Courses/Technical Proficiency/Distributed Systems Architecture for Hyper-Scale
Expert7 lessons • 9h 0m

Distributed Systems Architecture for Hyper-Scale

Design systems that serve billions of users. CAP theorem trade-offs, consensus protocols, and the economics of reliability engineering.

You will design the architecture for a global financial trading platform that must process 100,000 transactions per second with less than 10ms latency—and cannot afford to lose a single transaction. This course covers the deep theory: Byzantine fault tolerance, Paxos and Raft consensus, CRDTs for eventual consistency, and the formal verification of distributed protocols. You'll also grapple with the economics: When is 99.99% uptime not enough? How do you price SLAs? What's the marginal cost of another "nine"?
Your Progress0%
Skills you'll master:
Consensus ProtocolsCAP Trade-offsReliability EngineeringCapacity Planning
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⚠️ Prerequisites

Syllabus

0 of 7 lessons complete
1
The Physics of Distributed Systems
📖Reading•50m
2
CAP Theorem and Trade-off Analysis
💻Interactive Lab•60m
3
Consensus: From Paxos to Raft
📖Reading•75m
4
Eventual Consistency and CRDTs
💻Interactive Lab•60m
5
Reliability Engineering Economics
📊Case Study•90m
6
Chaos Engineering in Practice
🎮Simulation•75m
7
Capstone: Design Review for a Global Payments Platform
👥Peer Review•120m