9148c358d0
Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
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4.7 KiB
id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
| id | title | category | status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | verification_status | tags | raw_sources | last_reinforced | github_commit | tech_stack | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-cosmos-플랫폼-netflix | Cosmos 플랫폼 (Netflix) | 10_Wiki/Topics | verified | self |
|
none | A | 0.85 | applied |
|
2026-05-10 | pending |
|
Cosmos 플랫폼 (Netflix)
매 한 줄
"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.
매 핵심
매 architecture (3 layers)
- Optimus (API layer) — external-facing service, business logic, request validation.
- Plato (Workflow layer) — Conductor-based workflow orchestration, retry, branching.
- Stratum (Functions layer) — serverless compute, Titus (container) 위 실행.
매 design 원칙
- Asynchronous everything — sync call 매 minimum, message-based.
- Schema-first — Protobuf gRPC 매 contract.
- Workflow as DSL — JSON workflow definition (Conductor).
- Function granularity — small, idempotent, stateless.
- Event-driven — Kafka, SQS 매 inter-service.
매 응용
- Video encoding pipeline — source → multiple bitrates × codecs.
- Image processing — title art, thumbnails, language variants.
- Subtitle / caption processing.
- Content quality control (QC) automation.
- IMF (Interoperable Master Format) ingestion.
💻 패턴
Workflow definition (Plato / Netflix Conductor)
{
"name": "encode_video_v3",
"version": 3,
"tasks": [
{
"name": "probe",
"type": "FUNCTION",
"function": "stratum:ffprobe",
"inputParameters": { "url": "${workflow.input.sourceUrl}" }
},
{
"name": "fan_out_encode",
"type": "FORK_JOIN_DYNAMIC",
"dynamicForkTasksParam": "encodeTasks"
},
{
"name": "join_results",
"type": "JOIN"
},
{
"name": "publish",
"type": "FUNCTION",
"function": "stratum:publishToCDN"
}
]
}
Stratum function (Java, Spring Boot)
@CosmosFunction(name = "ffprobe")
public class FfprobeFunction implements Function<ProbeRequest, ProbeResponse> {
@Override
public ProbeResponse apply(ProbeRequest req) {
var info = Ffmpeg.probe(req.url());
return new ProbeResponse(info.duration(), info.codec(), info.bitrate());
}
}
Optimus service (gRPC)
service EncodeService {
rpc StartEncode(EncodeRequest) returns (EncodeResponse);
rpc GetStatus(StatusRequest) returns (stream StatusUpdate);
}
Titus container deployment
# titus job definition
applicationName: stratum-ffprobe
container:
image: registry/stratum/ffprobe:v42
resources:
cpu: 4
memoryMB: 8192
gpu: 0
env:
COSMOS_FUNCTION_NAME: ffprobe
Event-driven trigger (Kafka)
@KafkaListener(topics = "media.uploaded")
public void onUpload(MediaUploadedEvent event) {
workflowClient.start("encode_video_v3", Map.of(
"sourceUrl", event.getUrl(),
"movieId", event.getMovieId()
));
}
Idempotency key (function level)
@CosmosFunction(idempotencyKey = "${input.movieId}-${input.bitrate}")
public class EncodeFunction implements Function<EncodeReq, EncodeResp> { ... }
매 결정 기준
| 상황 | Approach |
|---|---|
| Long-running multi-step media job | Plato workflow |
| Simple stateless transform | Stratum function |
| External-facing API | Optimus service |
| Realtime / sub-100ms | NOT Cosmos (sync RPC service 따로) |
기본값: workflow for any multi-step media pipeline; functions for individual steps.
🔗 Graph
- 부모: Microservices
- 변형: Temporal
- Adjacent: Spinnaker
🤖 LLM 활용
언제: workflow definition 생성, function template 생성, 운영 incident 매 root cause 분석. 언제 X: production workflow execution (deterministic 해야 함).
❌ 안티패턴
- Stateful function: scale 못 함, retry 깨짐.
- Long sync chain in Optimus: workflow 가야 할 것 매 sync call 로 묶음.
- No idempotency: retry 매 duplicate side-effect.
- Workflow too granular: orchestration overhead > work.
🧪 검증 / 중복
- Verified (Netflix Tech Blog 2020 Rebuilding Netflix Video Processing Pipeline with Microservices).
- 신뢰도 A.
🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — full content covering Optimus/Plato/Stratum |