1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312
|
=========================
aiohttp server deployment
=========================
There are several options for aiohttp server deployment:
* Standalone server
* Running a pool of backend servers behind of :term:`nginx`, HAProxy
or other *reverse proxy server*
* Using :term:`gunicorn` behind of *reverse proxy*
Every method has own benefits and disadvantages.
.. _aiohttp-deployment-standalone:
Standalone
==========
Just call :func:`aiohttp.web.run_app` function passing
:class:`aiohttp.web.Application` instance.
The method is very simple and could be the best solution in some
trivial cases. But it doesn't utilize all CPU cores.
For running multiple aiohttp server instances use *reverse proxies*.
.. _aiohttp-deployment-nginx-supervisord:
Nginx+supervisord
=================
Running aiohttp servers behind :term:`nginx` makes several advantages.
At first, nginx is the perfect frontend server. It may prevent many
attacks based on malformed http protocol etc.
Second, running several aiohttp instances behind nginx allows to
utilize all CPU cores.
Third, nginx serves static files much faster than built-in aiohttp
static file support.
But this way requires more complex configuration.
Nginx configuration
--------------------
Here is short extraction about writing Nginx configuration file.
It doesn't cover all available Nginx options.
For full reference read `Nginx tutorial
<https://www.nginx.com/resources/admin-guide/>`_ and `official Nginx
documentation
<http://nginx.org/en/docs/http/ngx_http_proxy_module.html>`_.
First configure HTTP server itself:
.. code-block:: nginx
http {
server {
listen 80;
client_max_body_size 4G;
server example.com;
location / {
proxy_set_header Host $http_host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_redirect off;
proxy_buffering off;
proxy_pass http://aiohttp;
}
location /static {
# path for static files
root /path/to/app/static;
}
}
}
This config listens on port ``80`` for server named ``example.com``
and redirects everything to ``aiohttp`` backend group.
Also it serves static files from ``/path/to/app/static`` path as
``example.com/static``.
Next we need to configure *aiohttp upstream group*:
.. code-block:: nginx
http {
upstream aiohttp {
fail_timeout=0 means we always retry an upstream even if it failed
# to return a good HTTP response
# TCP servers
server 127.0.0.1:8081 fail_timeout=0;
server 127.0.0.1:8082 fail_timeout=0;
server 127.0.0.1:8083 fail_timeout=0;
server 127.0.0.1:8084 fail_timeout=0;
}
}
All HTTP requests for ``http://example.com`` except ones for
``http://example.com/static`` will be redirected to
``127.0.0.1:8081``, ``127.0.0.1:8082``, ``127.0.0.1:8083`` or
``127.0.0.1:8084`` *backend proxies*.
By default Nginx uses round-robin algorithm for backend selection.
.. note::
Nginx is not the only existing *reverse proxy server* but the most
popular one. Alternatives like HAProxy may be used as well.
Supervisord
-----------
After configuring Nginx we need to start our aiohttp backends. Better
to use some tool for starting them automatically after system reboot
or backend crash.
There are very many ways to do it: Supervisord, Upstart, Systemd,
Gaffer, Circus, Runit etc.
Here we'll use `Supervisord <http://supervisord.org/>`_ for example::
[program:aiohttp_1]
cmd=/path/to/aiohttp_example.py 8081
user=nobody
autostart=true
autorestart=true
[program:aiohttp_2]
cmd=/path/to/aiohttp_example.py 8082
user=nobody
autostart=true
autorestart=true
[program:aiohttp_3]
cmd=/path/to/aiohttp_example.py 8083
user=nobody
autostart=true
autorestart=true
[program:aiohttp_4]
cmd=/path/to/aiohttp_example.py 8084
user=nobody
autostart=true
autorestart=true
The config will run four aiohttp server instances, ports are specified
by command line.
aiohttp server
--------------
The last step is preparing aiohttp server for working with supervisord.
Assuming we have properly configured :class:`aiohttp.web.Application`
and port is specified by command line the task is trivial::
# aiohttp_example.py
import argparse
from aiohttp import web
parser = argparse.ArgumentParser(description="aiohttp server example")
parser.add_argument('port', type=int)
if __name__ == '__main__':
app = web.Application()
# configure app
args = parser.parse_args()
web.run_app(app, port=args.port)
For real use cases we perhaps need to configure other things like
logging etc. but it's out of scope of the topic.
.. _aiohttp-deployment-gunicorn:
Nginx+Gunicorn
==============
aiohttp can be deployed using `Gunicorn
<http://docs.gunicorn.org/en/latest/index.html>`_, which is based on a
pre-fork worker model. Gunicorn launches your app as worker processes
for handling incoming requests.
In opposite to deployment with :ref:`bare Nginx
<aiohttp-deployment-nginx-supervisord>` the solution doesn't need to
manually run several aiohttp processes and use tool like supervisord
for monitoring it. But nothing is for free: running aiohttp
application under gunicorn is slightly slower.
Prepare environment
-------------------
You firstly need to setup your deployment environment. This example is
based on `Ubuntu` 14.04.
Create a directory for your application::
>> mkdir myapp
>> cd myapp
`Ubuntu` has a bug in pyenv, so to create virtualenv you need to do some
extra manipulation::
>> pyvenv-3.4 --without-pip venv
>> source venv/bin/activate
>> curl https://bootstrap.pypa.io/get-pip.py | python
>> deactivate
>> source venv/bin/activate
Now that the virtual environment is ready, we'll proceed to install
aiohttp and gunicorn::
>> pip install gunicorn
>> pip install -e git+https://github.com/KeepSafe/aiohttp.git#egg=aiohttp
Application
-----------
Lets write a simple application, which we will save to file. We'll
name this file *my_app_module.py*::
from aiohttp import web
def index(request):
return web.Response(text="Welcome home!")
my_web_app = web.Application()
my_web_app.router.add_get('/', index)
Start Gunicorn
--------------
When `Running Gunicorn
<http://docs.gunicorn.org/en/latest/run.html>`_, you provide the name
of the module, i.e. *my_app_module*, and the name of the app,
i.e. *my_web_app*, along with other `Gunicorn Settings
<http://docs.gunicorn.org/en/latest/settings.html>`_ provided as
command line flags or in your config file.
In this case, we will use:
* the *'--bind'* flag to set the server's socket address;
* the *'--worker-class'* flag to tell Gunicorn that we want to use a
custom worker subclass instead of one of the Gunicorn default worker
types;
* you may also want to use the *'--workers'* flag to tell Gunicorn how
many worker processes to use for handling requests. (See the
documentation for recommendations on `How Many Workers?
<http://docs.gunicorn.org/en/latest/design.html#how-many-workers>`_)
The custom worker subclass is defined in
*aiohttp.worker.GunicornWebWorker* and should be used instead of the
*gaiohttp* worker provided by Gunicorn, which supports only
aiohttp.wsgi applications::
>> gunicorn my_app_module:my_web_app --bind localhost:8080 --worker-class aiohttp.worker.GunicornWebWorker
[2015-03-11 18:27:21 +0000] [1249] [INFO] Starting gunicorn 19.3.0
[2015-03-11 18:27:21 +0000] [1249] [INFO] Listening at: http://127.0.0.1:8080 (1249)
[2015-03-11 18:27:21 +0000] [1249] [INFO] Using worker: aiohttp.worker.GunicornWebWorker
[2015-03-11 18:27:21 +0000] [1253] [INFO] Booting worker with pid: 1253
Gunicorn is now running and ready to serve requests to your app's
worker processes.
.. note::
If you want to use an alternative asyncio event loop
`uvloop <https://github.com/MagicStack/uvloop>`_, you can use the
``aiohttp.worker.GunicornUVLoopWebWorker`` worker class.
More information
----------------
The Gunicorn documentation recommends deploying Gunicorn behind an
Nginx proxy server. See the `official documentation
<http://docs.gunicorn.org/en/latest/deploy.html>`_ for more
information about suggested nginx configuration.
Logging configuration
---------------------
``aiohttp`` and ``gunicorn`` use different format for specifying access log.
By default aiohttp uses own defaults::
'%a %l %u %t "%r" %s %b "%{Referrer}i" "%{User-Agent}i"'
For more information please read :ref:`Format Specification for Accees
Log <aiohttp-logging-access-log-format-spec>`.
.. disqus::
:title: aiohttp deployment with gunicorn
|