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학위논문
저자정보

김정보 (동명대학교, 동명대학교 대학원)

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김정인
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2021
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이 논문의 연구 히스토리 (2)

2021

Cloud Native환경에서 생산성 향상을 위한 어플리케이션 개발 방법론
김정보 컴퓨터미디어공학과 2021.01 학위논문

2020

Cloud Native환경에서의 생산성 향상을 위한 어플리케이션 개발 방법 연구
김정보 ,  김정인 멀티미디어학회논문지 2020.02 학술저널

초록· 키워드

오류제보하기
클라우드, 빅데이터, 인공지능, IoT는 자동화를 뛰어넘는 지능화를 통
해 인간의 개입을 최소화하고, 보다 정교하며 다양한 서비스를 인간에게
제공하기 위한 기술들이다. SW 공학도 SW 품질강화와 협업체계 구축
을 통한 SW 제품과 프로젝트의 유연성 확보, 사용자 중심 SW 개발 등
으로 빠르게 변화하고 있다. 이러한 환경변화를 고려하여 국내의 SW 생
태계를 만들어 온 소프트웨어 진흥법도 2001년 전면 개정된 이후, 지금
의 SW 개발환경에 맞게 재개정을 앞두고 있으며, 정부의 4차 산업 위원
회 보도자료(2019.10.25)에서도 기존의 노동 자본 위주에서 앞으로는 데
이터, 인재, 스마트 자본으로 변화할 것을 예측하고 시스템 자동화를 통
한 생산성 향상방안에 대해 고민해야 할 때라고 지적한다.
본 논문은 급속하게 변화하는 IT 환경 속에서 4차 산업의 핵심 기술
요소인 클라우드 환경에서 프로비저닝 기능과 오토 스케일링 기능 그리
고 두 기능을 활용하기 위한 컨테이너 기반의 가상화를 통하여 중소규모
의 SI 프로젝트를 구현하는 방법을 개발 전, 개발 그리고 개발 이후의
과정을 통합적으로 운영 관리하기 위한 9가지 개발 방법론을 제시한다.
9단계는 개발 문화 및 개발자의 인식 변화, 클라우드 네이티브(Cloud
Native) 앱개발을 위한 원칙 설정, 기존 모노리식 서비스(Monolithic
Service)를 분석하여 재구조화, MSA를 위한 서비스 스토리(ServiceStory) 정립, 생산성 향상을 위한 DevOps 환경구현, 서비스 간 연계를
위한 API Gateway 활용 및 API 구현, SaaS 플랫폼을 통한 체계적인
관리 체계 및 IT 자동화, 사용자 중심의 포틀릿(개인화) 서비스 구현, 그
리고 API, 앱 라이프 사이클(APP Life Cycle) 관리 및 통합 관제 실행
으로 나누어지며 특히 2단계부터 5단계까지는 미래지향적인 개발 환경을
도입하는 과정에서 전통적인 개발방식을 대체하도록 제안하였다.
우리는 이 연구를 위하여 오픈시프트(OpenShift) 기반의 클라우드 네
이티브 환경을 구성하고 실제 개발 회사를 운영하면서 경험하였던 SI 프
로젝트들의 결과를 통해서 그 효율성을 검증하였다.
본 연구의 결과가 중소 SI 개발업체에서 개발인력의 마인드 변화, 기
업의 이윤증대, 프로젝트의 품질향상을 통한 고객만족도 향상으로 이어
지기를 기대한다.
#Cloud #Cloud Native #Devops #SI

목차

제1장 서론 ····································································································· 1
제1절 연구 배경 ························································································· 3
1. 4차 산업 혁명······················································································ 3
2. 4차 산업 혁명의 핵심 ICBM ··························································· 5
3. SW 중심사회에서의 Cloud ······························································· 8
제2절 SW공학 ··························································································· 12
1. SW공학의 정의 ················································································· 12
2. SW공학의 변천사············································································· 13
3. 현재의 SW공학 ················································································· 13
4. SW공학이 당면한 이슈··································································· 14
5. SW와 SW공학 ·················································································· 16
제3절 연구 목적 ······················································································· 17
1. 연구의 목적························································································ 17
제2장 관련 연구 ·························································································· 20
제 1절 전통적인 개발 방법 ··································································· 20
1. 모놀리식 아키텍처 ············································································ 20
2. 모델1,모델2 아키텍처······································································· 21
3. SI에서의 전통적인 아키텍처 ·························································· 23
4. SW Visualization ·············································································· 24
5. SW Visualization을 기반으로 한 생산성 향상 방법 ················ 27
6. SI 개발 프로젝트 생산성 향상을 위한 프로젝트 관리
방법론 구축 ························································································ 30
7. OOPT : 소프트웨어공학 교육을 위한 객체지향 소프트웨어
개발 방법론························································································· 32
제2절 ITIL 과 CMMI ············································································ 34
1. ITIL ····································································································· 34
2. CMMI ·································································································· 38
3. Cloud 개발과 Cloud Native 개발 ················································· 48
제3절 Cloud Native ················································································ 50
1. Cloud Native 정의············································································ 50
2. Cloud Native 핵심 기술·································································· 51
3. Twelve-Factor APP ········································································ 58
제4절 Cloud Native 활용 사례 ··························································· 65
1. 아마존 ································································································ 65
2. 넷플릭스······························································································ 67
3. 쿠팡 ······································································································ 70
4. 기타 활용 및 개발 사례·································································· 74
제3장 Cloud Native 환경에서 생산성 향상을 위한 APP 개발
방법 제안 ························································································· 76
제1절 Cloud Native 환경에서 APP 개발 방법 제안 ················· 76
1. 1단계; 개발 문화의 및 인식 변화 ··············································· 77
2. 2단계; Cloud Native APP 개발을 위한 원칙 설정·················· 78
3. 3단계; 기존 Monolithic Service를 분석하여 재구조화············ 84
4. 4단계; MSA를 위한 Service Story 정립 ···································· 86
5. 5단계; 생산성 향상을 위한 DevOps 환경구현 ·························· 87
6. 6단계; Service간 연계를 위한 API Gateway활용 및 서비스 연계 방법 구현···················· 101
7. 7단계; SaaS Platform을 통한 체계적인 관리체계 및 IT 자동화 ·· 106
8. 8단계; 사용자 중심의 포틀릿(개인화) 서비스 구현 ················ 108
9. 9단계; API, APP Life Cycle관리 및 통합 관제 실행··········· 114
제2절 9가지 개발 방법론에 대한 고찰 ············································ 116
제4장 실험 및 평가 ················································································· 117
제1절 연구의 방법 ················································································· 117
1. 연구의 방법······················································································ 117
제2절 실험 및 평가 ··············································································· 122
1. D Project ·························································································· 122
2. E Project ·························································································· 124
3. F Project ·························································································· 125
4. D, E, F Project의 요약정리························································· 127
제5장 결론 및 향후 연구 방향 ·························································· 129
제1절 결론 ································································································ 129
제2절 향후 연구방향 ············································································· 131
참고문헌···································································································· 132

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