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

Part 1: Foundations of Data Systems

1
Ch. 1Reliable, Scalable, and Maintainable Applications
2
Ch. 2Data Models and Query Languages
3
Ch. 3Storage and Retrieval
4
Ch. 4Encoding and Evolution

Part 2: Distributed Data

5
Ch. 5Replication
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Ch. 6Partitioning
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Ch. 7Transactions
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Ch. 8The Trouble with Distributed Systems
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Ch. 9Consistency and Consensus

Part 3: Derived Data

10
Ch. 10Batch Processing
11
Ch. 11Stream Processing
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Ch. 12The Future of Data Systems

System Design Case Studies

1
Case 1System Design Foundations
2
Case 2Designing YouTube
3
Case 3Designing WhatsApp
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Case 4Reservation & Booking Systems
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Case 5Voting Systems
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Case 6Multiplayer Games
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Case 7Multiplayer Puzzle Games
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Case 8Multistep Systems & Workflows
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Case 9Collaboration Tools
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Case 10Multistep Forms & Wizards

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Designing Data-Intensive Applications

Part 3: Derived Data

Ch. 11: Stream Processing

Event streams, change data capture, and reasoning about time in motion.

Transmitting Event Streams

Section lesson

Databases and Streams

Section lesson

Processing Streams

Section lesson

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