SDA System Design Academy An illustrated distributed systems course
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Senior system design curriculum

Think in systems.
Communicate like a senior.

Build the judgement to navigate a demanding system design interview: precise requirements, defensible trade-offs, and architecture you can explain under pressure. Every lesson turns theory into a clear move on the whiteboard.

55 focused lessonsDesigned for the signal interviewers actually look for.

Taught, not listed

Full explanations, analogies, and worked reasoning for every topic.

Diagram-first

Each lesson ships with a clean, redrawable architecture diagram.

Trade-offs & pitfalls

Where each approach breaks, and how a senior engineer answers.

12progressive modules
55whiteboard-ready lessons
55architecture diagrams
8capstone briefs

Your interview readiness

Build judgement,
not just a toolkit.

Great answers have a shape. This learning path helps you move from foundational mechanics to the nuanced decisions that separate a solid answer from a senior one.

22readiness score
0 / 55lessons mastered
Start with the foundations

Skill signal

Interview confidence

On track
SeniorStrongBaseline
FoundationsScaleTrade-offsFailureSimulations

The goal: make every design choice sound intentional, measured, and calm.

The senior playbook

A repeatable shape for any prompt.

  1. 01
    FrameScope + SLOs
  2. 02
    ModelAPIs + data
  3. 03
    ScaleLoad + hotspots
  4. 04
    DefendFailure + cost

Three ways to level up

Pick a track: think big, then build precise.

Beyond the fundamentals, the course now ships three focused tracks — a high-level design playbook, a library of the most-asked system designs, and an object-oriented low-level design track. Jump straight into any of them.

HLD · 5 lessons

High-Level Design

A repeatable method for any architecture prompt: scope, estimate, model, draw the baseline, then harden for scale and failure.

  • Estimation
  • API & data
  • Patterns
  • Scaling toolkit
HLD · 14 designs

Popular System Designs

The classics, each worked end-to-end like a real 45-minute interview — requirements, estimation, architecture, deep dive, trade-offs.

  • TinyURL
  • Twitter
  • WhatsApp
  • Uber
  • YouTube
  • Rate limiter
LLD · 12 lessons

Low-Level Design

Object-oriented design that survives code review: SOLID, the patterns that matter, and the classic LLD problems with class models.

  • SOLID
  • Design patterns
  • Parking lot
  • Elevator
  • LRU cache

The course

Read it front to back, or dive into any topic.

Pick a module on the left and open any lesson. Each one is a complete, self-contained explanation with a diagram. Your progress is saved in this browser automatically.

Module 01 · Requirements

Lesson 1

Foundations

Lesson

Keyboard: J next · K previous · M complete · / search

Interview command center

Answer with senior structure, not random buzzwords.

Use this operating system in every round: clarify scope, set SLOs, propose architecture, expose trade-offs, and close with failure handling and evolution.

The 45-minute answer

Keep the conversation moving from intent to confidence.

  1. 00–05Clarifyuser, scope, SLO
  2. 05–15BaselineAPI, data, flow
  3. 15–32Pressure-testscale, cache, queue
  4. 32–45Defendfailure, cost, evolution

8-step whiteboard flow

  1. Clarify product scope, users, and non-goals.
  2. Set scale assumptions and concrete SLOs.
  3. Define core APIs and data entities.
  4. Draw baseline architecture for the happy path.
  5. Bottleneck hunt: latency, throughput, and hotspots.
  6. Add scale tools: cache, queue, partition, replication.
  7. Cover failure, consistency, and disaster recovery.
  8. Close with observability, cost, and rollout plan.

Trade-off matrix interviewers love

  • Latency vs consistency: strict reads for money; eventual for feeds.
  • Availability vs correctness: fail open only for non-critical flows.
  • Write cost vs durability: quorum writes for irreversible events.
  • Simplicity vs flexibility: default to fewer moving parts first.
  • Cost vs reliability: map each extra nine to business impact.

Red flags to avoid in rounds

  • Starting with Kafka, Redis, and sharding before requirements.
  • Giving average latency while ignoring p95/p99.
  • Saying “highly available” without an explicit SLO.
  • No story for idempotency, retries, or backpressure.
  • No visibility plan: metrics, logs, traces, alert ownership.
60-second drills

Practice requirement extraction, API sketching, and SLO framing in timed bursts.

10-minute deep dives

Take one subsystem and defend consistency, durability, and scaling choices.

45-minute full simulations

Run the full loop end to end with clear assumptions and trade-off language.

Capstone practice

Premium capstone tracks for interview mastery.

Design these end to end, then evaluate yourself with explicit scoring: requirements clarity, architecture quality, failure depth, and trade-off reasoning.

01

URL shortener

Key generation, redirect latency, analytics pipeline, abuse controls, and durability.

02

Fraud detection

Streaming ingestion, feature stores, low-latency scoring, replayability, and model safety.

03

Authentication system

Token lifecycle, revocation, session consistency, rate limiting, and auditability.

04

Monitoring platform

Metric ingestion, time-series storage, alert reliability, and dashboard query speed.

05

Global chat platform

WebSocket fanout, delivery guarantees, presence, unread counters, and multi-region routing.

06

Ride-matching engine

Geo-indexing, dispatch fairness, surge pricing events, and failover during city spikes.

07

Video streaming service

Upload pipeline, transcoding queues, CDN edge caching, and personalized recommendation feeds.

08

Event ticketing system

Hot partition prevention, seat reservation consistency, payment idempotency, and anti-bot defense.

Post-interview debrief

Score the signal, not the swagger.

24 point rubric

Requirements: did you scope clearly with explicit non-goals?

Scale: were throughput, storage growth, and peak factors quantified?

Architecture: is the baseline simple and logically complete?

Trade-offs: did you justify alternatives and reject options on purpose?

Reliability: did you cover retries, idempotency, and recovery paths?

Operations: did you include observability, rollout, and cost?