Where to go next
Building small- to medium-sized distributed applications in Python, as we saw, is not particularly difficult. Once a distributed system grows to a larger size, the design and development effort needed tends to grow as well in a super-linear fashion.
In these cases, a more solid foundation on the theory of distributed systems becomes necessary. There are a number of resources available both online and offline. Most big universities give courses on this subject, and a number of them are freely available online.
One good example is the ETH course on Principles of Distributed Computing (http://dcg.ethz.ch/lectures/podc_allstars/index.html), which covers a number of fundamentals, including synchronization, consensus, and eventual consistency ...
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