# ept/ddia-references

Literature references for “Designing Data-Intensive Applications”

Repository: https://github.com/ept/ddia-references
Canonical: https://ross.abutalabs.com/products/ddia-references
License Family: other
Last push: 2026-02-07T22:25:40+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 66, release rhythm 35, longevity 100
- inputs: {"age_days": 3506, "days_push": 207, "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 7211, forks 900 (observed 2026-08-28T04:09:56.662957+00:00)

## What it is
A curated collection of literature references for Martin Kleppmann's book 'Designing Data-Intensive Applications', organized by chapter. It maintains up-to-date links to freely available books, research papers, blog posts, and other online resources cited in the book.

## Use cases
- find the full text of references cited in DDIA chapters
- locate open-access PDFs of research papers mentioned in the book
- fix broken ebook links by using maintained URLs
- build a distributed systems reading list
- supplement self-study of data-intensive systems design

## When to choose
- you are reading DDIA and want working links to cited papers and articles
- you want a curated distributed systems bibliography
- you prefer direct links over searching Google Scholar manually

## When to avoid
- you need executable software or code examples
- you want a substitute for reading the book itself
- you need references for topics outside the book's scope

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: microservices, databases, developer-tools, tutorials
- platform: cross-platform
- tags: ddia, book-references, reading-list, distributed-systems, martin-kleppmann

## Member repositories
- ept/ddia-references (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:56.662957+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 2026-08-29T17:39:50.278061+00:00, confidence not recorded.
  - readme: https://github.com/ept/ddia-references (fetched 2026-08-28T04:09:56.662957+00:00, sha 0e0c6e624196)
- Data as of 2026-08-30T08:39:29.467469+00:00.