Distributed systems products are often marketed with terms like “real-time data” and “hassle-free scaling”, but what do those terms actually mean? Is data in a distributed system ever reliably “real time”? Do we ever have strong enough plans about our scalability strategy to say that scaling will be “hassle free”?

Camille Fournier joins us today to discuss distributed systems in practice. Like everything in else in computer science, distributed systems are all about tradeoffs–and picking the right sets of tradeoffs in our distributed system will affect the entire organization that is building that system.

We also discuss the Cloud Native Computing Foundation, which is similar to the Apache Foundation, but specifically for cloud technologies. The CNCF is likely to have strong impact on the way we build software for a long time to come.

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