Designing Data-Intensive Applications

  Based on Designing Data-Intensive Applications (2nd ed.) by Martin Kleppmann & Chris Riccomini

  All Series

• Part 1: Trade-Offs in Data Systems Architecture

  8 min read  ·  June 04, 2026

• Part 2: Defining Non-Functional Requirements

  9 min read  ·  June 04, 2026

• Part 3: Data Models and Query Languages

  12 min read  ·  June 04, 2026

• Part 4: Storage and Retrieval

  12 min read  ·  June 04, 2026

• Part 5: Encoding and Evolution

  14 min read  ·  June 04, 2026

• Part 6: Replication

  9 min read  ·  June 06, 2026

• Part 7: Sharding

  11 min read  ·  June 06, 2026

• Part 8: Transactions

  13 min read  ·  June 06, 2026

• Part 9: The Trouble with Distributed Systems

  17 min read  ·  June 15, 2026

• Part 10: Consistency and Consensus

  16 min read  ·  June 16, 2026

• Part 11: Batch Processing

  13 min read  ·  June 26, 2026

• Part 12: Stream Processing

  14 min read  ·  June 26, 2026

• Part 13: A Philosophy of Streaming Systems

  15 min read  ·  June 26, 2026

• Part 14: Doing the Right Thing

  12 min read  ·  June 26, 2026