9148c358d0
Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
4.6 KiB
4.6 KiB
id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
| id | title | category | status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | verification_status | tags | raw_sources | last_reinforced | github_commit | tech_stack | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-single-source-of-truth | Single Source of Truth (SSoT) | 10_Wiki/Topics | verified | self |
|
none | A | 0.9 | applied |
|
2026-05-10 | pending |
|
Single Source of Truth (SSoT)
매 한 줄
"매 fact 의 1 authoritative location. Everywhere else 의 derive.". 매 information architecture 의 fundamental principle — duplication 의 minimize 후 매 derived view 의 cache/projection 으로 처리. 매 frontend (Redux), backend (master DB), DevOps (Git as IaC source) 의 cross-cutting pattern.
매 핵심
매 layers
- DB layer: master DB + read replicas (no parallel sources).
- App state: Redux store / TanStack Query cache.
- Config: Git repo (Infrastructure as Code).
- Identity: SCIM-synced IdP (Okta/Entra).
- Schema: protobuf / OpenAPI as type-source.
매 derived view
- Materialized views (DB).
- Selectors / memoized derive (frontend).
- Search indexes (Elastic) reflecting master.
- Reporting cubes built from master.
매 응용
- Redux Toolkit
createSlice— 1 store, derived UI. - Git → Terraform → Cloud (no console drift).
- SCIM provisioning — IdP authoritative.
- CDC (Debezium) — master DB → downstream consumers.
- Event sourcing — log as SSoT.
💻 패턴
Redux normalize + selector
import { createSlice, createSelector } from '@reduxjs/toolkit';
const usersSlice = createSlice({
name: 'users',
initialState: { byId: {} as Record<string, User> },
reducers: { upsert: (state, { payload }) => { state.byId[payload.id] = payload; } },
});
export const selectUser = (id: string) => (state: RootState) => state.users.byId[id];
export const selectActiveUsers = createSelector(
(s: RootState) => Object.values(s.users.byId),
(users) => users.filter(u => u.active),
);
Terraform as IaC SSoT
resource "aws_s3_bucket" "logs" {
bucket = "company-logs-prod"
tags = { managed_by = "terraform", repo = "infra" }
}
# Console changes drift-detected via `terraform plan`
Debezium CDC
connector.class: io.debezium.connector.postgresql.PostgresConnector
database.hostname: master.db
table.include.list: public.orders
plugin.name: pgoutput
# Master postgres → Kafka → search/analytics consumers
Schema-first (protobuf)
syntax = "proto3";
message User {
string id = 1;
string email = 2;
bool active = 3;
}
// codegen → TS, Go, Python types — single schema source
Materialized view (Postgres)
CREATE MATERIALIZED VIEW user_stats AS
SELECT user_id, COUNT(*) AS orders, SUM(total) AS revenue
FROM orders GROUP BY user_id;
REFRESH MATERIALIZED VIEW CONCURRENTLY user_stats;
SCIM provisioning
// IdP (Okta) → /scim/v2/Users — app receives, never originates user identity
app.put('/scim/v2/Users/:id', (req, res) => {
await db.upsertUser(req.params.id, req.body);
res.status(200).json(req.body);
});
TanStack Query cache as derived
const { data: user } = useQuery({
queryKey: ['user', id],
queryFn: () => api.getUser(id),
staleTime: 60_000,
});
// Server is SSoT — cache is derived view with TTL
매 결정 기준
| 상황 | Approach |
|---|---|
| Cross-system data sync | CDC from master DB |
| Cloud config | Git + Terraform |
| User identity | IdP + SCIM |
| Frontend state | Normalized Redux + selectors |
| Analytics | Reflect master via warehouse |
기본값: master + derived projections — never multi-master unless conflict-resolution strategy defined.
🔗 Graph
- 부모: Data-Modeling
- 변형: Event Sourcing · CQRS
- 응용: Redux-Toolkit · Terraform · CDC · GitOps
- Adjacent: Eventual Consistency
🤖 LLM 활용
언제: design-time data flow review, drift audit, cache invalidation strategy. 언제 X: distributed systems with offline-first requirement — CRDT 가 적합.
❌ 안티패턴
- Dual-write: 매 app writes both DB and search — drift inevitable. CDC 사용.
- Console drift: cloud console change without IaC update.
- Cached as authoritative: TTL stale → cache mistakenly trusted.
🧪 검증 / 중복
- Verified (Fowler, Kleppmann DDIA, Redux docs, Terraform best practices).
- 신뢰도 A.
🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — SSoT principle, master + derived patterns, CDC/IaC/SCIM |