Module 1
Core concepts every system design discussion starts with: scalability, reliability, CAP theorem, and back-of-the-envelope estimation.
An introduction to system design: what it is, why it matters in software engineering, and how it is evaluated in technical interviews.
Understand the two fundamental scaling strategies, their trade-offs, and when to apply each approach in real systems.
Learn the differences between reliability and availability, how to measure them with nines, and patterns for building fault-tolerant systems.
Deep dive into the CAP theorem, its practical implications, and the PACELC extension that covers latency vs consistency trade-offs.
From strong consistency to eventual consistency and everything in between: causal, read-your-writes, and monotonic reads.
How to define and measure service reliability using Service Level Agreements, Objectives, and Indicators. Real examples from production systems.
Master the art of quick estimation: latency numbers, storage calculations, QPS estimates, and the systematic approach interviewers expect.