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Networking, scalability, load balancing, caching, APIs, rate limiting, consistent hashing, databases, sharding, async messaging, observability, and a repeatable framework for the interview itself.
Haithem
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
System design interviews test a different skill than DSA or LLD: there's no single correct answer, and the interviewer is evaluating your process — how you clarify requirements, reason about scale, and navigate tradeoffs — as much as the final diagram. This course builds the full concept vocabulary every system design answer draws from — from how a request physically reaches your server (DNS, TCP, HTTP) through load balancing, caching, API design, rate limiting, consistent hashing, databases at scale (indexing, transactions, sharding), async messaging, and observability — and then teaches the actual interview framework for turning that vocabulary into a structured 45-minute answer.
This course is the theory companion to the System Design practice bank (/practice?track=SYSTEM_DESIGN) — read a module here, then go work through a named design problem (Design a URL Shortener, Design Instagram's Feed, and others) to apply it. Several modules include an animated, step-through diagram — the DNS resolution chain, a token-bucket rate limiter actually accepting and rejecting requests, a consistent hash ring absorbing a new server with minimal disruption, hash-based shard routing, and a distributed trace's spans — so the mechanics aren't just described in prose, they're shown running.
Anyone preparing for a system design interview round — a format used from mid-level up through staff/principal loops at nearly every tech company — who wants the underlying concepts explained clearly, and shown in motion, rather than memorized as buzzwords.

Master the coding interview process end-to-end: problem-solving approach, communication, and behavioral rounds.
System Design Interview Foundations
Cours gratuit
Scaling from one server to millions of users
Load balancers, caches, and CDNs — the traffic-shaping layer
Choosing and scaling your data layer
Decoupling with queues and pub/sub
DNS, TCP, and how a request actually reaches your server
Choosing between REST, GraphQL, and gRPC — and sync vs async communication
Token bucket, leaky bucket, and sliding window rate limiting
Why plain hashing breaks on resize, and how consistent hashing fixes it
How an index makes queries fast, and what ACID really guarantees
Range, hash, and directory-based sharding — and what breaks
The three pillars of observability, and how distributed tracing works
A repeatable framework for any system design interview
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