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Version: 2.12

Benchmark

Benchmark Environments#

n1-highcpu-8 (8 vCPUs, 7.2 GB memory) on Google Cloud

But we only used 4 cores to run APISIX, and left 4 cores for system and wrk, which is the HTTP benchmarking tool.

Benchmark Test for reverse proxy#

Only used APISIX as the reverse proxy server, with no logging, limit rate, or other plugins enabled, and the response size was 1KB.

QPS#

The x-axis means the size of CPU core, and the y-axis is QPS.

Latency#

Note the y-axis latency in microsecond(μs) not millisecond.

Flame Graph#

The result of Flame Graph:

And if you want to run the benchmark test in your machine, you should run another Nginx to listen 80 port.

curl http://127.0.0.1:9080/apisix/admin/routes/1 -H 'X-API-KEY: edd1c9f034335f136f87ad84b625c8f1' -X PUT -d '
{
"methods": ["GET"],
"uri": "/hello",
"upstream": {
"type": "roundrobin",
"nodes": {
"127.0.0.1:80": 1,
"127.0.0.2:80": 1
}
}
}'

then run wrk:

wrk -d 60 --latency http://127.0.0.1:9080/hello

Benchmark Test for reverse proxy, enabled 2 plugins#

Only used APISIX as the reverse proxy server, enabled the limit rate and prometheus plugins, and the response size was 1KB.

QPS#

The x-axis means the size of CPU core, and the y-axis is QPS.

Latency#

Note the y-axis latency in microsecond(μs) not millisecond.

Flame Graph#

The result of Flame Graph:

And if you want to run the benchmark test in your machine, you should run another Nginx to listen 80 port.

curl http://127.0.0.1:9080/apisix/admin/routes/1 -H 'X-API-KEY: edd1c9f034335f136f87ad84b625c8f1' -X PUT -d '
{
"methods": ["GET"],
"uri": "/hello",
"plugins": {
"limit-count": {
"count": 999999999,
"time_window": 60,
"rejected_code": 503,
"key": "remote_addr"
},
"prometheus":{}
},
"upstream": {
"type": "roundrobin",
"nodes": {
"127.0.0.1:80": 1,
"127.0.0.2:80": 1
}
}
}'

then run wrk:

wrk -d 60 --latency http://127.0.0.1:9080/hello