JRuby vs. Rubinius at Wroclove 2012

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Wooga

Watch the video from Wroclove here: 2012-03-10, wrocloverb.com http://www.youtube.com/watch?v=AYYGage3B-I

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At wooga we build backends for games that have millions of daily users. In the gaming business we have a write heavy environment, with a high frequency of requests, traffic bursts and distribution across many nodes. These are all problems we need to solve and keep in mind in order to write a system that stands the chance of supporting the required load. How do you meet the challenge of writing a brand new system with performance in mind? Where should the line between necessary efficiency and premature optimization be drawn? How do you measure performances? How do we generate synthetic load that reflects real usage patterns? How do you know you have enough capacity? How do you combine all the above with safely introducing changes and new features working in a two people team? We had to answer to all the above questions and we want to share the solutions we found and the problems that we consider still open.

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At Wooga we are creating the next generation of social games. To be truly social, a game needs to offer real interaction between players in different forms. Taking one of our upcoming games as an example we will present the state synchronization used in client and server, how we do real time communication without websockets and how we are making a backend scalable enough to support millions of users every day. We will also share secrets about our prototypes for first person and real time strategy games. The Erlang process model with evented IO, asynchronous messaging, links and isolation fits very well to real time multiplayer games. Come to our talk to see how it's used to build a very successful business.

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The talk is about a stateful application server built on top of JRuby/JVM. We at Wooga have built and evaluated such an application server, and now I want to share the learnings and obstacles that came up during development. Scaling up: We aim to fully utilize our available hardware. One box has 32 Cores and more than 32GB RAM available. How to saturate such beasts? Well, since JRuby supports real Threads we can share state (uh oh!) and saturate cores. Scaling out: What are the options for scaling a stateful application server? How to shard state across many servers safely? I aim for a talk that gives useful tips and shows code. Basically a ratio between 30% background information, 70% showcasing. The talk will cover the following topics: Safely sharing state in a concurrent environment using JRuby Using Java concurrency utils in JRuby Practical tips for tuning JRuby/JVM for maximum throughput Practical tips for evaluating performance tunings Bonus: Timetraveling

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