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Distributed architecture concepts I learned while building a large payments system - The Pragmatic Engineer

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When building a large scale, highly available and distributed system, what architecture concepts do you need to use, in practice? In this post, I am summarizing ones I have found essential to learn and apply when building the payments system that powers Uber. This is a system with a load of up to thousands of requests per second, where critical payments functionality needs to work correctly, even if parts of the system are down. As background: I joined Uber two years ago as a mobile software engineer with some backend experience. I ended up building the payments functionality in the app - and rewriting the app on the way. Afterwards, I ended up moving into engineering management, heading up the team itself. This meant getting exposed to more backend, as my team is responsible for many of the backend systems that enable payments. Before working at Uber, I had little to no distributed systems experience. My background is a traditional computer science degree and a decade of full stack so

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