# theanalyst/awesome-distributed-systems

A curated list to learn about distributed systems

Repository: https://github.com/theanalyst/awesome-distributed-systems
Canonical: https://ross.abutalabs.com/products/awesome-distributed-systems
License Family: other
Topics: distributed-systems, paper, architecture, paxos, lamport, consensus
Last push: 2025-01-10T15:39:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4206, "days_push": 600, "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 12329, forks 1581 (observed 2026-08-28T04:10:52.379693+00:00)

## What it is
A curated list of learning materials on distributed systems, including papers, books, and articles on topics like CAP theorem, consensus, and Paxos. It is a reading resource rather than software, aimed at engineers learning distributed systems architecture.

## Use cases
- learn distributed systems from scratch
- find papers on consensus algorithms like Paxos
- get a reading list for distributed systems theory
- understand the CAP theorem and FLP impossibility
- find free books on distributed computing
- prepare for backend systems design interviews

## When to choose
- you want a curated starting point for self-study of distributed systems
- you prefer learning from papers, books, and articles rather than code
- you need foundational theory like CAP, FLP, and consensus explained

## When to avoid
- you need runnable code or a framework
- you want hands-on tutorials with exercises
- you need up-to-date coverage of the newest tools rather than foundational material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: microservices, tutorials, awesome-lists
- platform: -
- tags: curated-list, distributed-systems, consensus, papers, architecture, learning-path, web-server

## Member repositories
- theanalyst/awesome-distributed-systems (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:52.379693+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 2026-08-29T17:14:09.444930+00:00, confidence not recorded.
  - readme: https://github.com/theanalyst/awesome-distributed-systems (fetched 2026-08-28T04:10:52.379693+00:00, sha d00e2b1222a2)
- Data as of 2026-08-30T08:39:29.467469+00:00.