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Distributed Systems

Raft Consensus Engine: Build a Distributed State Machine

6 weeks
0 Learners
Jul 23

Implement the Raft consensus algorithm from scratch to master leader election, log replication, and fault‑tolerant distributed state management.

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About this Course

Implement the Raft consensus algorithm from scratch to master leader election, log replication, and fault‑tolerant distributed state management. This Distributed Systems curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 6 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Understand state machine replication, failure models, and the CAP trade‑offs that shape Raft’s design.
Implement randomized timeouts and RequestVote RPCs to guarantee a single, stable leader in a cluster.
Design AppendEntries RPC and quorum‑based committing to safely replicate client commands across followers.
Apply election restrictions and partition recovery to prevent split‑brain and ensure graceful leader stepping down.

Prerequisites

intermediate Level

Requires basic familiarity with the tech stack.

  • Familiarity with core concepts

Ideal for

Anyone interested in Distributed Systems who wants to learn about Raft Consensus Engine: Build a Distributed State Machine.

Systems Engineers
W1

Distributed State Foundations

Understand state machine replication, failure models, and the CAP trade‑offs that shape Raft’s design.

4 videos72m
2 readings
4 topics
1 homework
Learn

Topics

1.1
State Machine Replication (SMR)
8 minutes
1.2
Byzantine vs Crash‑Stop Failures
17 minutes
1.3
CAP Theorem in Practice (Trading Availability for Consistency)
10 minutes
1.4
Overview of the Raft Paper (In Search of an Understandable Consensus Algorithm)
37 minutes
W2

Raft Leader Election Mechanism

Implement randomized timeouts and RequestVote RPCs to guarantee a single, stable leader in a cluster.

4 videos45m
3 readings
4 topics
1 homework
Learn
W3

Raft Log Replication & Commitment

Design AppendEntries RPC and quorum‑based committing to safely replicate client commands across followers.

4 videos64m
3 readings
4 topics
1 homework
Learn
W4

Raft Safety & Partition Handling

Apply election restrictions and partition recovery to prevent split‑brain and ensure graceful leader stepping down.

4 videos109m
3 readings
4 topics
1 homework
Learn
W5

Cluster Membership Changes

Safely add and remove nodes from a running Raft cluster without downtime or split-brain.

3 videos86m
3 readings
3 topics
1 homework
Learn
W6

Log Compaction and Snapshotting

Prevent the Raft log from growing infinitely by implementing state machine snapshotting.

3 videos49m
3 readings
3 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

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