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Self-paced course

Distributed Systems

Foundational papers and production lessons on storage, consensus, replication, and large-scale data infrastructure — the substrate everything else runs on.

11 lessons~3h totalFree
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Curriculum

  1. Cassandra: What the Paper Actually Says21 min read
  2. Pregel: What the Large-Scale Graph Processing Paper Actually Says14 min read
  3. MapReduce: What the Google Paper Actually Says12 min read
  4. Kafka: What the Original Paper Actually Says16 min read
  5. Dapper: What Google's Distributed Tracing Paper Actually Says13 min read
  6. Ring Attention: What the Near-Infinite Context Paper Actually Says15 min read
  7. MegaScale: What ByteDance's 12,288-GPU Training Paper Actually Says14 min read
  8. HNSW: What the Vector Similarity Search Paper Actually Says13 min read
  9. GFS: What the Google File System Paper Actually Says16 min read
  10. Bigtable: What the Distributed Storage Paper Actually Says12 min read
  11. Zanzibar: What Google's Authorization Paper Actually Says12 min read