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
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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
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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
9
Case 9Collaboration Tools
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Case 10Multistep Forms & Wizards

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Designing Data-Intensive Applications

System Design Case Studies

Case 2: Designing YouTube

Video upload, transcoding pipelines, CDN delivery, and metadata at billions of views.

Requirements and Constraints

Section lesson

Back-of-the-Envelope Estimation

Section lesson

Upload, Transcode, and Serve

Section lesson

Caching, Popularity, and Cost

Section lesson

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