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Mastersystem design.From zero to senior.

$ learn

A free field guide to building scalable systems. Beginner-friendly fundamentals, deep architectural deep-dives, and 55+ FAANG-grade interview problems — all in one place, all with diagrams.

12 modules
Crash Course
22
Deep Dives
55+
Interview Problems
30+ hrs
Reading Time
// 01 — START HERE

The crash course

No system design background? Start here. Twelve focused modules that cover the prerequisites — networking, databases, caching, queues — before you tackle full systems.

See the full roadmap →
// 02 — DEEP DIVES

Featured articles

Real systems — Twitter, Uber, YouTube, WhatsApp — broken down. Every article is tagged by difficulty and ships with sequence and architecture diagrams.

All articles →
◆◆◆AdvancedAWSKafka
01

Object-Storage-First: S3 Is Becoming the New Disk

Kafka, warehouses, observability stores, and Postgres are moving durable bytes to object storage. The cost math, the latency floor, and what still needs disks.

#architecture#storage#streaming
15 min
◆◆IntermediateSalesforceAWS
02

Multi-Tenancy — Silo, Pool, and the Noisy Neighbor Problem

Should each customer get their own stack or share one? Tenant isolation models, noisy neighbors, blast radius, and how cross-tenant leaks actually happen.

#architecture#isolation#database
19 min
◆◆◆AdvancedTemporalRestate
03

Durable Execution: How Temporal-Style Replay Works

Durable execution is event sourcing plus deterministic replay applied to your code. How Temporal-style engines journal effects, replay crashes, and break.

#distributed-systems#reliability#architecture
21 min
◆◆IntermediateStripeSvix
04

Design a Webhook Delivery System

Design a webhook delivery system: fan-out queues, retries with backoff and jitter, HMAC signing, circuit breakers, and dead-letter redelivery at Stripe scale.

#interview#messaging#queues
18 min
◆◆IntermediateAnthropicOpenAI
05

Model Context Protocol (MCP) and Tool-Use Infrastructure

How MCP lets any LLM host discover and call any tool server — collapsing N×M integrations to N+M, with the security, reliability, and token math that matters.

#ai#llm#agents
31 min
◆◆◆AdvancedLangChainLangfuse
06

Design an LLM Observability Platform

Design an LLM observability platform: distributed tracing for multi-step LLM apps capturing every prompt, token count, and cost to debug failed agent runs.

#interview#ai#llm
32 min
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Build it. Scale it.
Ship it.

Whether you're prepping for a senior interview or just want to understand how the internet's largest systems work — start here.