# microservices_framework_benchmark
**Repository Path**: cctvbtx/microservices_framework_benchmark
## Basic Information
- **Project Name**: microservices_framework_benchmark
- **Description**: kratos、go-zero、sponge三个微服务框架创建的http和gprc服务的性能测试
- **Primary Language**: Go
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 1
- **Created**: 2026-01-07
- **Last Updated**: 2026-01-07
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
## kratos、go-zero、sponge三个微服务框架创建的http和gprc服务的性能测试
#### 主要压测指标
- **吞吐量(Throughput)**:单位时间内处理的请求数量,通常以每秒请求数(Requests per Second,RPS)表示。
- **响应时间(Response Time)**:从发出请求到收到响应的时间,包括p95、p99、avg、min、max。
- **错误率(Error Rate)**:请求处理失败或产生错误的比率。
- **资源利用率(Resource Utilization)**:包括cpu、内存、网络带宽等资源的使用情况。
#### 压测api
- **http**
- 端口: 8080
- 路由: /api/v1/helloworld/qwertyuiopasdfghjklzxcvbnmqwertyuiopasdfghjklzxcvbnm
- 请求方法: GET
- **grpc**
- 端口: 8282
- path: /helloworld.v1.Greeter/SayHello
- message: qwertyuiopasdfghjklzxcvbnmqwertyuiopasdfghjklzxcvbnm
- 类型: unary
注: 8080端口的路由/metrics是采集go程序的指标。
#### 压测工具
- [**k6**](https://github.com/grafana/k6): 用来压测http服务。
- [**ghz**](https://github.com/bojand/ghz): 用来压测grpc服务。
#### 压测环境
因为不同的服务器硬件对性能测试结果不一样,本次是在宿主机和虚拟机之间进行负载测试:
- 宿主机
- 硬件:R7 6800H CPU,16G内存
- 用途:运行工具k6和ghz测试http api和grpc api
- VMware虚拟机
- 系统:centos 8
- 硬件:8核cpu、4G内存
- 用途:用于单独运行kratos、go-zero、sponge创建的http和grpc服务
> 如果想要在自己的机器上进行负载测试,点击查看[压测说明文档](benchmark.md)。
#### 压测结果
50个并发,总共100万个请求,压测kratos、go-zero、sponge创建的`http`服务结果:

50个并发,总共100万个请求,压测kratos、go-zero、sponge创建的`grpc`服务结果:

---
### kratos 创建的服务的压测结果数据
kratos 版本 2.7.2
#### http 压测结果数据
使用压测工具k6,50个并发,总共100万次请求的结果数据:
```bash
$ K6_PROMETHEUS_RW_SERVER_URL="http://192.168.3.37:9090/api/v1/write" K6_PROMETHEUS_RW_TREND_STATS="min,max,avg,p(95),p(99)" K6_PROMETHEUS_RW_PUSH_INTERVAL=1s k6 run -u 50 -i 1000000 -o experimental-prometheus-rw http-load-test.js
execution: local
script: http-load-test.js
output: Prometheus remote write (http://192.168.3.37:9090/api/v1/write)
scenarios: (100.00%) 1 scenario, 50 max VUs, 10m30s max duration (incl. graceful stop):
* default: 1000000 iterations shared among 50 VUs (maxDuration: 10m0s, gracefulStop: 30s)
✓ status is 200
checks.........................: 100.00% ✓ 1000000 ✗ 0
data_received..................: 137 MB 2.3 MB/s
data_sent......................: 115 MB 2.0 MB/s
http_req_blocked...............: avg=1.68µs min=0s med=0s max=10.12ms p(90)=0s p(95)=0s
http_req_connecting............: avg=262ns min=0s med=0s max=10.12ms p(90)=0s p(95)=0s
http_req_duration..............: avg=2.86ms min=0s med=2.01ms max=47.44ms p(90)=6.62ms p(95)=8.68ms
{ expected_response:true }...: avg=2.86ms min=0s med=2.01ms max=47.44ms p(90)=6.62ms p(95)=8.68ms
http_req_failed................: 0.00% ✓ 0 ✗ 1000000
http_req_receiving.............: avg=20.56µs min=0s med=0s max=4.68ms p(90)=0s p(95)=0s
http_req_sending...............: avg=8.01µs min=0s med=0s max=3.77ms p(90)=0s p(95)=0s
http_req_tls_handshaking.......: avg=0s min=0s med=0s max=0s p(90)=0s p(95)=0s
http_req_waiting...............: avg=2.83ms min=0s med=2ms max=47.44ms p(90)=6.58ms p(95)=8.64ms
http_reqs......................: 1000000 17085.130811/s
iteration_duration.............: avg=2.91ms min=0s med=2.02ms max=47.44ms p(90)=6.68ms p(95)=8.76ms
iterations.....................: 1000000 17085.130811/s
vus............................: 50 min=50 max=50
vus_max........................: 50 min=50 max=50
running (00m58.5s), 00/50 VUs, 1000000 complete and 0 interrupted iterations
default ✓ [======================================] 50 VUs 00m58.5s/10m0s 1000000/1000000 shared iters
```
压测http api指标的grafana界面:

采集到的服务程序指标的grafana界面:


#### grpc 压测结果数据
使用压测工具ghz,50个并发,总共100万次请求的结果数据。
grpc api压测结果数据:

采集到的服务程序指标的grafana界面:


### go-zero 创建的服务的压测结果数据
go-zero 版本 1.6.3
#### http 压测结果数据
使用压测工具k6,50个并发,总共100万次请求的结果数据:
```bash
$ K6_PROMETHEUS_RW_SERVER_URL="http://192.168.3.37:9090/api/v1/write" K6_PROMETHEUS_RW_TREND_STATS="min,max,avg,p(95),p(99)" K6_PROMETHEUS_RW_PUSH_INTERVAL=1s k6 run -u 50 -i 1000000 -o experimental-prometheus-rw http-load-test.js
execution: local
script: http-load-test.js
output: Prometheus remote write (http://192.168.3.37:9090/api/v1/write)
scenarios: (100.00%) 1 scenario, 50 max VUs, 10m30s max duration (incl. graceful stop):
* default: 1000000 iterations shared among 50 VUs (maxDuration: 10m0s, gracefulStop: 30s)
✓ status is 200
checks.........................: 100.00% ✓ 1000000 ✗ 0
data_received..................: 222 MB 3.5 MB/s
data_sent......................: 115 MB 1.8 MB/s
http_req_blocked...............: avg=1.67µs min=0s med=0s max=8.64ms p(90)=0s p(95)=0s
http_req_connecting............: avg=243ns min=0s med=0s max=8.64ms p(90)=0s p(95)=0s
http_req_duration..............: avg=3.08ms min=0s med=2.05ms max=124.92ms p(90)=6.78ms p(95)=9.13ms
{ expected_response:true }...: avg=3.08ms min=0s med=2.05ms max=124.92ms p(90)=6.78ms p(95)=9.13ms
http_req_failed................: 0.00% ✓ 0 ✗ 1000000
http_req_receiving.............: avg=21.31µs min=0s med=0s max=5.89ms p(90)=0s p(95)=0s
http_req_sending...............: avg=8.13µs min=0s med=0s max=5.2ms p(90)=0s p(95)=0s
http_req_tls_handshaking.......: avg=0s min=0s med=0s max=0s p(90)=0s p(95)=0s
http_req_waiting...............: avg=3.05ms min=0s med=2.04ms max=124.92ms p(90)=6.75ms p(95)=9.09ms
http_reqs......................: 1000000 15887.422209/s
iteration_duration.............: avg=3.13ms min=0s med=2.08ms max=124.92ms p(90)=6.85ms p(95)=9.21ms
iterations.....................: 1000000 15887.422209/s
vus............................: 50 min=50 max=50
vus_max........................: 50 min=50 max=50
running (01m02.9s), 00/50 VUs, 1000000 complete and 0 interrupted iterations
default ✓ [======================================] 50 VUs 01m02.9s/10m0s 1000000/1000000 shared iters
```
压测http api指标的grafana界面:

采集到的服务程序指标的grafana界面:


#### grpc 压测结果数据
使用压测工具ghz,50个并发,总共100万次请求的结果数据。
grpc api压测结果数据:

采集到的服务程序指标的grafana界面:


### sponge 创建的服务的压测结果数据
sponge 版本 1.7.0
#### http 压测结果数据
使用压测工具k6,50个并发,总共100万次请求的结果数据:
```bash
$ K6_PROMETHEUS_RW_SERVER_URL="http://192.168.3.37:9090/api/v1/write" K6_PROMETHEUS_RW_TREND_STATS="min,max,avg,p(95),p(99)" K6_PROMETHEUS_RW_PUSH_INTERVAL=1s k6 run -u 50 -i 1000000 -o experimental-prometheus-rw http-load-test.js
execution: local
script: http-load-test.js
output: Prometheus remote write (http://192.168.3.37:9090/api/v1/write)
scenarios: (100.00%) 1 scenario, 50 max VUs, 10m30s max duration (incl. graceful stop):
* default: 1000000 iterations shared among 50 VUs (maxDuration: 10m0s, gracefulStop: 30s)
✓ status is 200
checks.........................: 100.00% ✓ 1000000 ✗ 0
data_received..................: 181 MB 3.2 MB/s
data_sent......................: 115 MB 2.0 MB/s
http_req_blocked...............: avg=1.75µs min=0s med=0s max=10.2ms p(90)=0s p(95)=0s
http_req_connecting............: avg=305ns min=0s med=0s max=10.2ms p(90)=0s p(95)=0s
http_req_duration..............: avg=2.74ms min=0s med=2.04ms max=59.21ms p(90)=5.9ms p(95)=7.67ms
{ expected_response:true }...: avg=2.74ms min=0s med=2.04ms max=59.21ms p(90)=5.9ms p(95)=7.67ms
http_req_failed................: 0.00% ✓ 0 ✗ 1000000
http_req_receiving.............: avg=20.85µs min=0s med=0s max=8.54ms p(90)=0s p(95)=0s
http_req_sending...............: avg=8.55µs min=0s med=0s max=6.16ms p(90)=0s p(95)=0s
http_req_tls_handshaking.......: avg=0s min=0s med=0s max=0s p(90)=0s p(95)=0s
http_req_waiting...............: avg=2.72ms min=0s med=2.02ms max=58.69ms p(90)=5.87ms p(95)=7.63ms
http_reqs......................: 1000000 17740.077322/s
iteration_duration.............: avg=2.81ms min=0s med=2.07ms max=59.21ms p(90)=5.97ms p(95)=7.74ms
iterations.....................: 1000000 17740.077322/s
vus............................: 50 min=50 max=50
vus_max........................: 50 min=50 max=50
running (00m56.4s), 00/50 VUs, 1000000 complete and 0 interrupted iterations
default ✓ [======================================] 50 VUs 00m56.4s/10m0s 1000000/1000000 shared iters
```
压测http api指标的grafana界面:

采集到的服务程序指标的grafana界面:


#### grpc 压测结果数据
使用压测工具ghz,50个并发,总共100万次请求的结果数据。
grpc api的压测结果数据:

采集到的服务程序指标的grafana界面:

