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id: wiki-2026-0508-software-architecture-pattern
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title: Software Architecture Pattern
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Architecture Patterns, System Design Patterns]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [architecture, patterns, system-design, microservices, serverless]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: multi
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framework: kubernetes/serverless/edge
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---
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# Software Architecture Pattern
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## 매 한 줄
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> **"매 architecture pattern 의 problem-driven choice — layered (CRUD), microservices (org / scale), event-driven (decouple), hexagonal (testability), serverless / edge (ops scale)"**. 매 2026 의 reality 의 hybrid — modular monolith + selective microservices + event backbone (Kafka / NATS) + edge (Cloudflare Workers / Deno Deploy / Vercel). 매 single-pattern dogma X — 매 trade-off 의 explicit.
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## 매 핵심
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### 매 Major patterns
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- **Layered (n-tier)**: presentation / business / data — 매 CRUD default.
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- **Microservices**: 매 service 의 independent deploy + own DB.
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- **Event-driven (EDA)**: 매 producer-consumer + queue / log.
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- **Hexagonal (ports & adapters)**: 매 domain 의 IO 의 isolate.
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- **CQRS + Event Sourcing**: read / write split, append-only event.
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- **Modular Monolith**: 매 monolith 위 의 boundary — 매 underrated 2026 default.
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- **Serverless**: FaaS, 매 ops-zero, cold-start trade.
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- **Edge / Distributed**: 매 user-near, 매 SQLite-replicated (Turso, D1).
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### 매 Cross-cutting
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- **API Gateway**: 매 frontend의 single entry.
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- **BFF**: 매 client-specific aggregator.
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- **Saga**: 매 distributed transaction.
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- **Outbox**: 매 db + event 의 atomic publish.
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- **CRDT**: 매 multi-region eventual consistency.
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### 매 Modern (2026) trends
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- **Modular monolith** 의 first — 매 microservices 의 premature 의 X.
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- **Edge runtime** (Workers, Lambda@Edge) 의 read path.
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- **AI-augmented architect** — Claude / GPT-5 의 ADR draft / pattern fit review.
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- **Event streaming default** — Kafka / Redpanda / NATS JetStream.
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### 매 응용
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1. SaaS multi-tenant — modular monolith + tenant DB.
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2. E-commerce — microservices + saga + event backbone.
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3. Real-time collab — CRDT + edge + WebSocket.
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4. AI app — gateway + queue + worker (LLM inference).
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## 💻 패턴
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### Hexagonal (ports & adapters, Python)
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```python
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from typing import Protocol
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# 매 port (domain interface)
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class OrderRepo(Protocol):
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def save(self, order: "Order") -> None: ...
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def by_id(self, id: str) -> "Order | None": ...
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# 매 domain (pure)
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class Order:
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def __init__(self, id, items): self.id, self.items = id, items
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def total(self): return sum(i.price for i in self.items)
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class PlaceOrder:
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def __init__(self, repo: OrderRepo): self.repo = repo
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def __call__(self, order: Order):
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if order.total() <= 0: raise ValueError("empty")
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self.repo.save(order)
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# 매 adapter (Postgres impl) — 매 domain 의 zero coupling
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class PgOrderRepo:
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def __init__(self, conn): self.conn = conn
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def save(self, order): self.conn.execute("INSERT ...", ...)
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def by_id(self, id): ...
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```
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### CQRS + Event Sourcing (skeleton)
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```python
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from dataclasses import dataclass
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@dataclass(frozen=True)
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class OrderPlaced: order_id: str; total: float
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class OrderAggregate:
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def __init__(self):
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self.id = None; self.total = 0
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def apply(self, event):
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if isinstance(event, OrderPlaced):
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self.id = event.order_id; self.total = event.total
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class EventStore:
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def __init__(self): self.events = []
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def append(self, e): self.events.append(e)
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def load(self, id):
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agg = OrderAggregate()
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for e in self.events:
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if getattr(e, "order_id", None) == id: agg.apply(e)
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return agg
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```
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### Outbox pattern (atomic db + event)
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```sql
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BEGIN;
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INSERT INTO orders (id, total) VALUES ('o1', 100);
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INSERT INTO outbox (aggregate_id, type, payload, created_at)
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VALUES ('o1', 'OrderPlaced', '{"id":"o1","total":100}', NOW());
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COMMIT;
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-- 매 worker 의 outbox 의 poll → Kafka publish → mark sent
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```
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### Saga (orchestration, TypeScript)
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```typescript
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async function placeOrderSaga(order: Order) {
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const compensations: (() => Promise<void>)[] = [];
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try {
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await reserveStock(order);
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compensations.push(() => releaseStock(order));
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await chargePayment(order);
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compensations.push(() => refund(order));
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await scheduleShipment(order);
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} catch (e) {
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for (const c of compensations.reverse()) await c().catch(() => {});
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throw e;
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}
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}
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```
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### Edge handler (Cloudflare Workers + D1)
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```typescript
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export default {
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async fetch(req: Request, env: { DB: D1Database }) {
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const url = new URL(req.url);
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if (url.pathname === "/api/post" && req.method === "GET") {
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const id = url.searchParams.get("id")!;
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const row = await env.DB.prepare("SELECT * FROM posts WHERE id = ?")
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.bind(id).first();
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return Response.json(row, {
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headers: { "cache-control": "public, max-age=60, s-maxage=300" },
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});
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}
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return new Response("not found", { status: 404 });
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},
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};
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```
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### Modular Monolith (Go module structure)
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```
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cmd/api/main.go
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internal/
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billing/ # 매 module — own domain, own table prefix
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api.go
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domain.go
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repo.go
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catalog/
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api.go
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...
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shared/
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events.go # 매 cross-module event bus
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```
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### Event-driven (NATS JetStream)
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```typescript
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import { connect, JSONCodec } from "nats";
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const nc = await connect({ servers: "nats://nats:4222" });
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const js = nc.jetstream();
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const jc = JSONCodec();
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// publish
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await js.publish("orders.placed", jc.encode({ id: "o1", total: 100 }));
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// subscribe (durable consumer)
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const c = await js.consumers.get("ORDERS", "ship-worker");
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const iter = await c.consume();
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for await (const m of iter) {
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await ship(jc.decode(m.data));
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m.ack();
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}
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```
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### API Gateway (Kong declarative)
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```yaml
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_format_version: "3.0"
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services:
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- name: orders
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url: http://orders.internal:8080
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routes: [{ paths: ["/orders"], strip_path: false }]
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plugins:
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- name: rate-limiting
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config: { minute: 60, policy: redis, redis_host: redis }
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- name: jwt
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```
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## 매 결정 기준
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| 상황 | Pattern |
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| Small team, CRUD | Layered or Modular Monolith |
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| Org scaling, 매 indep deploy | Microservices (with care) |
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| Audit / replay | Event Sourcing + CQRS |
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| Read-heavy global | Edge + cache |
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| Distributed transactions | Saga + Outbox |
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| Real-time collab | CRDT + WebSocket |
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| Spiky / unpredictable | Serverless |
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**기본값**: Modular Monolith first. 매 split 의 evidence-driven (org boundary + perf SLO).
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## 🔗 Graph
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- 부모: [[System-Design]]
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- 변형: [[Microservices]] · [[Event-Driven-Architecture]] · [[Hexagonal Architecture]] · [[CQRS]]
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- 응용: [[Modular Monolith]]
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- Adjacent: [[API-Gateway]] · [[Service Mesh]] · [[Edge Computing|Edge-Computing]]
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## 🤖 LLM 활용
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**언제**: ADR draft, 매 pattern fit review (problem → pattern recommendation), trade-off matrix generate.
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**언제 X**: actual capacity planning (load test), team-specific tech-stack lock-in (org context).
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## ❌ 안티패턴
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- **Premature microservices**: 매 distributed monolith — 매 worst.
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- **Distributed transaction (2PC)**: 매 saga 의 use.
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- **Shared DB across services**: 매 microservices 의 violate.
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- **No outbox**: 매 dual-write inconsistency.
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- **Pattern dogma**: 매 trade-off 의 explicit X.
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## 🧪 검증 / 중복
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- Verified (Fowler, Vernon, Newman, Richardson architecture references).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — full pattern catalog with code examples |
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