We saw Disqus’ space after it was originally fitted out, but they grew since those images were taken. So naturally I snapped some images of the changes during my visit earlier this year. The first thing you’ll notice is the increase in the number of employees, which is growing into the thirties. One of the best things about the space is that it just doesn’t seem like that many people work there. E
As we’re approaching 8 billion page views per month and 45k requests per second, we’ve learned a couple things about delivering comments to a lot of different people. Disqus is very well known for using Django for almost all of our web traffic, and that continues to be a thing today. As with any web framework, there are inherent trade-offs: rapid development vs performance, familiarity for new dev
Django at Scale slides written on Friday, June 24, 2011 Last night I gave a talk on scale at AWPUG. I'll admit I had no real idea what I was going to talk about until about two days before, so... your milage with these slides may vary. Most things worth discussing in a group are applicable to more than yourself and by definition reusable. Thankfully Disqus has released a lot of code related to pro
Redis at Disqus written on Monday, February 21, 2011 We've been running Redis in production for a bit over three months now on projects ranging from critical (paying premium users) to experimental (in-house). Just as Will at Bump was inspired by someone else, I was inspired by Will to do a write up on what we're up to. Analytics Our entire premium analytics service runs on Redis. These stats are,
Disqus, one of the largest Python applications on the web, will explain how they deal with scaling complexities in a growing startup. Founded in 2007, Disqus maintains a small engineering team reaching over 400 million users a month. Being powered by Python has allowed quick iteration of the application, without sacrificing code quality and performance. The talk will cover key parts of the archite
Disqus, one of the largest Django applications in the world, will explain how they deal with scaling complexities in a small startup. There are many benefits to keeping a lightweight stack. At Disqus, keeping the stack thin helps us scale Django to reach over 125 million unique visitors a month with just a small team of engineers. Avoiding complicated software packages until needed reduces unneces
DISQUS is a comment system that handles high volumes of traffic, with up to 17,000 requests per second and 250 million monthly visitors. They face challenges in unpredictable spikes in traffic and ensuring high availability. Their architecture includes over 100 servers split between web servers, databases, caching, and load balancing. They employ techniques like vertical and horizontal data partit
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