dockerignore 0.0 s = > = > transferring context : 35 B 0.0s = > load metadata for docker.io/library/nginx:latest 0.0s = > load build context 0.0 s = > = > transferring context : 21.54 kB 0.0 s = > CACHED FROM docker.io/library/nginx 0.0s = > WORKDIR /usr/share/nginx/html 0.0s = > COPY index.html. Building 0.4 s ( 9 /9 ) FINISHED = > load build definition from Dockerfile 0.0 s = > = > transferring dockerfile : 535 B 0.0s = > load. json ➜ 07 -dockerfile docker build -t dimmaryanto93/centos:1.7. \node_modules\ Directory : C:\Users\dimasm93\Workspaces\youtube\docker\07-dockerfile\node_modules Mode LastWriteTime Length Name - d- 7:06 AM hammerjs d- 7:06 AM jquery d- 7:06 AM materialize-css -a - 6 /23/2021 7:06 AM 940.
#Enable multi stage builds for docker on mac install
0.0 s = > CACHED RUN npm install -prod 0.0 s = > exporting to image 0.0 s = > = > exporting layers 0.0 s = > = > writing image sha256 : 422 db87c7b7f27d46a288ec6b20cba0d60fb23aba53602aa33bc24fd4e476f97 0.0 s = > = > naming to docker.io/dimmaryanto93/node:build ➜ 07 -dockerfile docker create -name extract dimmaryanto93/node:build 7431e0726cea175748cf5805e76ec0d601cbedfa1722b1324e5650e3d2c51e71 ➜ 07 -dockerfile docker container cp extract : /sources/node_modules. Building 1.3s ( 9 /9 ) FINISHED = > load build definition from build.Dockerfile 0.0s = > = > transferring dockerfile: 37B 0.0s = > load.
\build.Dockerfile -t dimmaryanto93/node:build. Jika di jalankan maka hasilnya seperti berikut: Simpan file berikut dengan nama Dockerfile
Simpan file berikut dengan nama build.Dockerfile Simpan file berikut dengan nama index.html Simpan file berikut dengan nama package.json Here’s an example of a build.Dockerfile and Dockerfile which adhere to the builder pattern above: Maintaining two Dockerfiles is not ideal. This has been referred to as the “builder pattern”. It was actually very common to have one Dockerfile to use for development (which contained everything needed to build your application), and a slimmed-down one to use for production, which only contained your application and exactly what was needed to run it. To write a really efficient Dockerfile, you have traditionally needed to employ shell tricks and other logic to keep the layers as small as possible and to ensure that each layer has the artifacts it needs from the previous layer and nothing else. Each instruction in the Dockerfile adds a layer to the image, and you need to remember to clean up any artifacts you don’t need before moving on to the next layer. One of the most challenging things about building images is keeping the image size down.
Hai semuanya, di materi kali ini kita akan membahas tentang Multiple stage builds pada single Dockerfile.
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