Using Sanic's inbuilt webserver in Production - python

Django documentation states regarding their development server:
Don’t use this server in anything resembling a production environment.
It’s intended only for use while developing. (We’re in the business of
making Web frameworks, not Web servers.)
Sanic's deployment documentation do not say that we can not use it's built in server in production. It states:
Deploying Sanic is very simple using one of three options: the inbuilt
webserver, an ASGI webserver, or gunicorn. It is also very common to
place Sanic behind a reverse proxy, like nginx.
For me it means freedom from Apache. It also means that Nginx, Gunicorn, Daphne, Uvicorn, Hypercorn etc. are optional.
However, I found some negative comments regarding its built in server in Sanic: python web server that's written to die fast. On the other hand, Their github repository seems very active. Did they addressed the issues mentioned in the Reddit post?
Am I missing something?

Issue 1 deals with request size and timeout settings that allow for DoS attacks by flooding the server with too much data. These settings can be adjusted by the admin, according to the server hardware and the requirements of the site being run. That being said, the defaults probably should be lower than they are, to make such attacks on unconfigured servers more difficult.
Issue 2 claims that there is no backpressure handling in streaming responses. The current version does have flow control and thus gets proper backpressure control, avoiding such issues. Since this was quite badly overlooked in Python's asyncio protocol design, a lot of applications had such problems in the past, presumably also including Sanic at the time the blog was written.
As it is now, the Sanic server can certainly run directly on Internet, and that is in fact much safer against DoS than running Django behind nginx or Apache, where any long-lasting POST request blocks an entire Django worker.

Related

Should you deploy django with wsgi?

Do you need to deploy django with wsgi? I am running Django on a Docker instance and it seems like often the recommended solution is just to use Django's development server, i.e. the command python manage.py runserver. When exactly is a web server such as wsgi needed -- and in this instance, in a containerized application, is the django development server enough for production applications?
You answer your own question:
is the django development server enough for production applications ?
In the django documentation, you can read the following:
Now’s a good time to note: don’t use this server in anything resembling a production environment. It’s intended only for use while developing. (We’re in the business of making Web frameworks, not Web servers.)
And also this part:
DO NOT USE THIS SERVER IN A PRODUCTION SETTING. It has not gone through security audits or performance tests. (And that’s how it’s gonna stay. We’re in the business of making Web frameworks, not Web servers, so improving this server to be able to handle a production environment is outside the scope of Django.)
So no. Don't use the Django development server in production. Security risks, poor performances, etc.
The development server is never recommended as an option for production server. It has a number of security and performance issues.
The solution which is working well for us is Gunicorn behind an Nginx reverse proxy (so that multiple people can connect smoothly.)
The method mentioned in this tutorial is a good beginners guide to a Ubuntu setup with nginx and gunicorn. When bringing docker into the mix use this tutorial.
You can use Django Channels to deploy in production without using WSGI.
You can set things up in one of two ways; either route all traffic through a HTTP/WebSocket interface server, removing the need to run a WSGI server at all; or, just route WebSockets and long-poll HTTP connections to the interface server, and leave other pages served by a standard WSGI server.

What type of server Django runserver uses?

What type of server Django uses when "runserver" command is ran? Documentation says more or less that it's "lightweight development Web server". Is it for example Apache? Thanks in advance.
It's exactly what it says on the tin - a simple, lightweight web server implemented in Python that ships with Django and is intended for development purposes only. It's not a free-standing web server in its own right and is intended purely for developing applications with Django - you should never use it in production because it simply doesn't offer all the functionality you need in a production web server.
A web server can be implemented in virtually any programming language, and so it makes sense to ship one implemented in Python with Django in order that you can get working with it immediately without having to install something like Apache as well. Most web servers that might be used in production, such as Apache and Nginx, are written in C so it wouldn't really be practical to ship them with Django.
Also, shipping your own development server cuts down on complexity. Apache and Nginx are both complex pieces of software that require a fair amount of configuration, and while there are ways to automate that during development, it's not something you really want to have to deal with when you'd rather be writing code. All you need to get you started is something that will serve static and dynamic content - you don't need a lot of the other functionality required. It's notable that even PHP now ships with a development server.
When you go live with a Django project, you should use of course use a proper web server. It's generally recommended that with Django, in production you should use two web servers, one to serve static content, the other to serve dynamic content, because involving Django in serving static content will slow it down. This sounds odd at first, but it actually makes a lot of sense, because what you do is set one web server to serve all the static content, then have it reverse proxy to the other server, which is running on a non-standard port, and serves all the dynamic content. The setup I have for my current project is Nginx for the static content, with Gunicorn for the dynamic content.

Should I use orbited or gevent for integrating comet functionality into a django app

I have been working with Django for some time now and have written several apps on a setup that uses Apache 2 mod_wsgi and a PostgreSQL database on ubuntu.
I have aa app that uses xsendfile to serve files from Apache via a Django view, and also allow users to upload files via a form as well. All this working great, but I now want to ramp up the features (and the complexity I am sure) by allowing users to chat and to see when new files have been uploaded without refreshing their browser.
As I want this to be scale-able, I don't want to poll continually with AJAX as this is going to get very heavy with large numbers of users.
I have read more posts, sites and blogs then I can count on integrating comet functionality into a Django app but there are so many different opinions out there on how to do this that I am now completely confused.
Should I be using orbited, gevent, iosocket?
Where does Tornado fit into this debate?
I want the messages also be stored on the database, so do I need any special configuration
to prevent my application blocking when writing to the database?
Will running a chat server with Django have any impact on my ability to serve files from Apache?
I'd recommend using WebSockets for bidirectional realtime communication. Keep running Django as is and run a WebSocket server on another port. As far as your database blocking, yes, you'll need to keep that in mind as you write your WebSocket server and either use a non-blocking database driver, or address that in some way.
Client-side you'll want to use Socket.IO or web-socket-js to support flash fallback for older browsers which don't support flash.
For the server, I would lean towards gevent or tornado, personally. For gevent there is gevent-websocket and gevent-socketio, for tornado you get built-in WebSocket support and can use tornadio if you want to use Socket.IO. Eventlet and twisted both support WebSockets as well. There is also a pretty cool new project called autobahn which is built on twisted, and meinheld has WebSocket middleware you can use.
WebSockets are pretty exciting, and as such there are tons of great posts out there on the subject. I found these posts useful:
http://gehrcke.de/2011/06/the-best-and-simplest-tools-to-create-a-basic-websocket-application-with-flash-fallback-and-python-on-the-server-side/
http://codysoyland.com/2011/feb/6/evented-django-part-one-socketio-and-gevent/
http://toastdriven.com/blog/2011/jul/31/gevent-long-polling-you/
http://blog.jupo.org/post/8858247674/real-time-web-apps-with-django-and-websockets/
Instead of Apache + X-Sendfile you could use Nginx + X-Accel-Redirect. That way you can run a gevent/wsgi/django server behind Nginx with views that provide long-polling. No need for a separate websockets server.
I've used both Apache + X-Sendfile and Nginx + X-Accel-Redirect to serve (access-protected) content on Webfaction without any problems.

How do you deploy your WSGI application? (and why it is the best way)

I am deploying a WSGI application. There are many ways to skin this cat. I am currently using apache2 with mod-wsgi, but I can see some potential problems with this.
So how can it be done?
Apache Mod-wsgi (the other mod-wsgi's seem to not be worth it)
Pure Python web server eg paste, cherrypy, Spawning, Twisted.web
as 2 but with reverse proxy from nginx, apache2 etc, with good static file handling
Conversion to other protocol such as FCGI with a bridge (eg Flup) and running in a conventional web server.
More?
I want to know how you do it, and why it is the best way to do it. I would absolutely love you to bore me with details about the whats and the whys, application specific stuff, etc.
As always: It depends ;-)
When I don't need any apache features I am going with a pure python webserver like paste etc. Which one exactly depends on your application I guess and can be decided by doing some benchmarks. I always wanted to do some but never came to it. I guess Spawning might have some advantages in using non blocking IO out of the box but I had sometimes problems with it because of the patching it's doing.
You are always free to put a varnish in front as well of course.
If an Apache is required I am usually going with solution 3 so that I can keep processes separate. You can also more easily move processes to other servers etc. I simply like to keep things separate.
For static files I am using right now a separate server for a project which just serves static images/css/js. I am using lighttpd as webserver which has great performance (in this case I don't have a varnish in front anymore).
Another useful tool is supervisord for controlling and monitoring these services.
I am additionally using buildout for managing my deployments and development sandboxes (together with virtualenv).
I would absolutely love you to bore me with details about the whats and the whys, application specific stuff, etc
Ho. Well you asked for it!
Like Daniel I personally use Apache with mod_wsgi. It is still new enough that deploying it in some environments can be a struggle, but if you're compiling everything yourself anyway it's pretty easy. I've found it very reliable, even the early versions. Props to Graham Dumpleton for keeping control of it pretty much by himself.
However for me it's essential that WSGI applications work across all possible servers. There is a bit of a hole at the moment in this area: you have the WSGI standard telling you what a WSGI callable (application) does, but there's no standardisation of deployment; no single way to tell the web server where to find the application. There's also no standardised way to make the server reload the application when you've updated it.
The approach I've adopted is to put:
all application logic in modules/packages, preferably in classes
all website-specific customisations to be done by subclassing the main Application and overriding members
all server-specific deployment settings (eg. database connection factory, mail relay settings) as class __init__() parameters
one top-level ‘application.py’ script that initialises the Application class with the correct deployment settings for the current server, then runs the application in such a way that it can work deployed as a CGI script, a mod_wsgi WSGIScriptAlias (or Passenger, which apparently works the same way), or can be interacted with from the command line
a helper module that takes care of above deployment issues and allows the application to be reloaded when the modules the application is relying on change
So what the application.py looks like in the end is something like:
#!/usr/bin/env python
import os.path
basedir= os.path.dirname(__file__)
import MySQLdb
def dbfactory():
return MySQLdb.connect(db= 'myappdb', unix_socket= '/var/mysql/socket', user= 'u', passwd= 'p')
def appfactory():
import myapplication
return myapplication.Application(basedir, dbfactory, debug= False)
import wsgiwrap
ismain= __name__=='__main__'
libdir= os.path.join(basedir, 'system', 'lib')
application= wsgiwrap.Wrapper(appfactory, libdir, 10, ismain)
The wsgiwrap.Wrapper checks every 10 seconds to see if any of the application modules in libdir have been updated, and if so does some nasty sys.modules magic to unload them all reliably. Then appfactory() will be called again to get a new instance of the updated application.
(You can also use command line tools such as
./application.py setup
./application.py daemon
to run any setup and background-tasks hooks provided by the application callable — a bit like how distutils works. It also responds to start/stop/restart like an init script.)
Another trick I use is to put the deployment settings for multiple servers (development/testing/production) in the same application.py script, and sniff ‘socket.gethostname()’ to decide which server-specific bunch of settings to use.
At some point I might package wsgiwrap up and release it properly (possibly under a different name). In the meantime if you're interested, you can see a dogfood-development version at http://www.doxdesk.com/file/software/py/v/wsgiwrap-0.5.py.
The absolute easiest thing to deploy is CherryPy. Your web application can also become a standalone webserver. CherryPy is also a fairly fast server considering that it's written in pure Python. With that said, it's not Apache. Thus, I find that CherryPy is a good choice for lower volume webapps.
Other than that, I don't think there's any right or wrong answer to this question. Lots of high-volume websites have been built on the technologies you talk about, and I don't think you can go too wrong any of those ways (although I will say that I agree with mod-wsgi not being up to snuff on every non-apache server).
Also, I've been using isapi_wsgi to deploy python apps under IIS. It's a less than ideal setup, but it works and you don't always get to choose otherwise when you live in a windows-centric world.
Nginx reverse proxy and static file sharing + XSendfile + uploadprogress_module. Nothing beats it for the purpose.
On the WSGI side either Apache + mod_wsgi or cherrypy server. I like to use cherrypy wsgi server for applications on servers with less memory and less requests.
Reasoning:
I've done benchmarks with different tools for different popular solutions.
I have more experience with lower level TCP/IP than web development, especially http implementations. I'm more confident that I can recognize a good http server than I can recognize a good web framework.
I know Twisted much more than Django or Pylons. The http stack in Twisted is still not up to this but it will be there.
I'm using Google App Engine for an application I'm developing. It runs WSGI applications.
Here's a couple bits of info on it.
This is the first web-app I've ever really worked on, so I don't have a basis for comparison, but if you're a Google fan, you might want to look into it. I've had a lot of fun using it as my framework for learning.
TurboGears (2.0)
TurboGears 2.0 is leaving Beta within the next month (has been in it for plenty of time). 2.0 improves upon 1.0 series and attempts to give you best-of-breed WSGI stack, so it makes some default choices for you, if you want the least fuss.
it has the tg* tools for testing and deployment in 1.x series, but now transformed to paster equivalents in 2.0 series, which shoud seem familiar if you've expermiented with pylons.
tg-admin quickstart —> paster quickstart
tg-admin info —> paster tginfo
tg-admin toolbox –> paster toolbox
tg-admin shell –> paster shell
tg-admin sql create –> paster setup-app development.ini
Pylons
It you'd like to be more flexible in your WSGI stack (choice of ORM, choice of templater, choice of form-ing), Pylons is becoming the consolidated choice. This would be my recommended choice, since it offers excellent documentation and allows you to experiment with different components.
It is a pleasure to work with as a result, and works on under Apache (production deployment) or stand-alone (helpful for testing and experimenting stage).
so it follows, you can do both with Pylons:
2 option for testing stage (python standalone)
4 for scalable production purposes (FastCGI, assuming the database you choose can keep up)
The Pylons admin interface is very similar to TurboGears. Here's a toy standalone example:
$ paster create -t pylons helloworld
$ cd helloworld
$ paster serve --reload development.ini
for production-class deployment, you could refer to the setup guide of Apache + FastCGI + mod_rewrite is available here. this would scale up to most needs.
Apache httpd + mod_fcgid using web.py (which is a wsgi application).
Works like a charm.
We are using pure Paste for some of our web services. It is easy to deploy (with our internal deployment mechanism; we're not using Paste Deploy or anything like that) and it is nice to minimize the difference between production systems and what's running on developers' workstations. Caveat: we don't expect low latency out of Paste itself because of the heavyweight nature of our requests. In some crude benchmarking we did we weren't getting fantastic results; it just ended up being moot due to the expense of our typical request handler. So far it has worked fine.
Static data has been handled by completely separate (and somewhat "organically" grown) stacks, including the use of S3, Akamai, Apache and IIS, in various ways.
Apache+mod_wsgi,
Simple, clean. (only four lines of webserver config), easy for other sysadimns to get their head around.

Python web programming

Good morning.
As the title indicates, I've got some questions about using python for web development.
What is the best setup for a development environment, more specifically, what webserver to use, how to bind python with it. Preferably, I'd like it to be implementable in both, *nix and win environment.
My major concern when I last tried apache + mod_python + CherryPy was having to reload webserver to see the changes. Is it considered normal? For some reason cherrypy's autoreload didn't work at all.
What is the best setup to deploy a working Python app to production and why? I'm now using lighttpd for my PHP web apps, but how would it do for python compared to nginx for example?
Is it worth diving straight with a framework or to roll something simple of my own? I see that Django has got quite a lot of fans, but I'm thinking it would be overkill for my needs, so I've started looking into CherryPy.
How exactly are Python apps served if I have to reload httpd to see the changes? Something like a permanent process spawning child processes, with all the major file includes happening on server start and then just lazy loading needed resources?
Python supports multithreading, do I need to look into using that for a benefit when developing web apps? What would be that benefit and in what situations?
Big thanks!
What is the best setup for a development environment?
Doesn't much matter. We use Django, which runs in Windows and Unix nicely. For production, we use Apache in Red Hat.
Is having to reload webserver to see the changes considered normal?
Yes. Not clear why you'd want anything different. Web application software shouldn't be dynamic. Content yes. Software no.
In Django, we develop without using a web server of any kind on our desktop. The Django "runserver" command reloads the application under most circumstances. For development, this works great. The times when it won't reload are when we've damaged things so badly that the app doesn't properly.
What is the best setup to deploy a working Python app to production and why?
"Best" is undefined in this context. Therefore, please provide some qualification for "nest" (e.g., "fastest", "cheapest", "bluest")
Is it worth diving straight with a framework or to roll something simple of my own?
Don't waste time rolling your own. We use Django because of the built-in admin page that we don't have to write or maintain. Saves mountains of work.
How exactly are Python apps served if I have to reload httpd to see the changes?
Two methods:
Daemon - mod_wsgi or mod_fastcgi have a Python daemon process to which they connect. Change your software. Restart the daemon.
Embedded - mod_wsgi or mod_python have an embedded mode in which the Python interpreter is inside the mod, inside Apache. You have to restart httpd to restart that embedded interpreter.
Do I need to look into using multi-threaded?
Yes and no. Yes you do need to be aware of this. No, you don't need to do very much. Apache and mod_wsgi and Django should handle this for you.
So here are my thoughts about it:
I am using Python Paste for developing my app and eventually also running it (or any other python web server). I am usually not using mod_python or mod_wsgi as it makes development setup more complex.
I am using zc.buildout for managing my development environment and all dependencies together with virtualenv. This gives me an isolated sandbox which does not interfere with any Python modules installed system wide.
For deployment I am also using buildout/virtualenv, eventually with a different buildout.cfg. I am also using Paste Deploy and it's configuration mechanism where I have different config files for development and deployment.
As I am usually running paste/cherrypy etc. standalone I am using Apache, NGINX or maybe just a Varnish alone in front of it. It depends on what configuration options you need. E.g. if no virtual hosting, rewrite rules etc. are needed, then I don't need a full featured web server in front. When using a web server I usually use ProxyPass or some more complex rewriting using mod_rewrite.
The Python web framework I use at the moment is repoze.bfg right now btw.
As for your questions about reloading I know about these problems when running it with e.g. mod_python but when using a standalone "paster serve ... -reload" etc. it so far works really well. repoze.bfg additionally has some setting for automatically reloading templates when they change. If the framework you use has that should be documented.
As for multithreading that's usually used then inside the python web server. As CherryPy supports this I guess you don't have to worry about that, it should be used automatically. You should just eventually make some benchmarks to find out under what number of threads your application performs the best.
Hope that helps.
+1 to MrTopf's answer, but I'll add some additional opinions.
Webserver
Apache is the webserver that will give you the most configurability. Avoid mod_python because it is basically unsupported. On the other hand, mod_wsgi is very well supported and gives you better stability (in other words, easier to configure for cpu/memory usage to be stable as opposed to spikey and unpredictable).
Another huge benefit, you can configure mod_wsgi to reload your application if the wsgi application script is touched, no need to restart Apache. For development/testing servers you can even configure mod_wsgi to reload when any file in your application is changed. This is so helpful I even run Apache+mod_wsgi on my laptop during development.
Nginx and lighttpd are commonly used for webservers, either by serving Python apps directly through a fastCGI interface (don't bother with any WSGI interfaces on these servers yet) or by using them as a front end in front of Apache. Calls into the app get passed through (by proxy) to Apache+mod_wsgi and then nginx/lighttpd serve the static content directly.
Nginx has the added advantage of being able to serve content directly from memcached if you want to get that sophisticated. I've heard disparaging comments about lighttpd and it does seem to have some development problems, but there are certainly some big companies using it successfully.
Python stack
At the lowest level you can program to WSGI directly for the best performance. There are lots of helpful WSGI modules out there to help you in areas you don't want to develop yourself. At this level you'll probably want to pick third-party WSGI components to do things like URL resolving and HTTP request/response handling. A great request/response component is WebOb.
If you look at Pylons you can see their idea of "best-of-breed" WSGI components and a framework that makes it easier than Django to choose your own components like templating engine.
Django might be overkill but I don't think that's a really good argument against. Django makes the easy stuff easier. When you start to get into very complicated applications is where you really need to look at moving to lower level frameworks.
Look at Google App Engine. From their website:
Google App Engine lets you run your
web applications on Google's
infrastructure. App Engine
applications are easy to build, easy
to maintain, and easy to scale as your
traffic and data storage needs grow.
With App Engine, there are no servers
to maintain: You just upload your
application, and it's ready to serve
your users.
You can serve your app using a free
domain name on the appspot.com domain,
or use Google Apps to serve it from
your own domain. You can share your
application with the world, or limit
access to members of your
organization.
App Engine costs nothing to get
started. Sign up for a free account,
and you can develop and publish your
application for the world to see, at
no charge and with no obligation. A
free account can use up to 500MB of
persistent storage and enough CPU and
bandwidth for about 5 million page
views a month.
Best part of all: It includes Python support, including Django. Go to http://code.google.com/appengine/docs/whatisgoogleappengine.html
When you use mod_python on a threaded Apache server (the default on Windows), CherryPy runs in the same process as Apache. In that case, you almost certainly don't want CP to restart the process.
Solution: use mod_rewrite or mod_proxy so that CherryPy runs in its own process. Then you can autoreload to your heart's content. :)

Categories