At my company, we have hardened containers created by the security team, and I would like to extend the hardened container with another docker image. For example, if we have a hardened Debian container, and I want to add Apache, how do I do this?
I understand I can use FROM to use a base, but the examples I've seen, don't add another level of published images to an existing base, but specific commands. Do I just go to the official Dockerhub Apache (HTTP) image and just copy and paste the commands from the github repo? I'm assuming there's a cleaner way (but not sure if there is).
For example, do I
FROM mycompanyprivaterepo/Debian:latest
//some command?
FROM httpd
docker build -t mynewimagewithapache
UPDATE:
After attempting via apt-get apache2 per some comments, it kept hanging on interactive questions, Solved with the help of comments using:
My Dockerfile:
FROM myprivaterepo/hardened-ubuntu
RUN apt-get update && \
DEBIAN_FRONTEND=noninteractive apt-get -qq install apache2
and building via:
$ docker build -t hardened-ubuntu-apache
Well, as far as I understood, you cannot use multi-stage builds and just
COPY --from=base-image /path/to/file/you-are-interested-in /path/inside/new-stage-image
in order to copy the required data to your preferred image. If this is the case, then you have to create your own Dockerfile with base image as your company mycompanyprivaterepo/Debian:latest, and then just create some layers on top of it in order to install required software, using RUN.
Related
I have a few Dockerfiles right now.
One is for Cassandra 3.5, and it is FROM cassandra:3.5
I also have a Dockerfile for Kafka, but t is quite a bit more complex. It is FROM java:openjdk-8-fre and it runs a long command to install Kafka and Zookeeper.
Finally, I have an application written in Scala that uses SBT.
For that Dockerfile, it is FROM broadinstitute/scala-baseimage, which gets me Java 8, Scala 2.11.7, and STB 0.13.9, which are what I need.
Perhaps, I don't understand how Docker works, but my Scala program has Cassandra and Kafka as dependencies and for development purposes, I want others to be able to simply clone my repo with the Dockerfile and then be able to build it with Cassandra, Kafka, Scala, Java and SBT all baked in so that they can just compile the source. I'm having a lot of issues with this though.
How do I combine these Dockerfiles? How do I simply make an environment with those things baked in?
You can, with the multi-stage builds feature introduced in Docker 1.17
Take a look at this:
FROM golang:1.7.3
WORKDIR /go/src/github.com/alexellis/href-counter/
RUN go get -d -v golang.org/x/net/html
COPY app.go .
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o app .
FROM alpine:latest
RUN apk --no-cache add ca-certificates
WORKDIR /root/
COPY --from=0 /go/src/github.com/alexellis/href-counter/app .
CMD ["./app"]
Then build the image normally:
docker build -t alexellis2/href-counter:latest
From : https://docs.docker.com/develop/develop-images/multistage-build/
The end result is the same tiny production image as before, with a significant reduction in complexity. You don’t need to create any intermediate images and you don’t need to extract any artifacts to your local system at all.
How does it work? The second FROM instruction starts a new build stage with the alpine:latest image as its base. The COPY --from=0 line copies just the built artifact from the previous stage into this new stage. The Go SDK and any intermediate artifacts are left behind, and not saved in the final image.
You can't combine dockerfiles as conflicts may occur. What you want to do is to create a new dockerfile or build a custom image.
TL;DR;
If your current development container contains all the tools you need and works, then save it as an image and upon it to a repo and create a dockerfile to pull from that image off that repo.
Details:
Building a custom image is by far easier than creating a dockerfile using a public image as you can store whatever hacks and mods into the image. To do so, start a blank container with a basic Linux image (or broadinstitute/scala-baseimage), install whatever tools you need and configure them until everything works correctly, then save it (the container) as an image. Create a new container off this image and test to see if you can build your code on top of it via docker-compose (or however you want to do/build it). If it works, than you have a working base image that you can upload to a repo so others can pull it.
To build a dockerfile with a public image, you will need to put all hacks, mods and setup on the dockerfile itself. That is, you will need to place every command line that you used into a text file and reduce whatever hacks, mods and setup into command lines. At the end, your dockerfile will create an image automatically and you don't need to store this image into a repo and all you need to do is to give others the dockerfile and they can spin the image up at their own docker.
Note that once you have a working dockerfile, you can tweak it easily as it will create a new image every time you use the dockerfile. With a custom image, you may run into issues where you need to rebuild the image due to conflicts. For example, all of your tools work with openjdk until you install one that doesn't work. The fix may involve uninstalling openjdk and use the oracle one, but all configuration you did for all the tools that you have installed broke.
The following answer applies to docker 1.7 and above:
I would prefer to use --from=NAME and from image as NAME
Why?
You can use --from=0 and above but this might get little hard to manage when you have many docker stages in dockerfile.
sample example:
FROM golang:1.7.3 as backend
WORKDIR /backend
RUN go get -d -v golang.org/x/net/html
COPY app.go .
RUN #install some stuff, compile assets....
FROM golang:1.7.3 as assets
WORKDIR /assets
RUN ./getassets.sh
FROM nodejs:latest as frontend
RUN npm install
WORKDIR /assets
COPY --from=assets /asets .
CMD ["./app"]
FROM alpine:latest as mergedassets
WORKDIR /root/
COPY --from=frontend . /
COPY --from=backend ./backend .
CMD ["./app"]
Note: Managing dockerfile properly will help to build a docker image much faster. Internally docker usings docker layer caching to help with this process, incase the image have to be rebuilt.
Yes, you can roll a whole lot of software into a single Docker image (GitLab does this, with one image that includes Postgres and everything else), but generalhenry is right - that's not the typical way to use Docker.
As you say, Cassandra and Kafka are dependencies for your Scala app, they're not part of the app, so they don't all belong in the same image.
Having to orchestrate many containers with Docker Compose adds an extra admin layer, but it gives you much more flexibility:
your containers can have different lifespans, so when you have a new version of your app to deploy, you only need to run a new app container, you can leave the dependencies running;
you can use the same app image in any environment, using different configurations for your dependencies - e.g. in dev you can run a basic Kafka container and in prod have it clustered on many nodes, your app container is the same;
your dependencies can be used by other apps too - so multiple consumers can run in different containers and all work with the same Kafka and Cassandra containers;
plus all the scalability, logging etc. already mentioned.
When might you want to "combine" Docker images?
As others are pointing out here, you typically don't want to put your database and you application into the same Docker image. Ideally you want a Docker image to wrap a "single process"/"runtime". This allows each process to be scaled up/down and restarted individually.
Let's say you want to use some shared C-libraries/executables that are not available in the package manager of the image you are using, but someone else has created an image where they are precompiled - and you might not want to recompile these binaries as part of your build (depending on how long this takes). Is there a way to quickly create a POC-Docker image containing all of these executables/libraries based on the existing images?
Docker and Composition
Relevant discussion: https://github.com/moby/moby/issues/3378
What Docker lacks is a good way of composing images. You can copy individual files or entire file systems from other images into your own using COPY --from=<image> <from-path> <to-path>. There is no builtin way of copying the environment variables from another image into your own.
That said, I have personally created a custom frontend/parser for Dockerfiles that adds an INCLUDE <image>-keyword. This copies the entire filesystem, along with the environment variables into your image:
DOCKER_BUILDKIT=1 docker build -t myimage .
#syntax=bergkvist/includeimage
FROM alpine:3.12.0
INCLUDE rust:1.44-alpine3.12
INCLUDE python:3.8.3-alpine3.12
nixpkgs.dockerTools
if you want truly composable Docker builds, I recommend checking out dockerTools in nixpkgs. This will also result in more reproducible (and typically very small) images. See https://nix.dev/tutorials/building-and-running-docker-images
docker load < $(nix-build docker-image.nix)
# docker-image.nix
let
pkgs = import <nixpkgs> {};
python = pkgs.python38;
rustc = pkgs.rustc;
in pkgs.dockerTools.buildImage {
name = "myimage";
tag = "latest";
contents = [ python rustc ];
}
Docker doesn't do merges of the images, but there isn't anything stopping you combining the dockerfiles if available, and rolling into them into a fat image which you'd need to build. There's times where this makes sense, however, as for running multiple processes in a container most Docker dogma will point to this as less desirable especially with microservice architecture (however rules are there to be broken right?)
You could not combine docker images into 1 container. See the detail discussions in Moby issue, How do I combine several images into one via Dockerfile.
For your case, it is better to not include the whole Cassandra and Kafka images. The application would only need the Cassandra Scala driver and Kafka Scala driver. The container should include the drivers only.
I needed docker:latest and python:latest images for Gitlab CI. Here is what I came up with:
FROM ubuntu:latest
RUN apt update
RUN apt install -y sudo
RUN sudo apt install -y docker.io
RUN sudo apt install -y python3-pip
RUN sudo apt install -y python3
RUN docker --version
RUN pip3 --version
RUN python3 --version
After I've build and pushed it to my Docker Hub repo:
docker build -t docker-hub-repo/image-name:latest path/to/Dockerfile
docker push docker-hub-repo/image-name:latest
Don't forget to docker login before push
Hope it helps
I have a few Dockerfiles right now.
One is for Cassandra 3.5, and it is FROM cassandra:3.5
I also have a Dockerfile for Kafka, but t is quite a bit more complex. It is FROM java:openjdk-8-fre and it runs a long command to install Kafka and Zookeeper.
Finally, I have an application written in Scala that uses SBT.
For that Dockerfile, it is FROM broadinstitute/scala-baseimage, which gets me Java 8, Scala 2.11.7, and STB 0.13.9, which are what I need.
Perhaps, I don't understand how Docker works, but my Scala program has Cassandra and Kafka as dependencies and for development purposes, I want others to be able to simply clone my repo with the Dockerfile and then be able to build it with Cassandra, Kafka, Scala, Java and SBT all baked in so that they can just compile the source. I'm having a lot of issues with this though.
How do I combine these Dockerfiles? How do I simply make an environment with those things baked in?
You can, with the multi-stage builds feature introduced in Docker 1.17
Take a look at this:
FROM golang:1.7.3
WORKDIR /go/src/github.com/alexellis/href-counter/
RUN go get -d -v golang.org/x/net/html
COPY app.go .
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o app .
FROM alpine:latest
RUN apk --no-cache add ca-certificates
WORKDIR /root/
COPY --from=0 /go/src/github.com/alexellis/href-counter/app .
CMD ["./app"]
Then build the image normally:
docker build -t alexellis2/href-counter:latest
From : https://docs.docker.com/develop/develop-images/multistage-build/
The end result is the same tiny production image as before, with a significant reduction in complexity. You don’t need to create any intermediate images and you don’t need to extract any artifacts to your local system at all.
How does it work? The second FROM instruction starts a new build stage with the alpine:latest image as its base. The COPY --from=0 line copies just the built artifact from the previous stage into this new stage. The Go SDK and any intermediate artifacts are left behind, and not saved in the final image.
You can't combine dockerfiles as conflicts may occur. What you want to do is to create a new dockerfile or build a custom image.
TL;DR;
If your current development container contains all the tools you need and works, then save it as an image and upon it to a repo and create a dockerfile to pull from that image off that repo.
Details:
Building a custom image is by far easier than creating a dockerfile using a public image as you can store whatever hacks and mods into the image. To do so, start a blank container with a basic Linux image (or broadinstitute/scala-baseimage), install whatever tools you need and configure them until everything works correctly, then save it (the container) as an image. Create a new container off this image and test to see if you can build your code on top of it via docker-compose (or however you want to do/build it). If it works, than you have a working base image that you can upload to a repo so others can pull it.
To build a dockerfile with a public image, you will need to put all hacks, mods and setup on the dockerfile itself. That is, you will need to place every command line that you used into a text file and reduce whatever hacks, mods and setup into command lines. At the end, your dockerfile will create an image automatically and you don't need to store this image into a repo and all you need to do is to give others the dockerfile and they can spin the image up at their own docker.
Note that once you have a working dockerfile, you can tweak it easily as it will create a new image every time you use the dockerfile. With a custom image, you may run into issues where you need to rebuild the image due to conflicts. For example, all of your tools work with openjdk until you install one that doesn't work. The fix may involve uninstalling openjdk and use the oracle one, but all configuration you did for all the tools that you have installed broke.
The following answer applies to docker 1.7 and above:
I would prefer to use --from=NAME and from image as NAME
Why?
You can use --from=0 and above but this might get little hard to manage when you have many docker stages in dockerfile.
sample example:
FROM golang:1.7.3 as backend
WORKDIR /backend
RUN go get -d -v golang.org/x/net/html
COPY app.go .
RUN #install some stuff, compile assets....
FROM golang:1.7.3 as assets
WORKDIR /assets
RUN ./getassets.sh
FROM nodejs:latest as frontend
RUN npm install
WORKDIR /assets
COPY --from=assets /asets .
CMD ["./app"]
FROM alpine:latest as mergedassets
WORKDIR /root/
COPY --from=frontend . /
COPY --from=backend ./backend .
CMD ["./app"]
Note: Managing dockerfile properly will help to build a docker image much faster. Internally docker usings docker layer caching to help with this process, incase the image have to be rebuilt.
Yes, you can roll a whole lot of software into a single Docker image (GitLab does this, with one image that includes Postgres and everything else), but generalhenry is right - that's not the typical way to use Docker.
As you say, Cassandra and Kafka are dependencies for your Scala app, they're not part of the app, so they don't all belong in the same image.
Having to orchestrate many containers with Docker Compose adds an extra admin layer, but it gives you much more flexibility:
your containers can have different lifespans, so when you have a new version of your app to deploy, you only need to run a new app container, you can leave the dependencies running;
you can use the same app image in any environment, using different configurations for your dependencies - e.g. in dev you can run a basic Kafka container and in prod have it clustered on many nodes, your app container is the same;
your dependencies can be used by other apps too - so multiple consumers can run in different containers and all work with the same Kafka and Cassandra containers;
plus all the scalability, logging etc. already mentioned.
When might you want to "combine" Docker images?
As others are pointing out here, you typically don't want to put your database and you application into the same Docker image. Ideally you want a Docker image to wrap a "single process"/"runtime". This allows each process to be scaled up/down and restarted individually.
Let's say you want to use some shared C-libraries/executables that are not available in the package manager of the image you are using, but someone else has created an image where they are precompiled - and you might not want to recompile these binaries as part of your build (depending on how long this takes). Is there a way to quickly create a POC-Docker image containing all of these executables/libraries based on the existing images?
Docker and Composition
Relevant discussion: https://github.com/moby/moby/issues/3378
What Docker lacks is a good way of composing images. You can copy individual files or entire file systems from other images into your own using COPY --from=<image> <from-path> <to-path>. There is no builtin way of copying the environment variables from another image into your own.
That said, I have personally created a custom frontend/parser for Dockerfiles that adds an INCLUDE <image>-keyword. This copies the entire filesystem, along with the environment variables into your image:
DOCKER_BUILDKIT=1 docker build -t myimage .
#syntax=bergkvist/includeimage
FROM alpine:3.12.0
INCLUDE rust:1.44-alpine3.12
INCLUDE python:3.8.3-alpine3.12
nixpkgs.dockerTools
if you want truly composable Docker builds, I recommend checking out dockerTools in nixpkgs. This will also result in more reproducible (and typically very small) images. See https://nix.dev/tutorials/building-and-running-docker-images
docker load < $(nix-build docker-image.nix)
# docker-image.nix
let
pkgs = import <nixpkgs> {};
python = pkgs.python38;
rustc = pkgs.rustc;
in pkgs.dockerTools.buildImage {
name = "myimage";
tag = "latest";
contents = [ python rustc ];
}
Docker doesn't do merges of the images, but there isn't anything stopping you combining the dockerfiles if available, and rolling into them into a fat image which you'd need to build. There's times where this makes sense, however, as for running multiple processes in a container most Docker dogma will point to this as less desirable especially with microservice architecture (however rules are there to be broken right?)
You could not combine docker images into 1 container. See the detail discussions in Moby issue, How do I combine several images into one via Dockerfile.
For your case, it is better to not include the whole Cassandra and Kafka images. The application would only need the Cassandra Scala driver and Kafka Scala driver. The container should include the drivers only.
I needed docker:latest and python:latest images for Gitlab CI. Here is what I came up with:
FROM ubuntu:latest
RUN apt update
RUN apt install -y sudo
RUN sudo apt install -y docker.io
RUN sudo apt install -y python3-pip
RUN sudo apt install -y python3
RUN docker --version
RUN pip3 --version
RUN python3 --version
After I've build and pushed it to my Docker Hub repo:
docker build -t docker-hub-repo/image-name:latest path/to/Dockerfile
docker push docker-hub-repo/image-name:latest
Don't forget to docker login before push
Hope it helps
To install my microservice binaries I need a centos. And since I have 20 microservice I'm trying to find a way to optimize the images size so I'm wondering if there's a way to create a docker image without os and at the moment of deployment Docker takes the OS Layer from cache to put it in all the images.. I'm a beginner so I don't know if I'm clear in my statements ?
Yes, look at the scratch keyword (docs):
You can use Docker’s reserved, minimal image, scratch, as a starting
point for building containers.
Also you may find useful using multi-stage builds.
An example:
FROM scratch
ADD hello /
FROM fedora
RUN yum -y update && yum clean all
RUN yum -y install nginx
I found an image on docker (https://hub.docker.com/r/realbazso/horizon) that I like. I am trying to update this to where it runs the most current version of this software.
I tested running the image with the arguments provided and it works great, but the version of the VMWare Horizon client that the image has does not have an updated SSL library and cannot connect to the servers I need it to without throwing an SSL error.
I'm super new to docker, but I was wondering if anyone could help me with this. I'm wanting to install it on the ubuntu:14.04 image, but I'm just not able to wrap my head around it.
I am going to add some more information to #user2915097's answer.
The first thing to do when you want to edit/update an already existing image is to see if you can find its Dockerfile. Fortunately, this repo has a Dockerfile attached to it so it makes it easier. I commented the file so that you can understand better what is going on:
# Pulls the ubuntu image. This will serve as the base image for the container. You could change this and use ubuntu:16.04 to get the latest LTS.
FROM ubuntu:14.04
# RUN will execute the commands for you when you build the image from this Dockerfile. This is probably where you will want to change the source
RUN echo "deb http://archive.canonical.com/ubuntu/ trusty partner" >> /etc/apt/sources.list && \
dpkg --add-architecture i386 && \
apt-get update && \
apt-get install -y vmware-view-client
# CMD will execute the command (there can only be one!) when you start/run the container
CMD /usr/bin/vmware-view
A good resource to understand those commands is https://docs.docker.com/engine/reference/builder/. Make sure to visit that page to learn more about Dockerfile!
Once you have a Dockerfile ready to build, navigate to the folder where your Dockerfile is and run:
# Make sure to change the argument of -t
docker build -t yourDockerHubUsername/containerName .
You might need to modify your Dockerfile a few times before it works correctly. If you are having issues with Docker using cached data
as you have the recipe, if you look at
https://hub.docker.com/r/realbazso/horizon/~/dockerfile/
you should create a directory, put this Dockerfile in, modify it, build another image
docker build -t tucker/myhorizon .
launch it, test it, modify again the Dockerfile maybe.
Check the doc R0MANARMY listed
I have a few Dockerfiles right now.
One is for Cassandra 3.5, and it is FROM cassandra:3.5
I also have a Dockerfile for Kafka, but t is quite a bit more complex. It is FROM java:openjdk-8-fre and it runs a long command to install Kafka and Zookeeper.
Finally, I have an application written in Scala that uses SBT.
For that Dockerfile, it is FROM broadinstitute/scala-baseimage, which gets me Java 8, Scala 2.11.7, and STB 0.13.9, which are what I need.
Perhaps, I don't understand how Docker works, but my Scala program has Cassandra and Kafka as dependencies and for development purposes, I want others to be able to simply clone my repo with the Dockerfile and then be able to build it with Cassandra, Kafka, Scala, Java and SBT all baked in so that they can just compile the source. I'm having a lot of issues with this though.
How do I combine these Dockerfiles? How do I simply make an environment with those things baked in?
You can, with the multi-stage builds feature introduced in Docker 1.17
Take a look at this:
FROM golang:1.7.3
WORKDIR /go/src/github.com/alexellis/href-counter/
RUN go get -d -v golang.org/x/net/html
COPY app.go .
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o app .
FROM alpine:latest
RUN apk --no-cache add ca-certificates
WORKDIR /root/
COPY --from=0 /go/src/github.com/alexellis/href-counter/app .
CMD ["./app"]
Then build the image normally:
docker build -t alexellis2/href-counter:latest
From : https://docs.docker.com/develop/develop-images/multistage-build/
The end result is the same tiny production image as before, with a significant reduction in complexity. You don’t need to create any intermediate images and you don’t need to extract any artifacts to your local system at all.
How does it work? The second FROM instruction starts a new build stage with the alpine:latest image as its base. The COPY --from=0 line copies just the built artifact from the previous stage into this new stage. The Go SDK and any intermediate artifacts are left behind, and not saved in the final image.
You can't combine dockerfiles as conflicts may occur. What you want to do is to create a new dockerfile or build a custom image.
TL;DR;
If your current development container contains all the tools you need and works, then save it as an image and upon it to a repo and create a dockerfile to pull from that image off that repo.
Details:
Building a custom image is by far easier than creating a dockerfile using a public image as you can store whatever hacks and mods into the image. To do so, start a blank container with a basic Linux image (or broadinstitute/scala-baseimage), install whatever tools you need and configure them until everything works correctly, then save it (the container) as an image. Create a new container off this image and test to see if you can build your code on top of it via docker-compose (or however you want to do/build it). If it works, than you have a working base image that you can upload to a repo so others can pull it.
To build a dockerfile with a public image, you will need to put all hacks, mods and setup on the dockerfile itself. That is, you will need to place every command line that you used into a text file and reduce whatever hacks, mods and setup into command lines. At the end, your dockerfile will create an image automatically and you don't need to store this image into a repo and all you need to do is to give others the dockerfile and they can spin the image up at their own docker.
Note that once you have a working dockerfile, you can tweak it easily as it will create a new image every time you use the dockerfile. With a custom image, you may run into issues where you need to rebuild the image due to conflicts. For example, all of your tools work with openjdk until you install one that doesn't work. The fix may involve uninstalling openjdk and use the oracle one, but all configuration you did for all the tools that you have installed broke.
The following answer applies to docker 1.7 and above:
I would prefer to use --from=NAME and from image as NAME
Why?
You can use --from=0 and above but this might get little hard to manage when you have many docker stages in dockerfile.
sample example:
FROM golang:1.7.3 as backend
WORKDIR /backend
RUN go get -d -v golang.org/x/net/html
COPY app.go .
RUN #install some stuff, compile assets....
FROM golang:1.7.3 as assets
WORKDIR /assets
RUN ./getassets.sh
FROM nodejs:latest as frontend
RUN npm install
WORKDIR /assets
COPY --from=assets /asets .
CMD ["./app"]
FROM alpine:latest as mergedassets
WORKDIR /root/
COPY --from=frontend . /
COPY --from=backend ./backend .
CMD ["./app"]
Note: Managing dockerfile properly will help to build a docker image much faster. Internally docker usings docker layer caching to help with this process, incase the image have to be rebuilt.
Yes, you can roll a whole lot of software into a single Docker image (GitLab does this, with one image that includes Postgres and everything else), but generalhenry is right - that's not the typical way to use Docker.
As you say, Cassandra and Kafka are dependencies for your Scala app, they're not part of the app, so they don't all belong in the same image.
Having to orchestrate many containers with Docker Compose adds an extra admin layer, but it gives you much more flexibility:
your containers can have different lifespans, so when you have a new version of your app to deploy, you only need to run a new app container, you can leave the dependencies running;
you can use the same app image in any environment, using different configurations for your dependencies - e.g. in dev you can run a basic Kafka container and in prod have it clustered on many nodes, your app container is the same;
your dependencies can be used by other apps too - so multiple consumers can run in different containers and all work with the same Kafka and Cassandra containers;
plus all the scalability, logging etc. already mentioned.
When might you want to "combine" Docker images?
As others are pointing out here, you typically don't want to put your database and you application into the same Docker image. Ideally you want a Docker image to wrap a "single process"/"runtime". This allows each process to be scaled up/down and restarted individually.
Let's say you want to use some shared C-libraries/executables that are not available in the package manager of the image you are using, but someone else has created an image where they are precompiled - and you might not want to recompile these binaries as part of your build (depending on how long this takes). Is there a way to quickly create a POC-Docker image containing all of these executables/libraries based on the existing images?
Docker and Composition
Relevant discussion: https://github.com/moby/moby/issues/3378
What Docker lacks is a good way of composing images. You can copy individual files or entire file systems from other images into your own using COPY --from=<image> <from-path> <to-path>. There is no builtin way of copying the environment variables from another image into your own.
That said, I have personally created a custom frontend/parser for Dockerfiles that adds an INCLUDE <image>-keyword. This copies the entire filesystem, along with the environment variables into your image:
DOCKER_BUILDKIT=1 docker build -t myimage .
#syntax=bergkvist/includeimage
FROM alpine:3.12.0
INCLUDE rust:1.44-alpine3.12
INCLUDE python:3.8.3-alpine3.12
nixpkgs.dockerTools
if you want truly composable Docker builds, I recommend checking out dockerTools in nixpkgs. This will also result in more reproducible (and typically very small) images. See https://nix.dev/tutorials/building-and-running-docker-images
docker load < $(nix-build docker-image.nix)
# docker-image.nix
let
pkgs = import <nixpkgs> {};
python = pkgs.python38;
rustc = pkgs.rustc;
in pkgs.dockerTools.buildImage {
name = "myimage";
tag = "latest";
contents = [ python rustc ];
}
Docker doesn't do merges of the images, but there isn't anything stopping you combining the dockerfiles if available, and rolling into them into a fat image which you'd need to build. There's times where this makes sense, however, as for running multiple processes in a container most Docker dogma will point to this as less desirable especially with microservice architecture (however rules are there to be broken right?)
You could not combine docker images into 1 container. See the detail discussions in Moby issue, How do I combine several images into one via Dockerfile.
For your case, it is better to not include the whole Cassandra and Kafka images. The application would only need the Cassandra Scala driver and Kafka Scala driver. The container should include the drivers only.
I needed docker:latest and python:latest images for Gitlab CI. Here is what I came up with:
FROM ubuntu:latest
RUN apt update
RUN apt install -y sudo
RUN sudo apt install -y docker.io
RUN sudo apt install -y python3-pip
RUN sudo apt install -y python3
RUN docker --version
RUN pip3 --version
RUN python3 --version
After I've build and pushed it to my Docker Hub repo:
docker build -t docker-hub-repo/image-name:latest path/to/Dockerfile
docker push docker-hub-repo/image-name:latest
Don't forget to docker login before push
Hope it helps