![VM 과의 차이
• OS+APP+LIB 로 구성된 VM 과는 달리 Docker 는 APP+LIB 만 설치
• OS 자원은 Host OS 와 공유
[VM] [Docker]
가상 머신에 비해 경량화가 가능하며 빠른 처리 속도](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-4-320.jpg)
![Docker Image
[Docker hub] [Docker host]
image
pull
• Docker 컨테이너를 만들기 위한 템플릿
• 이미지는 컨테이너 실행에 필요한 파일 시스템, 라이브러리, 설정 정보등을 포함
• 같은 이미지에서 여러 개의 컨테이너를 실행할 수 있고 컨테이너가 변해도 이미지 고정](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-5-320.jpg)
![Make Custom Image
• ubuntu 에 miniconda3 설치
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
root@c9a417d374a2:/# wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
--2020-08-29 07:26:10-- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8303, ...
Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.130.3|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 93052469 (89M) [application/x-sh]
Saving to: 'Miniconda3-latest-Linux-x86_64.sh'
Miniconda3-latest-Linux-x86_64.sh
100%[===================================================================================================
=====================================>] 88.74M 10.9MB/s in 9.8s
2020-08-29 07:26:19 (9.04 MB/s) - 'Miniconda3-latest-Linux-x86_64.sh' saved [93052469/93052469]
root@c9a417d374a2:/# bash Miniconda3-latest-Linux-x86_64.sh
<생략>
Thank you for installing Miniconda3!
root@c9a417d374a2:/#
• docker 컨테이너 접속
docker exec –it c9a417d374a2 bash
root@bizz:/home/bizz# docker exec -it c9a417d374a2 bash
root@c9a417d374a2:/#](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-10-320.jpg)
![Make Custom Image
• 1차 이미지 배포
docker commit c9a417d374a2 docker_custom_image:0.1
docker tag docker_custom_image:0.1 jcm9812/docker_custom_image:0.1
docker push jcm9812/docker_custom_image:0.1
root@bizz:/home/bizz# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
c9a417d374a2 ubuntu:18.04 "/bin/bash" 26 minutes ago Up 26 minutes dockertest
root@bizz:/home/bizz# docker commit c9a417d374a2 docker_custom_image:0.1
sha256:61362b1e924abe4b1384503ce503a9956b3a915e06a66a247e79eff11e4cce25
root@bizz:/home/bizz# docker tag docker_custom_image:0.1 jcm9812/docker_custom_image:0.1
root@bizz:/home/bizz# docker push jcm9812/docker_custom_image:0.1
The push refers to repository [docker.io/jcm9812/docker_custom_image]
e335ccd7dfd0: Pushed
001e4a80973b: Layer already exists
2ba5b91ca2b0: Layer already exists
2f37d1102187: Layer already exists
79bde4d54386: Layer already exists
0.1: digest: sha256:f90857818af46db53efbb9ea312dbdd169984db7a14432cbeee3082fd942e1a9 size: 1365
root@bizz:/home/bizz#](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-11-320.jpg)
![Make Custom Image
• 2차 이미지 빌드
docker commit 010fecc8215a docker_custom_image:0.2
docker tag docker_custom_image:0.1 jcm9812/docker_custom_image:0.2
docker push jcm9812/docker_custom_image:0.2
root@bizz:/tmp# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
010fecc8215a jcm9812/docker_custom_image:0.1 "/bin/bash" About an hour ago Up About an hour great_ramanujan
c9a417d374a2 ubuntu:18.04 "/bin/bash" 3 hours ago Up 3 hours dockertest
root@bizz:/tmp# docker commit 010fecc8215a docker_custom_image:0.2
sha256:ad641601e269ac243db4f634fa7c3327e4c1e4d1377870ec574b7194ec141756
root@bizz:/tmp# docker tag docker_custom_image:0.2 jcm9812/docker_custom_image:0.2
root@bizz:/tmp# docker push jcm9812/docker_custom_image:0.2
The push refers to repository [docker.io/jcm9812/docker_custom_image]
897b94cf4ef6: Pushed
e335ccd7dfd0: Layer already exists
001e4a80973b: Layer already exists
2ba5b91ca2b0: Layer already exists
2f37d1102187: Layer already exists
79bde4d54386: Layer already exists
0.2: digest: sha256:f1da086d73933235864ae1134290dcfdac69dd8faa049426251b5ba154f47319 size: 1577](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-14-320.jpg)
![Make Custom Image
• 최종 이미지 배포(Dockerfile) - Docker image 생성을 위한 스크립트
# docker image load
FROM jcm9812/docker_custom_image:0.2
# docker image load
COPY --from=openjdk:8-alpine / /
# 내부 명령어 실행
RUN /root/miniconda3/bin/python -version
# home directory 설정
WORKDIR /home/bizz
# 내부 명령어 실행
RUN ["/bin/bash", "-c", "java -version"]
Dockerfile
▪ Docker image 생성을 위한 스크립트 파일
▪ Docker exec / 설치 / commit 의 일괄 작업의 스크립팅
▪ docker hub 로 부터 1개 이상의 docker image 사용 가능](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-15-320.jpg)
![Make Custom Image
• 최종 이미지 배포
root@bizz:/tmp# docker build -t jcm9812/docker_custom_image .
Sending build context to Docker daemon 13.35MB
Step 1/5 : FROM jcm9812/docker_custom_image:0.2
0.2: Pulling from jcm9812/docker_custom_image
Digest: sha256:f1da086d73933235864ae1134290dcfdac69dd8faa049426251b5ba154f47319
Status: Downloaded newer image for jcm9812/docker_custom_image:0.2
---> ad641601e269
Step 2/5 : COPY --from=openjdk:8-alpine / /
---> Using cache
---> daffe858dbdd
Step 3/5 : RUN /root/miniconda3/bin/python --version
---> Running in ebfecf1ae0b4
Python 3.8.3
Removing intermediate container ebfecf1ae0b4
---> 38905c06c230
Step 4/5 : WORKDIR /home/bizz
---> Running in 4a72d8a73347
Removing intermediate container 4a72d8a73347
---> 7a0ab5136f38
Step 5/5 : RUN ["/bin/bash", "-c", "java -version"]
---> Running in ebf8688d442b
openjdk version "1.8.0_212"
OpenJDK Runtime Environment (IcedTea 3.12.0) (Alpine 8.212.04-r0)
OpenJDK 64-Bit Server VM (build 25.212-b04, mixed mode)
Removing intermediate container ebf8688d442b
---> 95b5b0161d7b
Successfully built 95b5b0161d7b
Successfully tagged jcm9812/docker_custom_image:latest
root@bizz:/tmp# docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
jcm9812/docker_custom_image latest 95b5b0161d7b 5 seconds ago 737MB
jcm9812/docker_custom_image 0.2 ad641601e269 14 minutes ago 632MB
docker_custom_image 0.2 ad641601e269 14 minutes ago 632MB
jcm9812/docker_custom_image 0.1 61362b1e924a 3 hours ago 524MB
docker_custom_image 0.1 61362b1e924a 3 hours ago 524MB
jcm9812/dockertest2 0.2 be612743ab2c 7 days ago 70MB
dockertest2 0.2 be612743ab2c 7 days ago 70MB
root@bizz:/tmp#](https://image.slidesharecdn.com/creatingdockercustomimage-200903081102/85/Creating-docker-custom-image-16-320.jpg)
Creating docker custom image
- 2. 목차 • Docker • VM 과의 차이 • Docker Image • command • Make Custom Image
- 3. Docker • 컨테이너 기반의 오픈 소스 가상화 플랫폼 • 애플리케이션을 신속하게 구축, 테스트 및 배 포 가능 • 컨테이너에는 라이브러리, 시스템 도구, 코드, 런타임 등 소프트웨어를 실행하는 데 필요한 모든 것이 포함 • 환경에 구애 받지 않고 애플리케이션을 신속 하게 배포 및 확장
- 4. VM 과의 차이 • OS+APP+LIB 로 구성된 VM 과는 달리 Docker 는 APP+LIB 만 설치 • OS 자원은 Host OS 와 공유 [VM] [Docker] 가상 머신에 비해 경량화가 가능하며 빠른 처리 속도
- 5. Docker Image [Docker hub] [Docker host] image pull • Docker 컨테이너를 만들기 위한 템플릿 • 이미지는 컨테이너 실행에 필요한 파일 시스템, 라이브러리, 설정 정보등을 포함 • 같은 이미지에서 여러 개의 컨테이너를 실행할 수 있고 컨테이너가 변해도 이미지 고정
- 6. Command • docker run – docker image 로 컨테이너 생성 docker run -d -it --name <docker image 이름> < docker hub reference image> • docker exec – 로컬에서 docker 컨테이너 안의 명령을 실행 docker exec -it <CONTAINER ID> <shell> • docker tag – docker hub 에 이미지를 업로드 하기 위해서는 tag 설정 docker tag <IMAGE> <저장소>/<image 이름>:<버전> • docker push – docker image 를 docker hub 에 업로드 docker push <저장소>/<image 이름>:<버전> docker push <docker hub 계정>/<image 이름>:<버전> • docker commit – 컨테이너 생성 이후 변경 사항을 docker image 에 업로드 docker commit <CONTAINER ID> <image 이름>:<버전>
- 7. Command • docker cp – docker 컨테이너와 로컬과의 파일 복사 docker cp <로컬 파일 명> <CONTAINER ID>:<저장 위치> docker cp <CONTAINER ID>:<저장 위치> <로컬 파일 명>
- 8. Make Custom Image • APP : python 3.8 – Miniconda3 • APP : java8.0 - openjdk • 고객사 APP 실행 시 필요 library 설치 ubuntu 18.04 + miniconda3 + library ubuntu 18.04 + miniconda ubuntu 18.04 + miniconda + library Dockertest:0.1 Dockertest:0.2 Dockertest:0.3 + jdk
- 9. Make Custom Image • docker hub 를 통해 ubuntu18.04 image 로 docker 컨테이너 생성 docker run -d -it --name dockertest ubuntu:18.04 root@bizz:/home/bizz# docker run -d -it --name dockertest ubuntu:18.04 Unable to find image 'ubuntu:18.04' locally 18.04: Pulling from library/ubuntu f08d8e2a3ba1: Pull complete 3baa9cb2483b: Pull complete 94e5ff4c0b15: Pull complete 1860925334f9: Pull complete Digest: sha256:05a58ded9a2c792598e8f4aa8ffe300318eac6f294bf4f49a7abae7544918592 Status: Downloaded newer image for ubuntu:18.04 c9a417d374a292db4caebe55abd890986e5a6ca8fc4aba301c8ca058cce8e154 root@bizz:/home/bizz# ls miniconda3 miniconda3_edit.tar.gz miniconda3.tar.gz mount snap root@bizz:/home/bizz# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES c9a417d374a2 ubuntu:18.04 "/bin/bash" 56 seconds ago Up 52 seconds dockertest
- 10. Make Custom Image • ubuntu 에 miniconda3 설치 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh bash Miniconda3-latest-Linux-x86_64.sh root@c9a417d374a2:/# wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --2020-08-29 07:26:10-- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8303, ... Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.130.3|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 93052469 (89M) [application/x-sh] Saving to: 'Miniconda3-latest-Linux-x86_64.sh' Miniconda3-latest-Linux-x86_64.sh 100%[=================================================================================================== =====================================>] 88.74M 10.9MB/s in 9.8s 2020-08-29 07:26:19 (9.04 MB/s) - 'Miniconda3-latest-Linux-x86_64.sh' saved [93052469/93052469] root@c9a417d374a2:/# bash Miniconda3-latest-Linux-x86_64.sh <생략> Thank you for installing Miniconda3! root@c9a417d374a2:/# • docker 컨테이너 접속 docker exec –it c9a417d374a2 bash root@bizz:/home/bizz# docker exec -it c9a417d374a2 bash root@c9a417d374a2:/#
- 11. Make Custom Image • 1차 이미지 배포 docker commit c9a417d374a2 docker_custom_image:0.1 docker tag docker_custom_image:0.1 jcm9812/docker_custom_image:0.1 docker push jcm9812/docker_custom_image:0.1 root@bizz:/home/bizz# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES c9a417d374a2 ubuntu:18.04 "/bin/bash" 26 minutes ago Up 26 minutes dockertest root@bizz:/home/bizz# docker commit c9a417d374a2 docker_custom_image:0.1 sha256:61362b1e924abe4b1384503ce503a9956b3a915e06a66a247e79eff11e4cce25 root@bizz:/home/bizz# docker tag docker_custom_image:0.1 jcm9812/docker_custom_image:0.1 root@bizz:/home/bizz# docker push jcm9812/docker_custom_image:0.1 The push refers to repository [docker.io/jcm9812/docker_custom_image] e335ccd7dfd0: Pushed 001e4a80973b: Layer already exists 2ba5b91ca2b0: Layer already exists 2f37d1102187: Layer already exists 79bde4d54386: Layer already exists 0.1: digest: sha256:f90857818af46db53efbb9ea312dbdd169984db7a14432cbeee3082fd942e1a9 size: 1365 root@bizz:/home/bizz#
- 12. Make Custom Image • 1차 배포 이미지 로 docker 컨테이너 생성 docker run -d -it jcm9812/docker_custom_image:0.1 - local 에 docker image 가 없을 경우 docker run -d -it docker_custom_image:0.1 - local 에 docker image 가 있을 경우 root@bizz:/home/bizz# docker run -d -it jcm9812/docker_custom_image:0.1 010fecc8215a38ce3cedca84388e2ac4948e609777bb6d32d5d1f15ea7cd0105 root@bizz:/home/bizz# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 010fecc8215a jcm9812/docker_custom_image:0.1 "/bin/bash" 4 seconds ago Up 2 seconds great_ramanujan c9a417d374a2 ubuntu:18.04 "/bin/bash" 2 hours ago Up 2 hours dockertest root@bizz:/tmp# docker cp numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl 010fecc8215a:/tmp root@bizz:/tmp# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 010fecc8215a jcm9812/docker_custom_image:0.1 "/bin/bash" 53 minutes ago Up 53 minutes great_ramanujan c9a417d374a2 ubuntu:18.04 "/bin/bash" 2 hours ago Up 2 hours root@bizz:/tmp# docker exec -it 010fecc8215a bash (base) root@010fecc8215a:/# ls /tmp/ numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl (base) root@010fecc8215a:/# • 라이브러리 컨테이너에 복사(ex : numpy-1.19.1 ) docker cp numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl 010fecc8215a:/tmp docker exec –it 010fecc8215a bash
- 13. Make Custom Image • 필요 라이브 러리 및 패키지 설치 /root/miniconda3/bin/python -m pip install /tmp/ tmp/numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl (base) root@010fecc8215a:/# /root/miniconda3/bin/python -m pip install /tmp/numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl Processing /tmp/numpy-1.19.1-cp38-cp38-manylinux1_x86_64.whl Installing collected packages: numpy Successfully installed numpy-1.19.1 (base) root@010fecc8215a:/#
- 14. Make Custom Image • 2차 이미지 빌드 docker commit 010fecc8215a docker_custom_image:0.2 docker tag docker_custom_image:0.1 jcm9812/docker_custom_image:0.2 docker push jcm9812/docker_custom_image:0.2 root@bizz:/tmp# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 010fecc8215a jcm9812/docker_custom_image:0.1 "/bin/bash" About an hour ago Up About an hour great_ramanujan c9a417d374a2 ubuntu:18.04 "/bin/bash" 3 hours ago Up 3 hours dockertest root@bizz:/tmp# docker commit 010fecc8215a docker_custom_image:0.2 sha256:ad641601e269ac243db4f634fa7c3327e4c1e4d1377870ec574b7194ec141756 root@bizz:/tmp# docker tag docker_custom_image:0.2 jcm9812/docker_custom_image:0.2 root@bizz:/tmp# docker push jcm9812/docker_custom_image:0.2 The push refers to repository [docker.io/jcm9812/docker_custom_image] 897b94cf4ef6: Pushed e335ccd7dfd0: Layer already exists 001e4a80973b: Layer already exists 2ba5b91ca2b0: Layer already exists 2f37d1102187: Layer already exists 79bde4d54386: Layer already exists 0.2: digest: sha256:f1da086d73933235864ae1134290dcfdac69dd8faa049426251b5ba154f47319 size: 1577
- 15. Make Custom Image • 최종 이미지 배포(Dockerfile) - Docker image 생성을 위한 스크립트 # docker image load FROM jcm9812/docker_custom_image:0.2 # docker image load COPY --from=openjdk:8-alpine / / # 내부 명령어 실행 RUN /root/miniconda3/bin/python -version # home directory 설정 WORKDIR /home/bizz # 내부 명령어 실행 RUN ["/bin/bash", "-c", "java -version"] Dockerfile ▪ Docker image 생성을 위한 스크립트 파일 ▪ Docker exec / 설치 / commit 의 일괄 작업의 스크립팅 ▪ docker hub 로 부터 1개 이상의 docker image 사용 가능
- 16. Make Custom Image • 최종 이미지 배포 root@bizz:/tmp# docker build -t jcm9812/docker_custom_image . Sending build context to Docker daemon 13.35MB Step 1/5 : FROM jcm9812/docker_custom_image:0.2 0.2: Pulling from jcm9812/docker_custom_image Digest: sha256:f1da086d73933235864ae1134290dcfdac69dd8faa049426251b5ba154f47319 Status: Downloaded newer image for jcm9812/docker_custom_image:0.2 ---> ad641601e269 Step 2/5 : COPY --from=openjdk:8-alpine / / ---> Using cache ---> daffe858dbdd Step 3/5 : RUN /root/miniconda3/bin/python --version ---> Running in ebfecf1ae0b4 Python 3.8.3 Removing intermediate container ebfecf1ae0b4 ---> 38905c06c230 Step 4/5 : WORKDIR /home/bizz ---> Running in 4a72d8a73347 Removing intermediate container 4a72d8a73347 ---> 7a0ab5136f38 Step 5/5 : RUN ["/bin/bash", "-c", "java -version"] ---> Running in ebf8688d442b openjdk version "1.8.0_212" OpenJDK Runtime Environment (IcedTea 3.12.0) (Alpine 8.212.04-r0) OpenJDK 64-Bit Server VM (build 25.212-b04, mixed mode) Removing intermediate container ebf8688d442b ---> 95b5b0161d7b Successfully built 95b5b0161d7b Successfully tagged jcm9812/docker_custom_image:latest root@bizz:/tmp# docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE jcm9812/docker_custom_image latest 95b5b0161d7b 5 seconds ago 737MB jcm9812/docker_custom_image 0.2 ad641601e269 14 minutes ago 632MB docker_custom_image 0.2 ad641601e269 14 minutes ago 632MB jcm9812/docker_custom_image 0.1 61362b1e924a 3 hours ago 524MB docker_custom_image 0.1 61362b1e924a 3 hours ago 524MB jcm9812/dockertest2 0.2 be612743ab2c 7 days ago 70MB dockertest2 0.2 be612743ab2c 7 days ago 70MB root@bizz:/tmp#
- 17. Make Custom Image • 최종 이미지 확인 root@bizz:/tmp# docker run -d -it jcm9812/docker_custom_image ef699044e1d1b2d7936994cd6b9c9b5131ee89757a11c436b30ffac5aeddad75 root@bizz:/tmp# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES ef699044e1d1 jcm9812/docker_custom_image "/bin/bash" 3 seconds ago Up 1 second objective_gagarin 010fecc8215a jcm9812/docker_custom_image:0.1 "/bin/bash" 2 hours ago Up 2 hours great_ramanujan c9a417d374a2 ubuntu:18.04 "/bin/bash" 3 hours ago Up 3 hours dockertest root@bizz:/tmp# docker exec -it ef699044e1d1 bash (base) root@ef699044e1d1:/home/bizz# java -version openjdk version "1.8.0_212" OpenJDK Runtime Environment (IcedTea 3.12.0) (Alpine 8.212.04-r0) OpenJDK 64-Bit Server VM (build 25.212-b04, mixed mode) (base) root@ef699044e1d1:/home/bizz# /root/miniconda3/bin/python --version Python 3.8.3 (base) root@ef699044e1d1:/home/bizz#
- 18. 감사합니다