最近一段时间，Cloud Insight接连发布了三种语言（Python, Node, Ruby）的SDK，Cloud Insight Agent也迎来了重大突破，发布了Windows监控第一个版本，总算可以松口气写点东西了~
题外话二：
偶然的机会看到一篇blog，文中详细的介绍了Flask(Python), Sinatra(Ruby)以及 Matini(Golang)这三类微型框架的用法，并提供了各个框架在Docker下的部署方式。然而，美中不足的是没有提供各个框架的性能对比情况，经过一番搜罗，发现了一篇对现今主流框架做性能对比的文章，找到两者的结合点，于是才有了今天这篇文章~
回归正题，之所以选择Flask(Python), Sinatra(Ruby), Matini(Golang)和Express(Node)，主要是经验所限以及个人比较喜欢这类微型框架，下面我们就对各个框架在同等条件下的性能表现一探究竟。
本文源码地址：https://github.com/startover/fibonacci-webapp-benchmark
环境准备：
Docker
安装文档：https://docs.docker.com/engine/installation/
ab
CentOS/Redhat:
|
1 |
yum install httpd-tools |
Ubuntu/Debian:
|
1 |
apt-get update && apt-get install apache2-utils |
启动容器
|
1 2 3 4 5 6 7 8 9 10 11 12 13 |
$ git clone git@github.com:startover/fibonacci-webapp-benchmark.git $ cd fibonacci-webapp-benchmark $ ./docker-compose up -d Recreating fibonacciwebappbenchmark_python_1... Recreating fibonacciwebappbenchmark_go_1... Recreating fibonacciwebappbenchmark_ruby_1... Recreating fibonacciwebappbenchmark_node_1... $ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 14e0d2388dca fibonacciwebappbenchmark_node "npm start" 6 seconds ago Up 5 seconds 0.0.0.0:8080->8080/tcp fibonacciwebappbenchmark_node_1 8b1bdd070f83 fibonacciwebappbenchmark_ruby "bundle exec ruby sin" 23 seconds ago Up 22 seconds 0.0.0.0:4567->4567/tcp fibonacciwebappbenchmark_ruby_1 333360123b56 fibonacciwebappbenchmark_go "go run martini.go" 34 seconds ago Up 32 seconds 0.0.0.0:3000->3000/tcp fibonacciwebappbenchmark_go_1 df50829f511b fibonacciwebappbenchmark_python "python app.py" 42 seconds ago Up 41 seconds 0.0.0.0:5000->5000/tcp fibonacciwebappbenchmark_python_1 |
性能测试
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
$ ab -n 100000 -c 100 http://localhost:5000/10 ... Concurrency Level: 100 Time taken for tests: 168.322 seconds Complete requests: 100000 Failed requests: 0 Write errors: 0 Total transferred: 18400000 bytes HTML transferred: 2900000 bytes Requests per second: 594.10 [#/sec] (mean) Time per request: 168.322 [ms] (mean) Time per request: 1.683 [ms] (mean, across all concurrent requests) Transfer rate: 106.75 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.3 0 12 Processing: 21 168 15.3 166 295 Waiting: 13 167 15.1 165 286 Total: 26 168 15.3 166 295 ... |
Ruby + Sinatra
题外话二：
偶然的机会看到一篇blog，文中详细的介绍了Flask(Python), Sinatra(Ruby)以及 Matini(Golang)这三类微型框架的用法，并提供了各个框架在Docker下的部署方式。然而，美中不足的是没有提供各个框架的性能对比情况，经过一番搜罗，发现了一篇对现今主流框架做性能对比的文章，找到两者的结合点，于是才有了今天这篇文章~
回归正题，之所以选择Flask(Python), Sinatra(Ruby), Matini(Golang)和Express(Node)，主要是经验所限以及个人比较喜欢这类微型框架，下面我们就对各个框架在同等条件下的性能表现一探究竟。
本文源码地址：https://github.com/startover/fibonacci-webapp-benchmark
环境准备：
Docker
安装文档：https://docs.docker.com/engine/installation/
ab
CentOS/Redhat:
|
1 |
yum install httpd-tools |
Ubuntu/Debian:
|
1 |
apt-get update && apt-get install apache2-utils |
启动容器
|
1 2 3 4 5 6 7 8 9 10 11 12 13 |
$ git clone git@github.com:startover/fibonacci-webapp-benchmark.git $ cd fibonacci-webapp-benchmark $ ./docker-compose up -d Recreating fibonacciwebappbenchmark_python_1... Recreating fibonacciwebappbenchmark_go_1... Recreating fibonacciwebappbenchmark_ruby_1... Recreating fibonacciwebappbenchmark_node_1... $ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 14e0d2388dca fibonacciwebappbenchmark_node "npm start" 6 seconds ago Up 5 seconds 0.0.0.0:8080->8080/tcp fibonacciwebappbenchmark_node_1 8b1bdd070f83 fibonacciwebappbenchmark_ruby "bundle exec ruby sin" 23 seconds ago Up 22 seconds 0.0.0.0:4567->4567/tcp fibonacciwebappbenchmark_ruby_1 333360123b56 fibonacciwebappbenchmark_go "go run martini.go" 34 seconds ago Up 32 seconds 0.0.0.0:3000->3000/tcp fibonacciwebappbenchmark_go_1 df50829f511b fibonacciwebappbenchmark_python "python app.py" 42 seconds ago Up 41 seconds 0.0.0.0:5000->5000/tcp fibonacciwebappbenchmark_python_1 |
性能测试
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
$ ab -n 100000 -c 100 http://localhost:5000/10 ... Concurrency Level: 100 Time taken for tests: 168.322 seconds Complete requests: 100000 Failed requests: 0 Write errors: 0 Total transferred: 18400000 bytes HTML transferred: 2900000 bytes Requests per second: 594.10 [#/sec] (mean) Time per request: 168.322 [ms] (mean) Time per request: 1.683 [ms] (mean, across all concurrent requests) Transfer rate: 106.75 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.3 0 12 Processing: 21 168 15.3 166 295 Waiting: 13 167 15.1 165 286 Total: 26 168 15.3 166 295 ... |
