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id: wiki-2026-0508-sara-software-architecture-revie
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title: SARA (Software Architecture Review and Assessment)
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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: [SARA, Architecture Review, Architecture Assessment]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.85
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verification_status: applied
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tags: [architecture, review, governance, sei, atam]
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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: none
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framework: ATAM/ARID/SAAM
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---
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# SARA (Software Architecture Review and Assessment)
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## 매 한 줄
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> **"매 architecture 를 매 quality-attribute 관점에서 systematic review 하는 프로세스"**. SEI (Carnegie Mellon) 의 SAAM (1996) → ATAM (2000) → ARID (2002) 계보의 generic 명칭. 매 핵심: stakeholder, scenario, tradeoff, risk 의 명시적 enumeration. 매 2026 modern variant: AWS Well-Architected Review, Architecture Decision Records (ADR), Wardley Mapping 과 결합.
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## 매 핵심
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### 매 SEI 계보
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- **SAAM** (Software Architecture Analysis Method, 1996): scenario-based, modifiability 위주.
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- **ATAM** (Architecture Tradeoff Analysis Method, 2000): multi-quality, tradeoff 명시.
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- **ARID** (Active Reviews for Intermediate Designs, 2002): incomplete design review.
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- **CBAM** (Cost-Benefit Analysis Method): economic angle.
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### 매 ATAM 9-step (Kazman et al.)
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1. Present ATAM
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2. Present business drivers
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3. Present architecture
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4. Identify architectural approaches
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5. Generate quality attribute utility tree
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6. Analyze approaches (round 1)
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7. Brainstorm scenarios + prioritize
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8. Analyze approaches (round 2)
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9. Present results
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### 매 산출물
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- Utility tree: quality attribute → scenario → priority/difficulty.
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- Risk / non-risk / sensitivity point / tradeoff point.
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- Architectural decision record (ADR) update.
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### 매 응용
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1. Pre-launch architecture sign-off.
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2. Major refactor / re-platforming 의사결정.
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3. M&A due diligence.
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4. AWS/GCP Well-Architected formal review.
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## 💻 패턴
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### Utility tree (markdown)
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```markdown
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- Performance
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- Latency
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- [H, M] p99 checkout < 300ms under 10k rps
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- [M, L] search autocomplete < 80ms
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- Throughput
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- [H, H] sustained 50k rps with 3 AZ failover
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- Availability
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- [H, M] 99.95% monthly, RPO=5min, RTO=15min
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- Security
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- [H, H] all PII encrypted at rest, TLS 1.3 in transit
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- Modifiability
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- [M, M] new payment provider 매 < 2 sprint
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# [Importance, Difficulty]: H/M/L
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```
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### Scenario template
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```yaml
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id: SCN-007
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quality: availability
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source: AZ outage in us-east-1a
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stimulus: complete loss of one AZ for 30 min
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artifact: checkout service
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environment: peak traffic, Black Friday
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response: traffic auto-shifts to remaining 2 AZ
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response_measure: error rate < 0.5% for full 30 min
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priority: H
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difficulty: M
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```
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### Risk / Tradeoff log
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```markdown
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| ID | Type | Description | Affected QAs |
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|----|------|-------------|--------------|
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| R1 | Risk | Single Redis primary; failover untested | Availability |
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| T1 | Tradeoff | Multi-region active-active raises consistency cost | Availability ↔ Consistency |
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| S1 | Sensitivity | p99 latency depends on connection-pool size | Performance |
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| NR1| Non-risk | Stateless API tier, autoscale verified | Scalability |
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```
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### ADR (Architecture Decision Record)
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```markdown
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# ADR-0042: Adopt event-driven checkout via Kafka
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Date: 2026-05-10
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Status: accepted
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Context: synchronous REST chain causes p99 spikes and tight coupling.
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Decision: introduce Kafka topic `orders.v1`; checkout publishes; downstream
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services (inventory, fulfilment, notify) consume independently.
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Consequences:
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+ Decoupling, replayability, easier multi-region.
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- New ops surface (Kafka), schema-registry overhead.
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- Eventual consistency: UI must surface "processing" state.
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Alternatives considered: SQS (vendor lock), gRPC streaming (still coupled).
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```
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### Wardley Map sketch (text)
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```text
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Visible
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^ User --- Checkout UI
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| Order API ---- Payment Gateway (Stripe, product)
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| Order DB (Postgres, custom-built→product)
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| Compute (k8s on EKS, commodity)
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v
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Invisible
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[Genesis] -- [Custom] -- [Product] -- [Commodity]
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```
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### AWS Well-Architected lens (CLI)
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```bash
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# 매 AWS WA Tool — SARA-equivalent at AWS scale
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aws wellarchitected create-workload \
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--workload-name checkout-2026 \
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--description "Checkout platform" \
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--environment PRODUCTION \
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--aws-regions us-east-1 us-west-2 \
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--lenses arn:aws:wellarchitected::aws:lens/wellarchitected \
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arn:aws:wellarchitected::aws:lens/serverless
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```
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### Lightweight LARA (lightweight ARID, 1-day variant)
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```text
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09:00 kickoff + business drivers
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10:00 architect 30-min walkthrough
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10:30 utility tree workshop
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12:00 lunch
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13:00 scenario brainstorm + dot voting
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14:00 round-1 analysis (top 5 scenarios)
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16:00 risk/tradeoff log finalize
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17:00 readout to stakeholders
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Greenfield, pre-launch | Full ATAM (3-day) |
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| Time-boxed, single team | LARA (1-day) |
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| Cloud-native AWS | Well-Architected Review per pillar |
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| Continuous | ADR + monthly architecture council |
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| Incomplete design | ARID (active review) |
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| Cost-driven | CBAM |
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**기본값**: 매 ADR + 매 quarterly LARA + 매 cloud Well-Architected annual.
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## 🔗 Graph
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- 부모: [[Software Architecture]] · [[Quality Attributes]]
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- 변형: [[ATAM]]
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- Adjacent: [[Risk_Management]] · [[Threat Modeling]] · [[Tech Radar]]
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## 🤖 LLM 활용
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**언제**: 매 utility tree 초안, 매 scenario 생성, 매 ADR 작성, 매 tradeoff 분석.
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**언제 X**: 매 final sign-off — human architect + stakeholder accountability 필수.
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## ❌ 안티패턴
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- **Architecture astronautics**: 매 utility tree 만 만들고 매 scenario 분석 skip.
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- **Single-quality focus**: 매 performance 만 — security/modifiability 무시.
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- **Review without authority**: 매 결과를 매 누구도 implement 강제 못함.
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- **One-shot review**: 매 launch 전 한 번 — drift 후 재평가 없음.
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- **No ADR**: 매 결정의 *why* 가 없어 매 6개월 뒤 누구도 이유 모름.
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- **Theatre review**: 매 형식적 sign-off, 매 실제 risk 미공개.
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## 🧪 검증 / 중복
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- Verified: SEI ATAM technical reports (Kazman, Klein, Clements 2000–2002); Bass et al. *Software Architecture in Practice* 4e (2021); AWS Well-Architected Framework (2025).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — ATAM 9-step, utility tree, ADR, Well-Architected |
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