18-11-2025, 03:41 | view 👀:12 | 🙍 oneddl | redaktor: Baturi | Rating👍:

Rafting Trip

Name: Rafting Trip
Rating: 1 (1 reviews)
Author: Baturi

Imagine a slow winding river of network programming. At its mouth near the sea, you see families splashing in the waves enjoying their web scraper bots
Overview
Imagine a slow winding river of network programming. At its mouth near the sea, you see families splashing in the waves enjoying their web scraper bots. As you work your way up the river, you see people working on various sorts of HTTP server farms. Continuing still further, you perhaps you'll encounter some message queues, remote procedure calls, and distributed objects. However, if you keep on going past the last bridge over the river, you'll eventually start to see disturbing, if not unnatural, acts of coding involving sockets, threads, async, and other low-level systems programming primitives. Echo servers shriek at each other as the river narrows and the banks close in with complexities everywhere. You come across the abandoned wreckage of the USS VibeGPT. As you squint and look ahead, the river vanishes into the forest. The shells of abandoned GitHub projects line the shores. You recognize a torn conference T-shirt and a muddy sneaker worn by some pair programmers you once knew in the office. "The horror. The horror." That's precisely the location where you will be dropped to start this week-long journey of attempting to implement the Raft Distributed Consensus algorithm from scratch. And likely failing.
The problem of Distributed Consensus relates to the challenge of making a group of machines operate as a collective whole that can survive the failure of one or more of its members. This behavior is a critical part of building reliable fault-tolerant systems. Raft is an algorithm that achieves just that. The goal is a modest one--implement Raft from scratch using nothing more than basic system programming libraries and your wits. It will not be an easy task. It may be the hardest small bit of systems code you'll ever have to write, "test", and debug. However, you will learn a lot in the process. Are you up to the challenge?
Why?
Implementing Raft is a legitimately hard problem that will test all of your skills as a programmer. Although the stated objective is to implement Raft, the actual goal of this course is to figure out an overall strategy for implementing Raft. How can a complex problem be broken down into manageable parts? How do the parts interact with each other? What do you work on first? How are you going to test it? In short, stretching yourself on this problem will make you a stronger programmer and a better system designer.
Prerequisites
Implementing Raft is typically a multi-week project found in a graduate computer science course on Distributed Systems. You should be experienced working in your preferred programming language such as Rust, Python, Java, or Go. This includes testing, debugging, and working in the terminal. Some prior experience with network programming, systems programming, and concurrency is strongly advised although all of necessary concepts needed for the completion of the project are covered in the course.
Instruction Format
This is a project-based course that involves a significant amount of thinking, discussion, and coding. There are NO presentation slides. Each day starts with active group discussion, demos, and coding examples related to different facets of the project. However, a significant portion of each day is spent working on individual coding.
Programming Environment
You are free to code the Raft project in any programming language that you wish. During group discussion, short examples illustrating various systems concepts are typically given in plain Python as a kind of executable pseudocode. However, be advised that ultimate success with the Raft project requires a high attention to small details. Because of this, many choose to tackle the project in environment where there are more guardrails.
Core Topics
Throughout the course, a variety of topics from concurrency and distributed computing are covered. This includes
Network programming with sockets.
Message passing and messaging patterns (RPC, Queues, etc.).
State Machines
Formal Specification and model checking (includes TLA+)
Concurrency with threads
Concurrency with asynchronous events
Object oriented programming
Software architecture
Error handling and fault tolerance
A major challenge in completing the project is managing the complexity of testing, monitoring, and debugging in the presence of failures and nondeterministic execution. In a basic 5-machine configuration of Raft, you might have code executing with upwards of 60 threads, spread across multiple processes, interacting with various timers, queues, and channels. This will push the limits of your ability to comprehend what is happening. Much of the course is spent on coping strategies.
Are you nuts?
Yes. Are you?
About the Instructor
This course is taught by David Beazley. David is a former university professor who used to enjoy torturing students with courses in operating systems and networks. In 2023 and 2024, he taught the Programming Language Design and Implementation course with Shriram Krishnamurthi at Brown University. David is better known in the Python world as the author of Python Distilled, the Python Essential Reference, 4th Edition (Addison Wesley) and Python Cookbook, 3rd Edition (O'Reilly Media). He has also given various talks about concurrency-related topics including the infamous Python GIL Talk and this bit of live coding.
Homepage

https://www.dabeaz.com/raft.html

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Rafting Trip

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