Lecture 7: Fault Tolerance: Raft (2)

Lecture 7 of 20 in Distributed Systems (MIT 6.824) by Kris Pritchard. 1 h 18 min. Watch on YouTube

Course: Distributed Systems (MIT 6.824) (Computer Science). Covers: distributed systems raft consensus mapreduce replication fault tolerance consistency.

All lectures in Distributed Systems (MIT 6.824)

  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