Distributed Systems (MIT 6.824)

Advanced Computer Science by Kris Pritchard. 20 lectures, 26 hours. Covers: distributed systems raft consensus mapreduce replication fault tolerance consistency.

Lectures

1. Lecture 1: Introduction · 1 h 20 min
2. Lecture 2: RPC and Threads · 1 h 20 min
3. Lecture 3: GFS · 1 h 22 min
4. Lecture 4: Primary-Backup Replication · 1 h 19 min
5. Lecture 5: Go, Threads, and Raft · 1 h 22 min
6. Lecture 6: Fault Tolerance: Raft (1) · 1 h 20 min
7. Lecture 7: Fault Tolerance: Raft (2) · 1 h 18 min
8. Lecture 8: Zookeeper · 1 h 21 min
9. Lecture 9: More Replication, CRAQ · 1 h 19 min
10. Lecture 10: Cloud Replicated DB, Aurora · 1 h 20 min
11. Lecture 11: Cache Consistency: Frangipani · 1 h 20 min
12. Lecture 12: Distributed Transactions · 1 h 17 min
13. Lecture 13: Spanner · 1 h 19 min
14. Lecture 14: Optimistic Concurrency Control · 1 h 23 min
15. Lecture 15: Big Data: Spark · 1 h 8 min
16. Lecture 16: Cache Consistency: Memcached at Facebook · 1 h 18 min
17. Lecture 17: COPS, Causal Consistency · 1 h 23 min
18. Lecture 18: Fork Consistency, Certificate Transparency · 1 h 14 min
19. Lecture 19: Bitcoin · 57 min
20. Lecture 20: Blockstack · 1 h 19 min

Quick explainers

• Understand RAFT without breaking your brain · 9 min
• Mastering the Raft Consensus Algorithm: A Comprehensive Tutorial in Distributed Systems · 13 min
• Raft - A Distributed Systems Consensus Algorithm · 3 min
• Distributed Consensus - Raft Leader Election | Systems Design Interview 0 to 1 with Ex-Google SWE · 9 min

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