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。
服务注册与发现
配置中心
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
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
Dashboard
命名空间管理
配置管理
编辑配置
回滚配置
从Nacos导入配置
服务管理
编辑服务实例信息
REST-API
Namespace
- /v1/namespaces
- GET
- /v1/namespaces/{namespace}
- PUT
- GET
- /v1/namespaces/current
- GET
- /v1/namespaces/current/{namespace}
- PUT
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
- /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