Synchronous vs Asynchronous Programming
1,287We all learn to program by learning synchronous programming first. We call a function, and our code stops and doesn't do the next thing until we receive a response. The trouble is that as soon as our systems get even a little more complex than that, this complexity explodes. In large-scale, high-volume, distributed systems synchronous programming doesn't work very well.
In this episode Dave Farley, author of "Continuous Delivery" and "Modern Software Engineering", explores synchronous vs asynchronous programming. Dave explores the idea that async is the simpler, maybe more fundamental, idea, and looks at a few examples that suggest that at least for distributed systems asynchrony is faster, more reliable, and surprisingly, easier.
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🖇 LINKS:
🔗 The Reactive Manifesto ➡️ https://www.reactivemanifesto.org
🔗 Martin Fowler's Article on the LMAX Architecture ➡️ https://martinfowler.com/articles/lmax.html
🔗 LMAX Disruptor ➡️ https://lmax-exchange.github.io/disruptor/
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