An interactive study companion for Martin Kleppmann's classic on reliable, scalable, and maintainable systems.

Part 1: Foundations of Data Systems

Part 2: Distributed Data

Part 3: Derived Data

System Design Case Studies

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Designing Data-Intensive Applications

System Design Case Studies

Case 5: Voting Systems

One person one vote, tamper resistance, auditability, and handling viral traffic spikes.

Requirements and Constraints

Section lesson

Back-of-the-Envelope Estimation

Section lesson

Ballots, Tallies, and Audits

Section lesson

Inspired by DDIA by Martin Kleppmann. Independent study companion — not affiliated with O'Reilly.