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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-20 23:52:15 +09:00

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title

Team Topologies

매 한 줄

"매 4 fundamental team types + 3 interaction modes 의 fast flow 의 organize". Matthew Skelton & Manuel Pais (2019) 의 framework — Conway's Law 의 deliberately inverse-leverage. 2026 모던 SaaS scale-up 매 default playbook.

매 핵심

매 4 Team Types

Stream-Aligned: 매 single value stream (product/feature/customer) 의 own. 매 most teams (~70%).
Platform: 매 internal services (CI/CD, observability, auth) 의 stream-aligned 의 enable.
Enabling: 매 short-term coaching (e.g. "help adopt OpenTelemetry"). 매 disband after.
Complicated-Subsystem: 매 deep specialist domain (video codec, ML inference, payments crypto).

매 3 Interaction Modes

Collaboration: 매 high-bandwidth, short-term, exploratory.
X-as-a-Service: 매 platform team의 well-defined API 의 provide.
Facilitating: 매 enabling team의 coach mode.

매 Cognitive Load

매 team의 cognitive load 의 limit (Miller's 7±2). 매 boundaries 의 set.
매 intrinsic / extraneous / germane load 의 distinguish.

매 응용

Scale-up 50→500 eng — stream-aligned squad 의 split.
Platform team 의 internal-developer-platform (IDP) build.
ML platform — 매 complicated-subsystem (training infra) + platform (serving).

💻 패턴

Team API (markdown contract)

# Team API: Payments Platform

## Mission
Provide reliable payment processing API for stream-aligned teams.

## Services Provided (X-as-a-Service)
- POST /charge (SLO 99.95%)
- POST /refund (SLO 99.9%)

## On-call
PagerDuty: payments-platform-oncall

## Interaction
- X-as-a-Service for stream-aligned teams.
- Collaboration window: Tuesdays 10-11am for new integrations.

Stream-aligned team boundary

# team-checkout.yaml
team: checkout-squad
type: stream-aligned
owns:
  - service: checkout-api
  - service: cart-service
  - frontend: /checkout/*
depends_on:
  - team: payments-platform (X-as-a-Service)
  - team: identity-platform (X-as-a-Service)
oncall: checkout-oncall

Cognitive load assessment

# Quick survey, 1-5 scale per team
load_survey = {
    "domain_complexity": 4,   # how complex is the business?
    "tech_complexity": 3,     # how many techs to master?
    "context_switches": 5,    # how many systems do you touch?
    "external_deps": 2,       # how many other teams must you coordinate with?
}
score = sum(load_survey.values())
# >15: overloaded, consider splitting or moving deps to platform

Enabling team engagement

# Engagement: Observability Adoption
Enabling team: SRE-Coaching
Target: checkout-squad
Duration: 6 weeks
Goal: Adopt OpenTelemetry tracing, define SLOs.
Exit criteria: Team independently maintains SLO dashboard.

매 결정 기준

상황	Team type
매 customer-facing product slice	Stream-aligned
매 shared infra (k8s, CI/CD)	Platform
매 short-term capability gap	Enabling
매 deep specialist (codec, ML kernel)	Complicated-Subsystem
매 ad-hoc cross-team feature	Collaboration mode (temporary)

기본값: 매 stream-aligned 의 default. 매 platform team의 too-early formation 의 avoid (먼저 stream-aligned 의 pain point 의 ).

🔗 Graph

부모: Conway's Law · DevOps
변형: Spotify Model
응용: Platform Engineering · Internal Developer Platform
Adjacent: Domain-Driven Design · Microservices · SRE

🤖 LLM 활용

언제: 매 50+ engineer org 의 redesign. 매 platform team의 charter 의 draft. 매 cognitive load survey 의 analyze. 언제 X: 매 <10 person startup (premature). 매 Conway 의 ignored 매 consulting deliverable.

❌ 안티패턴

Platform-first: 매 stream-aligned 매 pain 없이 platform 의 build → unused.
Permanent enabling team: 매 coaching team의 forever 의 stay → "ivory tower".
Component team: 매 horizontal slice (e.g. "frontend team") — 매 stream 의 cut, hand-offs ↑.
Too many interactions: 매 every team의 every team 의 talk → 매 N² coordination cost.

🧪 검증 / 중복

Verified (Skelton & Pais, "Team Topologies" 2019; teamtopologies.com 2026 case studies).
신뢰도 A.

🕓 Changelog

날짜	변경
2026-05-08	Phase 1
2026-05-10	Manual cleanup — Team Topologies 4-type + interaction modes + Team API

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