System Design
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Learn how to design scalable, reliable, and maintainable systems — from single servers to distributed architectures used by millions of users.
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When a production system breaks at 3am, you need to answer three questions fast: what happened, how bad is it, and where is the bottleneck? Logs tell you what h…
Scaling is how a system handles more users, data, or traffic. Vertical scaling (scale up) means giving your existing server more resources — bigger CPU, more RA…
Caching is the fastest way to scale a system without changing your database or adding servers. Done right, it cuts database load by 90%, drops response times fr…
The CAP theorem states that a distributed system can guarantee at most two of three properties: Consistency (every read returns the latest write), Availability …
Every new project faces the same question: one big application or many small services? The answer is rarely binary. A monolith ships fast and stays simple until…
Load balancers distribute incoming traffic across multiple servers so no single machine becomes a bottleneck. But not all load balancers work the same way. Laye…
Every public API needs rate limiting — to prevent abuse, protect downstream services, and ensure fair usage across tenants. Without it, one aggressive client ca…
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