A docker image is actually a linked list of filesystem layers. Each instruction in a Dockerfile creates a filesystem layer that describes the differences in the filesystem before and after execution of the corresponding instruction. The docker inspect subcommand can be used on a docker image to reveal its nature of being a linked list of filesystem layers.
Docker's EXPOSE documentation addresses this specific point:
The EXPOSE instruction does not actually publish the port. It
functions as a type of documentation between the person who builds the
image and the person who runs the container, about which ports are
intended to be published. To actually publish the port when running
the container, use ...
PHP with nginx is usually done using php-fpm which is a separate processus.
Keeping the core idea of docker of one process (see end of answer for more details on this point) per container this makes sense to have the nginx process and php-fpm process in separate containers.
As the communication between nginx and php-fpm arise through fastcgi the php-fpm ...
As stated in the documentation, VOLUME instruction inherits the directory content and permissions existing in the container, so you can workaround the problem with a dockerfile like this:
RUN useradd -d /home/ubuntu -ms /bin/bash -g root -G sudo -p ubuntu ubuntu
RUN mkdir /opt/myvolume && chown ubuntu /opt/myvolume
mkdir dir && cd dir && wget http://google.com && rm -rf dir doesn't do what you think it does.
Let's break it down:
mkdir dir creates dir.
cd dir changes directory into it.
wget http://google.com downloads google.com inside dir/.
rm -rf dir attempts to delete a directory called dir that's in the current directory.
The problem is ...
Each instruction you create in your Dockerfile results in a new image layer being created. Each layer brings additional data that are not always part of the resulting image. For example, if you add a file in one layer, but remove it in another layer later, the final image’s size will include the added file size in a form of a special "whiteout" file although ...
Thanks to the people here, the solution is quite simple (but not obvious):
My GNU/Linux container host has SELinux activated, and that's why I was having permissions problems. The solution is to simply append a :z to the podman run volume argument so that this:
podman run -it -v /host/foobar:/src_dir /bin/bash
podman run -it -v /host/foobar:...
Convert the zip file into a gz file before running docker build, possibly in a wrapper script.
Or even go one step further, and extract the archive first, then use COPY to copy the resulting folder contents.
When you are using archives from the internet on the other hand, ADD http://somewhere/file.gz /data will extract the downloaded file directly into ...
If one uses a Dockerfile then a colleague could also understand what happened (documentation as code). If one runs a container, enters it, runs commits then it would be hard to understand what packages were installed. Especially after a couple of months.
Recent Dockerfile spec allows for multiple FROM statements.
Using this approach, you can retain your compilation results to a pure runtime environment.
Building on Xiong Chiamiov's answer, which correctly identified the root cause of the problem - the dir reference by relative path when attempting to empty or delete that directory depends on the working directory at the time, which was not correctly set in the cases mentioned in the OP.
So there are 2 solutions available:
set the proper working dir prior ...
There is no meaningful benefit that outweighs having to manage two containers. As long as you have a 1:1 relationship between the processes and they serve a single purpose, put them in the same container.
You can get to know if your site is up and running in the following way,
Map both the ports of inside container to the host using -p option and try to curl localhost:port
Run your container with the following command,
docker run -d --name website -p 80:80 -p 22:22 mob
Explanation:- -p host_port:container's_port
Now, curl localhost:80 or ...
The RUN statements represent each one layer. Imagine that one downloads a package, installs it and would like to remove it. If one uses three RUN statements then the image size will not shrink as there are separate layers. If one runs all the commands using one RUN statement the disk image size could be reduced.
Generally speaking, you want to:
Combine multiple related actions/files into a single layer so you don't have tons of layers.
Separate out unrelated actions/files which are likely to change independently.
Order layers such that those least likely to change occur first in the file.
Use multi stage builds to clean up if you have lots of garbage in your image/...
Something like puppet would help automate and configure the Docker Container. CMS is configuration/provisioning and Docker is like you said a virtualization platform. You're trying to compare two completely different things. Here is an article on how to configure puppet with docker, sometimes an example helps. https://puppet.com/blog/building-docker-...
Actually, one missing point here is the horizontal scalability. There's an article from Jamie Alquiza long time ago addressed this:
In short, you scale your php-fpm horizontally for reaching higher performance. Scaling Nginx+php-fpm together does not bring you any benefit. I encourage you do some stress testing (e.g. Tsung, Gatling, ...
Yes, you are doing the correct approach. Or rather, "a" correct approach, in your specific circumstance.
You are proposing to build the image beforehand, not as part of each individual Jenkins job. Then your Jenkins job will consist of running the image; and in that ephemeral state (i.e., inside the container) you are checking out the test script, and ...
No need to change the Dockerfile. Just define a certain user, e.g. jenkins and a certain uid, e.g. 1000 and ensure the same uid is used when a folder is mounted.
# Jenkins is run with user `jenkins`, uid = 1000
# If you bind mount a volume from the host or a data container,
# ensure you use the same uid
RUN mkdir -p $...
I had a similar problem, this worked for me:
Write Docker file with:
# Create app layer:
# Create app user & group "testuser" with IDs:
RUN groupadd -r testuser --gid 1234 && useradd -d /home/testuser -ms /bin/bash -r -g testuser testuser --uid 1234
# Create "testuser" working dir:
# Make working dir known ...
Yes, one would usually have minimal docker images, i.e., one responsibility per image/container, with appropriate networking between them.
Yes, images are linear, there is only ever one unbroken line of FROMs. To merge two images, get the two Dockerfiles and see what they are doing; it should be pretty self explanatory. Then you can either craft a single new ...
This is done for automation sake. You can have a universal command that runs docker run -P to start a container and the Dockerfile itself is used to specify which container exposes which port. In case you are dealing with dozens or hundreds of containers being built through a pipeline, this is quite useful. Passing external details not contained in ...
The "official" nginx image has a specific path where it looks for files. You can either copy a file into the image by creating a new image from it or mount your files into this path as a volume.
To copy files, have a folder with your index.html and a Dockerfile that looks like this:
COPY index.html /usr/share/nginx/html
Then build a new ...
Docker on MacOS runs on a virtual machine (docker-machine), and it's known that docker-machine volume mounts may perform worse than what you'd expect. It becomes worse especially when it comes operations concerning lots of small files, like scanning the filesystem.
Official Docker documentation also mentions this, and suggests some workarounds by lowering ...
The ENV keyword will be translated to export command (builin of the shell usually), if you remove the multi-line declaration you end up with this equivalent:
export A=123 B=$A
What happens here is that when the shell parse the line to give it to export input, A is not yet exported and available as an environment variable.
Step by step this will give:
Check the image history of your two images with docker image history. Pay careful attention to the sha256 checksum of the files being added on the ADD line. Docker performs a checksum on the files, including some of the metadata on these files, so a single byte change or a permission update will result in a cache miss.
Once you've checked this, if it is not ...
In the Dockerfile, the RUN step is performed during the docker build process. The operating system is shared with the host (containers != VMs). The filesystem and rest of the configuration used to define the temporary container is based on the state of the image resulting from the previous step. Each step in the Dockerfile extends the image with additional ...
VOLUME instruction and -v dest are used to create unnamed/anonymous volumes, -v scr:dest option is for mapped volume.
Dockerfile's VOLUME does not allow you to specify a host path.
On the host-side, the volumes are created with a very long ID-like name, these volumes are often referred to as unnamed/anonymous volumes.
Those images are the docker build cache. You need this to be able to quickly rebuild similar images, and to avoid rebuilding unchanged layers which would result in resending those to remote registry servers and forcing servers to download those unchanged layers again. One important point on these layers:
They do not consume any significant disk space