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System Design · generic · advanced

Distributed Systems: Design & Implementation

A graduate-level distributed systems course modelled after MIT 6.5840 (Robert Morris), CMU 15-440, and Berkeley CS262. Build a deep understanding of the core abstractions that underpin every modern cloud system — consensus, replication, consistency, transactions, and storage. Includes implementations of Raft, consistent hashing, and a toy key-value store. MIT course materials regularly go viral on Hacker News; this course distils the best of those lectures.

  • 14 hours
  • 33 lessons
  • 7 modules
  • 50-question practice exam
  • updated June 2026
Module 1 freeNo credit cardFull course from $8.99/mo
try it

Try it before you sign up

Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.

free lesson · read · 35 min

Why Distributed Systems and Their Core Challenges

A single machine has hard physical limits. Distributed systems allow us to: The price: complexity. Distribution introduces failure modes that don't exist on a single machine. Originated at Sun Microsystems in the 1990s.…
question 1 of 3 · from the Module 1 quiz
What is the key limitation of Lamport timestamps compared to vector clocks?
Pick an answer.
curriculum

7 modules, 33 lessons

Module 1 is free — lessons, hands-on walkthrough and quiz. The course ends with a 50-question practice exam.

  • readWhy Distributed Systems and Their Core Challenges35 min
  • videoDistributed Systems Lecture – MIT 6.584030 min
  • readImplementing Lamport and Vector Clocks in Python25 min
  • quizDistributed Systems Fundamentals Quiz15 min
how it's built

Built by the CloudaQube team

No celebrity instructor — here is exactly what goes into the course instead.

  • 01 1 guided hands-on walkthroughs you run in a real environment.
  • 02 7 module quizzes and a 50-question practice exam — every answer comes with an explanation.
  • 03 Last updated June 2026.
  • 04 Any module can become a hands-on lab in Labs Studio.
outcomes

What you'll be able to do

  • 01 Explain the CAP theorem and PACELC and apply them to real database selection decisions
  • 02 Implement Raft leader election and log replication from scratch
  • 03 Describe quorum-based replication and anti-entropy in leaderless systems
  • 04 Analyse consistency models: strong, causal, eventual, and linearisability
  • 05 Design distributed transactions using 2PC, 3PC, and the SAGA pattern
  • 06 Explain the internal architecture of Google Spanner, Apache Kafka, and DynamoDB
before you start
  • — Solid understanding of operating systems (processes, threads, locks)
  • — Experience with at least one systems programming language (Go, Java, C, Python)
  • — Familiarity with basic networking (TCP/IP)
  • — Data structures and algorithms at an intermediate level
questions

Before you start

How long does it take?

About 14 hours of lessons, videos and hands-on walkthroughs across 7 modules, plus a 50-question practice exam.

What’s free?

Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 7 modules and the practice exam, and starts with a 14-day free trial.

get started

Start the course with Module 1 free.

No card required. Unlock every module and the practice exam from $8.99/mo when you’re ready.

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