# feixiao/Distributed-Systems

MIT课程《Distributed Systems 》学习和翻译

Repository: https://github.com/feixiao/Distributed-Systems
Canonical: https://ross.abutalabs.com/products/distributed-systems
Language: Go
License Family: other
Topics: golang, distributed-systems
Last push: 2020-02-08T11:51:43+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3730, "days_push": 2398, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2757, forks 653 (observed 2026-08-28T04:07:18.226927+00:00)

## What it is
A study and translation repository for MIT's Distributed Systems course (6.824), containing translated course materials and lab code scaffolding written in Go. It also includes a simple introductory tutorial on distributed systems and curated reading recommendations.

## Use cases
- learn distributed systems from MIT 6.824
- find Chinese translations of 6.824 course materials
- practice distributed systems labs in Go
- get an introductory tutorial on distributed systems
- study Raft and MapReduce lab exercises

## When to choose
- you want to self-study MIT 6.824 with Chinese-language notes
- you need lab code skeletons in Go to implement yourself
- you prefer a curated entry point into distributed systems learning resources

## When to avoid
- you need production-ready distributed systems code
- you want an actively maintained library or framework
- you require English-only materials or a permissive license for reuse

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: microservices, tutorials, education
- platform: go
- tags: mit-6.824, course-notes, translation, labs, chinese

## Member repositories
- feixiao/Distributed-Systems (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.226927+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:18:48.841884+00:00, confidence not recorded.
  - readme: https://github.com/feixiao/Distributed-Systems (fetched 2026-08-28T04:07:18.226927+00:00, sha c59e7158ece6)
- Data as of 2026-08-30T08:39:29.467469+00:00.