Distributed Systems: Design & Implementation

Name: Distributed Systems: Design & Implementation
Availability: InStock

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.

4.90/5.0

14 hours

1 enrolled

Updated May 2026

Course Content ↓

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By CloudaQube Team

What You'll Learn

Explain the CAP theorem and PACELC and apply them to real database selection decisions

Implement Raft leader election and log replication from scratch

Describe quorum-based replication and anti-entropy in leaderless systems

Analyse consistency models: strong, causal, eventual, and linearisability

Design distributed transactions using 2PC, 3PC, and the SAGA pattern

Explain the internal architecture of Google Spanner, Apache Kafka, and DynamoDB

Prerequisites

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

About the Instructor

CloudaQube Team

Expert instructor with hands-on industry experience in System Design.

Included in paid plans

LevelAdvanced

Duration14 hours

Lessons—

Students1

Rating4.90 / 5.0

This course includes

Hands-on practice labs
AI-powered explanations
Progress tracking
Certificate of completion
Lifetime access

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