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Chatty - Case Study, Edan Maor & Ofir Ovadia by Mind Map: Chatty - Case Study, Edan Maor & Ofir Ovadia
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Chatty - Case Study, Edan Maor & Ofir Ovadia


Chatty is a Group Chat for every site

chat with others current guests to the site

was used in #J14 home page,

also in many other sites


review production problems they had

open discussion on servers maintenance & scaling






Redis, for faster operations, to lower the load on the database, on the poll pings


Client-Server interaction

download script

initial sync

get current members


every 2 sec

get new messages

send message



1 box in Slicehost, apache + mod_wsgi instances, redis, MySQL

then took larger machine, every time it couldn't handle the load, several times

Till 1 machine couldn't handle the load

Then paniced & understood they need to change architecture


topology, Rackspace load balancer, service, Many web server boxes, NGINX & gunicorn processes, gunicorn is much more predictable in RAM usage, unlike Apache, gunicorn process per core, NGINX feeds responses to clients, at their own speed, Very easy to work with Gunicorn & Django, much easier than Apache, 1 box for MySQL & Redis

very easy to add nodes

handles load well

Open discussion

Better server architecture

what simple things can improve this architecture?

Suggestions, There's a problem because the Polling architecture, Maybe Django isn't the right choice, need something like Comet, Gunicorn have async handlers, Can optimize with etags, to stop the request handling in the NGINX level, because it will know that there're no updates, Use physical & not virtual machine for DB server, for faster IO, do top & check on load, or use SAR, Use Pure Django over AppEngine, use the Channel API for push, Use for push

Meta remark, first understand your bottleneck, know what should be attacked


Suggested tools, Nagios, Zabix