About this Course
What you'll learn
Distributed State Foundations
Understand state machine replication, failure models, and the CAP trade‑offs that shape Raft’s design.
Raft Leader Election Mechanism
Implement randomized timeouts and RequestVote RPCs to guarantee a single, stable leader in a cluster.
Raft Log Replication & Commitment
Design AppendEntries RPC and quorum‑based committing to safely replicate client commands across followers.
Raft Safety & Partition Handling
Apply election restrictions and partition recovery to prevent split‑brain and ensure graceful leader stepping down.
Cluster Membership Changes
Safely add and remove nodes from a running Raft cluster without downtime or split-brain.
Log Compaction and Snapshotting
Prevent the Raft log from growing infinitely by implementing state machine snapshotting.
Learn
Watch curated videos and read study resources
Practice
Practice what you learned
Build Projects
Build projects using your new gained knowledge
Submit & Verify
Submit your project and get verified by our system
References
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