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이름만 다른(표기 변형) [[위키링크]]를 대상 문서의 canonical 제목으로 치환해 끊겼던 1,200개 링크를 연결. 제목/파일명 정규화 일치만 적용하고 별칭 매칭은 과병합 위험으로 제외(애매성 가드). 원본은 _link_reconcile_backup/ 에 백업. 도구: Datacollect/scripts/link_reconcile_apply.mjs Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
189 lines
5.8 KiB
Markdown
189 lines
5.8 KiB
Markdown
---
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id: wiki-2026-0508-netflix-마이크로서비스-전환
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title: Netflix 마이크로서비스 전환
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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: [Netflix Microservices, Netflix Cloud Migration, Netflix Architecture]
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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: [microservices, netflix, case-study, cloud-migration, resilience]
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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: java
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framework: spring-boot-spinnaker
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---
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# Netflix 마이크로서비스 전환
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## 매 한 줄
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> **"매 monolith → 매 1000+ microservice, 매 7년 의 journey"**. 2008 DB 손상 outage → 2009 AWS migration 시작 → 2016 완전 전환. 매 Chaos Engineering, Spinnaker, Hystrix, Eureka 의 birthplace. 매 modern microservice playbook 의 reference.
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## 매 핵심
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### 매 timeline
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- **2008.08**: DVD shipping DB corruption — 3-day outage. Monolith fragility 의 trigger.
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- **2009-2012**: Cassandra adoption, Edge service split, AWS migration 시작.
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- **2013-2015**: Hystrix, Eureka, Ribbon, Zuul OSS 공개.
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- **2016.01**: 마지막 datacenter 종료. 100% AWS.
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- **2020+**: Service mesh (Envoy), gRPC migration, GraphQL federation.
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### 매 driver
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- **Scale**: 매 30M (2008) → 200M+ (2020) subscribers.
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- **Velocity**: 매 daily deploy 의 thousands.
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- **Resilience**: 매 region failure 의 graceful degrade.
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- **Polyglot**: 매 service 의 own stack 의 freedom.
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### 매 응용
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1. Stream startup: 매 Netflix OSS 의 reuse (Eureka, Spinnaker).
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2. Enterprise migration: strangler pattern + edge first.
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3. Resilience: Chaos Monkey 의 culture adoption.
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## 💻 패턴
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### Strangler Fig migration
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```java
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// API Gateway routes — gradual cutover
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@Component
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public class FeatureRouter {
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@Value("${migration.user-service.percent}") int migrationPercent;
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public Route route(Request req) {
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if (req.path().startsWith("/users")
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&& ThreadLocalRandom.current().nextInt(100) < migrationPercent) {
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return Route.NEW_MICROSERVICE;
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}
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return Route.LEGACY_MONOLITH;
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}
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}
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```
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### Circuit breaker (Resilience4j, Hystrix successor)
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```java
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import io.github.resilience4j.circuitbreaker.*;
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CircuitBreakerConfig cfg = CircuitBreakerConfig.custom()
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.failureRateThreshold(50)
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.waitDurationInOpenState(Duration.ofSeconds(30))
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.slidingWindowSize(20)
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.build();
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CircuitBreaker cb = CircuitBreaker.of("recommendations", cfg);
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Supplier<Recommendations> call = CircuitBreaker.decorateSupplier(
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cb, () -> recoClient.fetch(userId));
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Recommendations result = Try.ofSupplier(call)
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.recover(t -> Recommendations.fallback()) // degraded UX
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.get();
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```
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### Eureka service discovery (client)
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```java
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@SpringBootApplication
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@EnableDiscoveryClient
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public class RecommendationServiceApp { }
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// caller
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@Autowired DiscoveryClient discovery;
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List<ServiceInstance> instances = discovery.getInstances("user-service");
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```
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### Chaos Monkey schedule
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```yaml
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# spinnaker chaos-monkey config
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chaos:
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enabled: true
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schedule: "MON-FRI 09:00-15:00 PT"
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meanTimeBetweenKillsInWorkDays: 2
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exceptions:
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- { account: prod, region: us-east-1, stack: critical-payment }
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```
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### Spinnaker pipeline (deploy)
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```json
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{
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"stages": [
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{ "type": "bake", "package": "user-service", "baseOs": "bionic" },
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{ "type": "deploy",
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"clusters": [{ "account": "prod", "region": "us-east-1",
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"strategy": "redblack", "capacity": { "min": 6, "max": 60 } }] },
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{ "type": "wait", "waitTime": 600 },
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{ "type": "checkPreconditions",
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"preconditions": [{ "type": "expression", "context": "kayentaPass" }] }
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]
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}
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```
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### Bulkhead isolation
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```java
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ThreadPoolBulkheadConfig bulkhead = ThreadPoolBulkheadConfig.custom()
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.maxThreadPoolSize(10)
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.coreThreadPoolSize(5)
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.queueCapacity(20)
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.build();
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```
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### Backpressure with reactive
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```java
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// Spring WebFlux
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public Flux<Movie> stream(String userId) {
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return userClient.getProfile(userId)
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.timeout(Duration.ofMillis(200))
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.flatMapMany(p -> recoClient.recommend(p))
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.onBackpressureBuffer(1000, BufferOverflowStrategy.DROP_OLDEST);
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}
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```
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### Canary analysis (Kayenta)
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```yaml
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canaryConfig:
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metrics:
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- name: error-rate
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query: "avg(error_count) / avg(request_count)"
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criticality: critical
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direction: increase
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- name: latency-p99
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criticality: high
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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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| Startup pre-PMF | Monolith. Don't copy Netflix yet. |
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| Growing (50+ eng) | Extract edge services first |
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| Scale (Netflix-class) | Full microservices + service mesh |
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| Resilience-critical | Chaos engineering + canary mandatory |
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**기본값**: Modular monolith → strangler extraction when team/load demands.
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## 🔗 Graph
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- 부모: [[Microservices]]
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- 변형: [[Service-Oriented-Architecture]] · [[Service Mesh]]
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- 응용: [[Chaos-Engineering]] · [[Spinnaker]]
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- Adjacent: [[Strangler-Pattern]] · [[Circuit-Breaker]]
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## 🤖 LLM 활용
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**언제**: 매 case study 의 summarize, OSS Netflix tool 의 explain, migration sequence 의 propose.
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**언제 X**: 매 own org 의 readiness 판단 — team maturity, ops capacity 의 honest assessment.
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## ❌ 안티패턴
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- **Cargo cult**: 매 5-person startup 의 microservices = 매 distributed monolith hell.
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- **No observability first**: 매 100 services + no tracing = debug 의 impossible.
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- **Big bang migration**: 매 monolith 의 1 day 의 split = outage.
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- **Skip chaos**: 매 production failure mode 의 unknown until customer hits it.
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## 🧪 검증 / 중복
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- Verified (Netflix Tech Blog 2009-2024, "Building Microservices" by Newman, AWS re:Invent Netflix talks).
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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 — Netflix microservices migration case study + patterns |
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