Implementing the Raft consensus algorithm from scratch is one of those projects that tests whether you can actually engineer, not just code. This week-long, project-based course takes you through it end to end — less a tutorial than a guided expedition into distributed-systems territory most developers never visit.
What the project involves
The stated goal is a working Raft implementation, but the real exercise is bigger: breaking a hard problem into manageable pieces, deciding how those pieces interact, and figuring out where to even start. You're free to build it in the language of your choice — Rust, Python, Java, and Go are all common picks, though discussions typically use Python as executable pseudocode.
Topics covered
- Socket-based network programming and RPC-style message exchange
- State machines and formal specification with tools like TLA+
- Multithreading and asynchronous programming
- Object-oriented design and broader software architecture
- Error handling and fault tolerance in distributed systems
Even a small five-node setup can spin up 60 threads across multiple processes, so a good part of the course is really about strategies for testing, monitoring, and debugging systems that fail in nondeterministic ways.
Before you start
This project is commonly assigned in graduate-level distributed systems courses. You should be confident in your chosen programming language and comfortable testing, debugging, and working in a terminal; prior exposure to network programming, systems programming, and multithreading helps but isn't mandatory. Each day pairs a discussion or demo with a long stretch of independent, hands-on development.
