Why Are Distributed Systems so Hard?
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Distributed systems are known for being notoriously difficult to wrangle. But why? This talk will cover a brief history of distributed computing, clear up some common myths about the CAP theorem, dig into why network partitions are inevitable and close out by highlighting how a few popular consensus algorithms mitigate the risks of operating in a distributed fashion. We'll also take a look at how to design systems that take into account human factors, which can help reduce the impact of programmatic uncertainty.
Transcript
Distributed systems are known for being notoriously difficult to wrangle. But why?
This talk will cover a brief history of distributed computing, clear up some common myths about the CAP theorem, dig into why network partitions are inevitable and close out by highlighting how a few popular consensus algorithms mitigate the risks of operating in a distributed fashion. We'll also take a look at how to design systems that take into account human factors, which can help reduce the impact of programmatic uncertainty.
About the speakers
Senior software engineer at GitHub