{namespace}/services/{serviceId}/lb
- GET

JMH-Benchmark

基准测试运行环境：笔记本开发机 ( MacBook Pro (M1) )
所有基准测试都在开发笔记本上执行。
Redis 部署环境也在该笔记本开发机上。

ConfigService

gradle cosky-config:jmh
# or
java -jar cosky-config/build/libs/cosky-config-1.0.0-jmh.jar -bm thrpt -t 25 -wi 1 -rf json -f 1

# JMH version: 1.29
# VM version: JDK 11.0.11, OpenJDK 64-Bit Server VM, 11.0.11+9-LTS
# VM invoker: /Library/Java/JavaVirtualMachines/zulu-11.jdk/Contents/Home/bin/java
# VM options: -Dfile.encoding=UTF-8 -Djava.io.tmpdir=/Users/ahoo/cosky/config/build/tmp/jmh -Duser.country=CN -Duser.language=zh -Duser.variant
# Blackhole mode: full + dont-inline hint
# Warmup: 1 iterations, 10 s each
# Measurement: 1 iterations, 10 s each
# Timeout: 10 min per iteration
# Threads: 50 threads, will synchronize iterations
# Benchmark mode: Throughput, ops/time

Benchmark                                          Mode  Cnt          Score   Error  Units
ConsistencyRedisConfigServiceBenchmark.getConfig  thrpt       265321650.148          ops/s
RedisConfigServiceBenchmark.getConfig             thrpt          106991.476          ops/s
RedisConfigServiceBenchmark.setConfig             thrpt          103659.132          ops/s

ServiceDiscovery

gradle cosky-discovery:jmh
# or
java -jar cosky-discovery/build/libs/cosky-discovery-1.0.0-jmh.jar -bm thrpt -t 25 -wi 1 -rf json -f 1

# JMH version: 1.29
# VM version: JDK 11.0.11, OpenJDK 64-Bit Server VM, 11.0.11+9-LTS
# VM invoker: /Library/Java/JavaVirtualMachines/zulu-11.jdk/Contents/Home/bin/java
# VM options: -Dfile.encoding=UTF-8 -Djava.io.tmpdir=/Users/ahoo/cosky/discovery/build/tmp/jmh -Duser.country=CN -Duser.language=zh -Duser.variant
# Blackhole mode: full + dont-inline hint
# Warmup: 1 iterations, 10 s each
# Measurement: 1 iterations, 10 s each
# Timeout: 10 min per iteration
# Threads: 50 threads, will synchronize iterations
# Benchmark mode: Throughput, ops/time

Benchmark                                                Mode  Cnt          Score   Error  Units
ConsistencyRedisServiceDiscoveryBenchmark.getInstances  thrpt        76894658.867          ops/s
ConsistencyRedisServiceDiscoveryBenchmark.getServices   thrpt       466036317.472          ops/s
RedisServiceDiscoveryBenchmark.getInstances             thrpt          107778.244          ops/s
RedisServiceDiscoveryBenchmark.getServices              thrpt          106920.412          ops/s
RedisServiceRegistryBenchmark.deregister                thrpt          114094.513          ops/s
RedisServiceRegistryBenchmark.register                  thrpt          109085.694          ops/s
RedisServiceRegistryBenchmark.renew                     thrpt          127003.104          ops/s

CoSky(Govern-Service) 1.0.0 发布，基于 Redis 的服务治理平台