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10-part series

System Design course for beginners — scale systems from 1 to 1M users

Free system design course: 10 lessons from monolith, Redis, CDN, replicas, load balancers, queues, and sharding to interview prep and a URL shortener capstone—with architecture diagrams.

This **beginner system design** course is for developers and interview prep—no prior distributed-systems background required. You scale **from one user toward ~1M MAU** using a **URL shortener (ShortLink)** case study: monolith, PostgreSQL, **Redis**, **CDN**, **read replicas**, **load balancers**, **message queues**, **sharding**, and **multi-region** patterns.

Start with part 1 — metrics and estimation. See also: Learn system design from scratch.

Start with part 1 →

System design FAQs

What is system design for beginners?

System design is how you pick components—databases, caches, load balancers, queues—so the product meets traffic, latency, and reliability goals. This 10-part course scales a ShortLink app from one user toward ~1M users; start at part 1.

Does this course help with system design interviews?

Yes at junior–mid level: metrics, QPS estimates, cache-aside, replicas, load balancing, queues, sharding, and a capstone mock. Part 9 is a cheat sheet; part 10 includes a rubric.

How do you scale from 1 to 1 million users?

Follow the series: managed DB → Redis + CDN → read replicas → horizontal app + LB → queues and service split → sharding and multi-region—adding complexity only when SLOs require it.

How is this different from general software design?

Interview-style system design focuses on distributed trade-offs: throughput, consistency, failure modes, and infrastructure cost at scale—not just coding patterns or SDLC process.

All parts in this series

  1. System design for beginners (1/10): Metrics, QPS, and CAP theorem1Metrics & CAP foundationsWhat is system design? Free 10-part course: requirements, QPS, p99, availability, CAP—ShortLink traffic estimates from 1 to 1M users. Roadmap: learn-system-design-basics-from-scratch1 min read · 9/11/2026
  2. Monolith system design (2/10): Single-server MVP architecture2Single-server monolithMVP system design: monolith, Nginx, single PostgreSQL—URL shortener API, SQL schema, redirect flow, failure modes before scaling.1 min read · 9/11/2026
  3. Database scaling (3/10): ~100 users — managed Postgres & pooling3DB split & ops~100 users system design: managed PostgreSQL, connection pooling, health checks, and backups.1 min read · 9/11/2026
  4. Redis & CDN (4/10): Cache-aside pattern at ~1K users4Redis + CDNRedis cache-aside, CDN, rate limits—cut PostgreSQL load on ShortLink redirects; handle viral hot keys.1 min read · 9/11/2026
  5. Read replicas (5/10): Read/write split at ~10K users5Read replicasRead replicas, replication lag, read-your-writes, indexes, S3 exports—protect the primary DB.1 min read · 9/11/2026
  6. Load balancing (6/10): Horizontal scaling at ~100K users6Load balancingL7 load balancers, stateless apps, Redis, autoscaling, async click counts—horizontal scaling.1 min read · 9/11/2026
  7. Message queues (7/10): Kafka/SQS at ~500K users7Message queuesEvent-driven design: queues, thin redirect service, analytics workers, idempotency, DLQ.1 min read · 9/11/2026
  8. Sharding & multi-region (8/10): Design for ~1M users8Sharding & regionsDatabase sharding, multi-region edge, DR metrics, observability and SLOs at ~1M users.1 min read · 9/11/2026
  9. System design interview (9/10): Cheat sheet & 30-min mock9Interview cheat sheetInterview prep: LB, Redis, CDN, queues, sharding cheat sheet; 30-minute structure; trade-off checklist.1 min read · 9/11/2026
  10. URL shortener capstone (10/10): System design at 1M MAU10ShortLink capstoneURL shortener interview spec: 20k redirect RPS, 200 writes/s, p99 and availability—rubric and sample solution.1 min read · 9/11/2026

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