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

Part 3: Derived Data

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

System Design Case Studies

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

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Designing Data-Intensive Applications

Part 2: Distributed Data

Ch. 6: Partitioning

Splitting data across nodes — key-range vs hash partitioning, rebalancing, and routing.

Partitioning of Key-Value Data

Section lesson

Partitioning and Secondary Indexes

Section lesson

Rebalancing Partitions

Section lesson

Request Routing

Section lesson

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