refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Antigravity Agent
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---
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id: wiki-2026-0508-cosmos-플랫폼-netflix
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title: Cosmos 플랫폼 (Netflix)
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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 Cosmos, Cosmos Platform, Cosmos]
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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: [netflix, media-processing, workflow, microservices]
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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
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---
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# Cosmos 플랫폼 (Netflix)
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## 매 한 줄
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> **"매 Netflix 의 next-gen media computing platform"**. Reloaded (predecessor) 의 후계, 2018-2020 announce. Microservices + workflow orchestration + serverless functions 매 통합. Encoding, transcoding, content analysis, IMF processing 매 모든 media pipeline 의 backbone.
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## 매 핵심
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### 매 architecture (3 layers)
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- **Optimus (API layer)** — external-facing service, business logic, request validation.
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- **Plato (Workflow layer)** — Conductor-based workflow orchestration, retry, branching.
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- **Stratum (Functions layer)** — serverless compute, Titus (container) 위 실행.
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### 매 design 원칙
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- **Asynchronous everything** — sync call 매 minimum, message-based.
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- **Schema-first** — Protobuf gRPC 매 contract.
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- **Workflow as DSL** — JSON workflow definition (Conductor).
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- **Function granularity** — small, idempotent, stateless.
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- **Event-driven** — Kafka, SQS 매 inter-service.
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### 매 응용
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1. Video encoding pipeline — source → multiple bitrates × codecs.
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2. Image processing — title art, thumbnails, language variants.
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3. Subtitle / caption processing.
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4. Content quality control (QC) automation.
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5. IMF (Interoperable Master Format) ingestion.
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## 💻 패턴
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### Workflow definition (Plato / Netflix Conductor)
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```json
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{
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"name": "encode_video_v3",
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"version": 3,
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"tasks": [
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{
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"name": "probe",
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"type": "FUNCTION",
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"function": "stratum:ffprobe",
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"inputParameters": { "url": "${workflow.input.sourceUrl}" }
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},
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{
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"name": "fan_out_encode",
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"type": "FORK_JOIN_DYNAMIC",
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"dynamicForkTasksParam": "encodeTasks"
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},
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{
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"name": "join_results",
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"type": "JOIN"
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},
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{
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"name": "publish",
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"type": "FUNCTION",
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"function": "stratum:publishToCDN"
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}
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]
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}
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```
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### Stratum function (Java, Spring Boot)
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```java
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@CosmosFunction(name = "ffprobe")
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public class FfprobeFunction implements Function<ProbeRequest, ProbeResponse> {
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@Override
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public ProbeResponse apply(ProbeRequest req) {
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var info = Ffmpeg.probe(req.url());
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return new ProbeResponse(info.duration(), info.codec(), info.bitrate());
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}
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}
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```
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### Optimus service (gRPC)
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```protobuf
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service EncodeService {
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rpc StartEncode(EncodeRequest) returns (EncodeResponse);
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rpc GetStatus(StatusRequest) returns (stream StatusUpdate);
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}
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```
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### Titus container deployment
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```yaml
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# titus job definition
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applicationName: stratum-ffprobe
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container:
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image: registry/stratum/ffprobe:v42
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resources:
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cpu: 4
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memoryMB: 8192
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gpu: 0
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env:
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COSMOS_FUNCTION_NAME: ffprobe
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```
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### Event-driven trigger (Kafka)
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```java
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@KafkaListener(topics = "media.uploaded")
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public void onUpload(MediaUploadedEvent event) {
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workflowClient.start("encode_video_v3", Map.of(
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"sourceUrl", event.getUrl(),
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"movieId", event.getMovieId()
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));
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}
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```
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### Idempotency key (function level)
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```java
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@CosmosFunction(idempotencyKey = "${input.movieId}-${input.bitrate}")
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public class EncodeFunction implements Function<EncodeReq, EncodeResp> { ... }
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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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| Long-running multi-step media job | Plato workflow |
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| Simple stateless transform | Stratum function |
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| External-facing API | Optimus service |
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| Realtime / sub-100ms | NOT Cosmos (sync RPC service 따로) |
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**기본값**: workflow for any multi-step media pipeline; functions for individual steps.
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## 🔗 Graph
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- 부모: [[Microservices]]
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- 변형: [[Temporal]]
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- Adjacent: [[Spinnaker]]
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## 🤖 LLM 활용
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**언제**: workflow definition 생성, function template 생성, 운영 incident 매 root cause 분석.
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**언제 X**: production workflow execution (deterministic 해야 함).
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## ❌ 안티패턴
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- **Stateful function**: scale 못 함, retry 깨짐.
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- **Long sync chain in Optimus**: workflow 가야 할 것 매 sync call 로 묶음.
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- **No idempotency**: retry 매 duplicate side-effect.
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- **Workflow too granular**: orchestration overhead > work.
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## 🧪 검증 / 중복
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- Verified (Netflix Tech Blog 2020 *Rebuilding Netflix Video Processing Pipeline with Microservices*).
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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 — full content covering Optimus/Plato/Stratum |
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