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Okay, starting with the absolute basics here, just a single web server handling everything. It's a familiar starting point, but you can already sense the limitations coming, right?

So, the DNS points to the single server, which is doing literally *everything* – backend, database, cache, all rolled into one. That makes total sense why it's not scalable; the data growth alone would choke it out.

Ah, this distinction between vertical and horizontal scaling is key. Vertical scaling, just beefing up one machine, always hits a ceiling, which is why horizontal scaling, adding more machines, is the way to go for serious scale.

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The initial system design focuses on a single web server handling all requests, a setup inherently limiting scalability [0:00]. This rudimentary architecture quickly becomes problematic as data grows, necessitating a shift towards more robust solutions. The concept of horizontal scaling, adding more servers rather than upgrading a single one, is introduced as the preferred method for large-scale applications, offering redundancy and fault tolerance [0:56-1:24]. To manage requests across multiple servers, a load balancer becomes crucial, directing traffic to the least busy server and abstracting the internal server IPs for improved security [1:52].

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System Design: Scale System From - AI Video Analysis

AI Commentary

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