Netflix Zuul与Nginx 性能对比

简介: 原文地址Zuul的原始性能非常接近于Nginx。(重申免责声明-这并非一个严肃的基准性能测试)Zuul Request Lifecycleimage.

原文地址
Zuul的原始性能非常接近于Nginx。(重申免责声明-这并非一个严肃的基准性能测试)

Zuul Request Lifecycle

img_0f8eea60e7381600465378c1caf94b1f.png
image.png

NETFLIX ZUUL VS NGINX PERFORMANCE

POSTED BY STANISLAV MIKLIK | APRIL 16, 2015 |SPRING

Nowadays you can hear lot about microservices.Spring Boot is an excellent choice for building single microservice but you need to interconnect them somehow. That’s what Spring Cloud tries to solve (among other things) – especially

Spring Cloud Netflix. It provides various components e.g. Eureka discovery service together with client side load balancer Ribbon for inter-microservice communication. But if you want to communicate to outside world (you provide external API or you just use AJAX from your page heavily) it is good to hide your various services behind a proxy.

Natural choice would be Nginx. But Netflix comes with its own solution – intelligent router Zuul. It comes with lot of interesting features and can be used e.g. for authentication, service migration, load shedding and various dynamic routing options. And it is written in Java. If Netflix uses it, is it fast enough compared to native reverse proxy? Or is it just suitable as an companion to Nginx when flexibility (or other features) are important?

Disclaimer: Do not consider this as a serious benchmark. I just wanted to get feeling how Nginx and Zuul compares and I can’t find any benchmarks on internet (ok, maybe I was not searching long enough but I wanted get my hands dirty). It does not follow any recommended benchmarking methodology (warmup period, number of measurements,…) and I was just using 3 micro EC2 instances (that is not optimal neither) in different availability zones.

TEST

So what have I done? Test was to compare raw performance of both solutions without any special features. I just concurrently make single HTTP request to get one HTML page (of size cca. 26KB). I used

ApacheBench to make the test with 200 concurrent threads (I have tried also

httperf but it looks that it was more CPU demanding so I got lower numbers then with ab).

DIRECT CONNECTION

First I was interested what is the performance of target HTTP server (once again Nginx) without any reverse proxy. Ab was running on one machine and was accessing target server directly.

$ ab -n 10000 -c 200 http://target/sample.html

....

Document Path: /sample.html
Document Length: 26650 bytes

Total transferred: 268940000 bytes
HTML transferred: 266500000 bytes
Requests per second: 2928.45 [#/sec] (mean)
Time per request: 68.295 [ms] (mean)
Time per request: 0.341 [ms] (mean, across all concurrent requests)
Transfer rate: 76911.96 [Kbytes/sec] received

Connection Times (ms)
 min mean[+/-sd] median max
Connect: 4 33 6.0 32 66
Processing: 20 35 7.5 35 392
Waiting: 20 35 6.4 34 266
Total: 24 68 7.8 66 423

Percentage of the requests served within a certain time (ms)
 50% 66
 66% 67
 75% 69
 80% 70
 90% 74
 95% 81
 98% 91
 99% 92
 100% 423 (longest request)

Quiet nice, few more tests shows similar values: 2928 ; 2725 ; 2834 ; 2648 req/s. There are some deviations but this number is not that important now.

VIA NGINX

So now I could setup proxy server (Ubuntu 14.04 LTS) with default nginx installation. I just updated configuration to proxy to target server like:

server {
   listen 80 default_server;
   listen [::]:80 default_server ipv6only=on;

   # Make site accessible from http://localhost/
   server_name localhost;

   # allow file upload
   client_max_body_size 10M;

   location / {
      proxy_set_header X-Real-IP $remote_addr;
      proxy_set_header X-Forwarded-For $remote_addr;
      proxy_set_header Host $host;
      proxy_pass http://target:80;
   }
}

And run similar test as before

$ ab -n 50000 -c 200 http://proxy/sample.html
...
Server Software: nginx/1.4.6
Server Hostname: proxy
Server Port: 80

Document Path: /sample.html
Document Length: 26650 bytes

Concurrency Level: 200
Time taken for tests: 52.366 seconds
Complete requests: 50000
Failed requests: 0
Total transferred: 1344700000 bytes
HTML transferred: 1332500000 bytes
Requests per second: 954.81 [#/sec] (mean)
Time per request: 209.465 [ms] (mean)
Time per request: 1.047 [ms] (mean, across all concurrent requests)
Transfer rate: 25076.93 [Kbytes/sec] received

Connection Times (ms)
 min mean[+/-sd] median max
Connect: 3 50 11.7 48 114
Processing: 37 159 11.9 160 208
Waiting: 36 159 11.9 160 207
Total: 40 209 10.4 209 256

Percentage of the requests served within a certain time (ms)
 50% 209
 66% 212
 75% 214
 80% 216
 90% 220
 95% 224
 98% 232
 99% 238
 100% 256 (longest request)

Further results were 954 ; 953 ; 941 req/s. Performance and latency is (as expected) worse.

VIA ZUUL

Now we can use same machine to setup the zuul. Application itself is very simple:

@SpringBootApplication
@Controller
@EnableZuulProxy
public class DemoApplication {
  public static void main(String[] args) {
    new SpringApplicationBuilder(DemoApplication.class).web(true).run(args);
  }
}

And we just have to define fixed route in application.yml

zuul:
  routes:
    sodik:
      path: /sodik/**
      url: http://target

And now let’s try to run test.

$ ab -n 50000 -c 200 http://proxy:8080/sodik/sample.html

Server Software: Apache-Coyote/1.1
Server Hostname: proxy
Server Port: 8080

Document Path: /sodik/sample.html
Document Length: 26650 bytes

Concurrency Level: 200
Time taken for tests: 136.164 seconds
Complete requests: 50000
Failed requests: 2
(Connect: 0, Receive: 0, Length: 2, Exceptions: 0)
Non-2xx responses: 2
Total transferred: 1343497042 bytes
HTML transferred: 1332447082 bytes
Requests per second: 367.20 [#/sec] (mean)
Time per request: 544.657 [ms] (mean)
Time per request: 2.723 [ms] (mean, across all concurrent requests)
Transfer rate: 9635.48 [Kbytes/sec] received

Connection Times (ms)
min mean[+/-sd] median max
Connect: 2 12 92.3 2 1010
Processing: 15 532 321.6 461 10250
Waiting: 10 505 297.2 441 9851
Total: 17 544 333.1 467 10270

Percentage of the requests served within a certain time (ms)
50% 467
66% 553
75% 626
80% 684
90% 896
95% 1163
98% 1531
99% 1864
100% 10270 (longest request)

Result is worse then my (optimistic?) guess. Additionally we can see two failures (and we can see two corresponding exceptions in Zuul log that complains about HTTP pool timeout). Apparently the timeout is set to 10 seconds by default.

So let’s get some more results.

Document Path: /sodik/sample.html
Document Length: 26650 bytes

Concurrency Level: 200
Time taken for tests: 50.080 seconds
Complete requests: 50000
Failed requests: 0
Total transferred: 1343550000 bytes
HTML transferred: 1332500000 bytes
Requests per second: 998.39 [#/sec] (mean)
Time per request: 200.322 [ms] (mean)
Time per request: 1.002 [ms] (mean, across all concurrent requests)
Transfer rate: 26199.09 [Kbytes/sec] received

Connection Times (ms)
min mean[+/-sd] median max
Connect: 2 16 7.9 16 126
Processing: 15 184 108.1 203 1943
Waiting: 13 183 105.9 202 1934
Total: 18 200 107.8 218 1983

Percentage of the requests served within a certain time (ms)
50% 218
66% 228
75% 235
80% 239
90% 254
95% 287
98% 405
99% 450
100% 1983 (longest request)

Wow, what an improvement. Only what comes to my mind that Java JIT compilation could help the performance. But to verify if it was just an coincidence, one more attempt: 1010 req/sec. At the end the result is a positive surprise for me.

CONCLUSION

Zuul’s raw performance is very comparative to Nginx – in fact after startup warmup period it is even slightly better in my results (again – see disclaimer – this is not a serious performance test). Nginx shows more predicable performance (lower variation) and (sadly) we have experienced minor glitches (2 out of 150000 requests) during Zuul “warmup” (but your microservices are fault resilient, right?

So if you consider using some of the extra Zuul features or want to gain more from integration with other Netflix services like Eureka for service discovery, Zuul looks very promising as a replacement for ordinary reverse proxy. Maybe it is really used by Netflix.

so you can try it too.


个人介绍:

高广超:多年一线互联网研发与架构设计经验,擅长设计与落地高可用、高性能互联网架构。

本文首发在 高广超的简书博客 转载请注明!

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