2/11/2024 0 Comments Docker build![]() ![]() A given name-value must be listed in the networks section. networks: This is the identifier of the named networks to use.Otherwise, it’s searching for this image in the library or remote-registry. image: Tells Docker which name it should give to the image when build-features are used.dockerfile: If given, it sets an alternate name for a Dockerfile.context: If given, it specifies the build-directory, where the Dockerfile is looked-up.build: If given, docker-compose is able to build an image from a Dockerfile.services: Each object in this key defines a service, a.k.a container.Here we use the newer version, whereas the legacy format is ‘1’. version: Specifies which format version should be used.We can combine the configuration for both services in one file called docker-compose.yml: version: '2' To create an image from our Dockerfile, we have to run ‘docker build’ like before: We must define them as JSON-Array because we’ll use an ENTRYPOINT in combination with a CMD for some application arguments. ENTRYPOINT: This will be the executable to start when the container is booting.COPY: We let Docker copy our jar file into the image.MAINTAINER: The maintainer of the image.FROM: As the base for our image, we’ll take the Java-enabled Alpine Linux created in the previous section.This file contains the following information: To dockerize the application, we first create a file named Dockerfile with the following content: FROM openjdk:8-jdk-alpineĬOPY target/docker-message-server-1.0.0.jar message-server-1.0.0.jarĮNTRYPOINT Now we have a working Spring Boot application that we can access at localhost:8888/messages. ![]() If you wanted a version of Python2, you’d get 2.7 if you left off the 3.Īpt-get clean removes all packages from the cache to save space in the final image.Next, we’ll start up the Spring Boot application: $> java -jar target/docker-message-server-1.0.0.jar Python3 is the package for installing Python 3. git is the package for downloading source code from a git repository. R-base and r-base-dev are packages needed to install R. You could omit it, but you’ll find the resulting image will be larger. The - no-install-recommends flag is simply to keep the image smaller. Without it apt-get won’t know that yes, you really want to install the software and dependencies specified and the build will fail. apt-get install is the command that proceeds the list of applications you wish to install.Ī -y flag is required. RUN tells Docker to RUN the commands that follow.Īpt-get update tells apt-get to get the most recent sources for packages you’ll install. & apt - get install - y - no - install - recommends r - base r - base - dev git python3 \ We can do this all using the apt package manager with the command apt-get. Right now, we just have a containerized Linux distribution. INSTALLING SOFTWARE & DEPENDENCIES WITH apt-get After that you’re adding the image name debian with the version tag stretch-slim. FROM is Docker’s way of specifying that this is the base image layer. In your Dockerfile, write FROM debian:stretch-slim. Slim is used to denote that it’s a small image designed for containers. Stretch was the name for the most recent version of Debian Linux when this was written. You can select the tags tab to see all available tags. You’ll see the Debian has an official image. We’re choosing Debian in this example because it’s one of the smaller containers that already contains the libraries R and Python rely on.ĭocker hub makes it easy to search for images. Docker Best Practices suggests using an official image and using the smallest image that meets your needs.
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