# rShetty/awesome-distributed-systems

Awesome list of distributed systems resources

Repository: https://github.com/rShetty/awesome-distributed-systems
Canonical: https://ross.abutalabs.com/products/rshetty-awesome-distributed-systems
Homepage: http://rajeevnb.com
License Family: other
Topics: distributed-systems, awesome, awesome-list
Last push: 2025-07-23T04:29:06+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 33, release rhythm 35, longevity 100
- inputs: {"age_days": 3109, "days_push": 406, "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 1630, forks 143 (observed 2026-08-28T04:05:13.917928+00:00)

## What it is
A curated awesome list of distributed systems resources including blogs, books, papers, videos, courses, and open source projects. It serves as a learning index rather than a runnable software artifact.

## Use cases
- find distributed systems learning resources
- discover papers on distributed systems
- find courses to learn distributed computing
- locate open source distributed systems projects
- find blogs and videos about distributed systems

## When to choose
- you want a curated starting point for learning distributed systems
- you need links to classic papers, books, and courses in one place

## When to avoid
- you need an actual distributed systems library or framework to run
- you need up-to-date tutorials rather than a link index

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

## Member repositories
- rShetty/awesome-distributed-systems (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:13.917928+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 2026-08-30T03:48:02.844015+00:00, confidence not recorded.
  - readme: https://github.com/rShetty/awesome-distributed-systems (fetched 2026-08-28T04:05:13.917928+00:00, sha af4d4e53433a)
- Data as of 2026-08-30T08:39:29.467469+00:00.