10:00am–10:40am Friday, 07/20/2012
While there are many ways to design compute clusters, leveraging fast message queueing for all facets of system operation may be among the most elegant. Topics will include job collection, automatic load balancing, analytics, monitoring, and scaling. Learn real-world best practices and gotchas discovered while scaling an AMQP-based document processing backend to support over 8 million users.
9:00am–12:30pm Tuesday, 07/17/2012
Want to write Node.JS applications and want someone to show you the ropes? In this workshop we will go through a quick paced introduction to node.JS, and will introduce the basic principles of writing evented IO applications. For the more advanced developers it will be interactive on the depth of certain subjects.
11:00am–11:40am Friday, 07/20/2012
Are you building a big app, and wondering why NodeJS backends scale so well for applications? At Cloud9 we have built our entire backend in Node.JS, and it has taught us a lot of lessons. In this presentation i want to go through what we learned at Cloud9 IDE also want to give attention to common pitfalls and tracing bugs.
10:40am–11:20am Thursday, 07/19/2012
You'll often hear that some web framework "doesn't scale". Well, it's true! Django, like all web frameworks. offers a ton of shortcuts for common cases, but as sites grow these shortcuts come at the cost of performance. However, you don't have to throw the baby out with the bathwater; come to this talk to hear how you can win back performance while hanging on to the framework you love.
4:10pm–4:50pm Wednesday, 07/18/2012
Using the AWS infrastructure, affordable third party services and solid Open Source Software, this talk will focus on setting up a solid operations environment and practice that will scale with your site.
1:40pm–2:20pm Wednesday, 07/18/2012
Turning billions of events into near-realtime analytics is hard. Urban Airship collects events from hundreds of millions of mobile apps and turns them into meaningful analytics using open source technology like Hadoop, Kafka and HBase. We’ll cover near-realtime big data scaling techniques from the architectural level to the operational level.