April 2022
Beginner to intermediate
200 pages
4h 15m
Korean
Content preview from MLOps 도입 가이드
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103
6장 상용배포
비즈니스 리더들은 새로운 시스템을 빠르게 상용 배포하는 것을 가치를 극대화하는 방법으로
판단한다. 하지만 이는 배포에 특이 사항이 없고 리스크가 낮은 경우에 해당한다. 소프트웨어
배포 프로세스의 경우, 최근 몇 년간 이와 같은 내재된 이슈를 해결할 수 있는 방향으로 더 자
동화되고 더욱 견고해졌다.
이번 장에서는 머신러닝 모델을 상용 배포할 때 알아야 할 개념과 고려 사항을 살펴보고,
MLOps
배포 프로세스를 구축하는 방식에 끼치는 영향도 살펴보겠다. [그림
6
-
1
]에서 큰 수
준의 생애주기 중 상용 배포 단계에 해당하는 부분을 확인할 수 있다.
상용 배포
모델 개발
검증 테스트 및
모니터링
상용 배포된 모델상용화가 준비된
모델
상용화 준비
·
CI
/
CD
파이프라인
·머신러닝 아티팩트 개발
·배포 전략
·컨테이너화
·배포 확장
모니터링과
피드백 루프
그림
6-1
머신러닝모델생애주기내의상용배포
상용 배포
6
CHAPTER
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.