# tangwz/db-monthly

阿里云数据库内核月报分类整理（定时更新） http://mysql.taobao.org/monthly/

Repository: https://github.com/tangwz/db-monthly
Canonical: https://ross.abutalabs.com/products/db-monthly
License: Apache-2.0
License Family: permissive
Last push: 2025-08-15T08:03:37+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 37, release rhythm 35, longevity 100
- inputs: {"age_days": 2048, "days_push": 383, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1089, forks 117 (observed 2026-08-28T04:03:32.647815+00:00)

## What it is
A categorized, regularly updated index of the Alibaba Cloud Database Kernel Monthly reports (mysql.taobao.org/monthly), covering MySQL, PostgreSQL, Redis, MongoDB, PolarDB, RocksDB, and more. It organizes hundreds of deep-dive articles on database internals, bug analysis, SQL optimization, and engine internals by product and topic.

## Use cases
- learn mysql innodb internals
- find articles on database kernel source code
- study postgresql and redis internals
- research database bug case studies
- prepare for database engineer interviews
- understand polardb and alisql architecture
- learn sql optimization techniques

## When to choose
- you want curated, categorized deep-dive articles on database internals
- you are studying MySQL/PostgreSQL/Redis engine internals or source code
- you want the Alibaba Cloud monthly reports organized by product and topic

## When to avoid
- you need runnable software or tools rather than reading material
- you need beginner-level database tutorials
- you only read English, since content is primarily Chinese

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: databases, tutorials, developer-tools
- platform: -
- tags: database-internals, mysql, postgresql, redis, mongodb, curated-index, chinese-language, kernel-monthly-report, web-server

## Member repositories
- tangwz/db-monthly (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.647815+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 2026-08-30T06:49:19.922767+00:00, confidence not recorded.
  - readme: https://github.com/tangwz/db-monthly (fetched 2026-08-28T04:03:32.647815+00:00, sha 4f60820045d8)
- Data as of 2026-08-30T08:39:29.467469+00:00.