July 2023
Beginner to intermediate
496 pages
11h 43m
Korean
Content preview from MLOps 실전 가이드
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35
1
장
MLOps 세상으로 초대
머신러닝 모델이 실제 운영에 투입되기 어려운 근본적인 이유는 데이터 과학 산업이 아직 충분
히 성숙하지 못했기 때문이라고 정리할 수 있다. 소프트웨어 업계가 서비스 운영의 미성숙성을
타파하기 위해
DevOps
를 채택했듯 이제는 머신러닝 커뮤니티가
MLOps
를 수용하고 있다.
MLOps
가 어떻게 수용되고 있는지 알아보도록 하자.
1.3
DevOpsDevOps
와 와
MLOpsMLOps
DevOps
는 고품질 소프트웨어를 빠르게 출시하는 것을 조직의 목표로 삼는 곳에서 사용되는
일련의 기술 및 관리 전반을 일컫는다. 다음과 같은 모범 사례를 준수하는
DevOps
를 통해 속
도, 안정성, 확장성, 보안 등 다양한 이점들을 얻을 수 있다.
지속적 통합지속적 통합
지속적 통합
Continuous
Integration
(
CI
)은 소프트웨어 프로젝트를 지속적으로 테스트하고, 테스
트 결과를 바탕으로 소프트웨어의 품질을 향상시키는 프로세스이다. 테스트 자동화
automated
testing
라고도 불리는 이 프로세스는 오픈 소스,
SaaS
빌드 서버(예: 깃허브 액션
GitHub
Actions
,
젠킨스
Jenkins
, 깃랩
Gitlab
, 서클
CI
CircleCI
), 클라우드 네이티브 빌드 시스템(예:
AWS
코드 빌
드
Code
Build
)을 이용한다.
지속적 배포지속적 배포
다양한 지속적 배포
Continuous
Deployment
(
CD
) 방법을 통해 사람의 개입 없이 새로운 환경에
코드를 전달할 수 있다.
CD
는 코드형 ...
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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.