# fpereiro/backendlore

How I write backends

Repository: https://github.com/fpereiro/backendlore
Canonical: https://ross.abutalabs.com/products/backendlore
License Family: other
Last push: 2025-07-17T18:55:44+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 32, release rhythm 35, longevity 100
- inputs: {"age_days": 2416, "days_push": 412, "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 5354, forks 266 (observed 2026-08-28T04:09:15.954537+00:00)

## What it is
A public domain document summarizing one developer's approach to writing backends for web applications, covering architecture, tooling (Node.js, Redis, Nginx, AWS), and a philosophy of iterative simplicity. It is a written guide rather than runnable software.

## Use cases
- learn how to structure a backend for a web app
- understand a simple node redis nginx backend architecture
- find guidance on writing maintainable server-side code
- compare my backend practices with an experienced developer's approach
- get advice on deploying backends on ubuntu with aws

## When to choose
- you want a concise, opinionated overview of backend design from a practitioner
- you prefer minimal, simple stacks over heavy frameworks
- you are building a small-to-medium web backend with node.js, redis, and nginx

## When to avoid
- you need runnable code or a library to import
- you want a comprehensive or framework-agnostic backend curriculum
- you need guidance for microservices or large-scale distributed systems

## Facets
- artifact type: learning-resource
- maturity: stable
- function: documentation, developer-tools
- domain: backend, web-development, tutorials
- platform: -
- tags: backend-architecture, web-lore, simplicity, redis, nginx, aws, nodejs, linux, web-server

## Member repositories
- fpereiro/backendlore (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.954537+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 2026-08-29T17:58:47.388587+00:00, confidence not recorded.
  - readme: https://github.com/fpereiro/backendlore (fetched 2026-08-28T04:09:15.954537+00:00, sha dab51c63b07b)
- Data as of 2026-08-30T08:39:29.467469+00:00.