Remove some temp-files (#5382)

Signed-off-by: Sebastiaan van Stijn <github@gone.nl>
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Sebastiaan van Stijn authored and Misty Stanley-Jones committed 2017-11-27 16:49:51 -08:00
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page_title: FAQ
page_description: Most frequently asked questions.
page_keywords: faq, questions, documentation, docker
# FAQ
## Most frequently asked questions
### How much does Docker cost?
Docker is 100% free. It is open source, so you can use it without
paying.
### What open source license are you using?
We are using the Apache License Version 2.0, see it here:
[https://github.com/docker/docker/blob/master/LICENSE](
https://github.com/docker/docker/blob/master/LICENSE)
### Does Docker run on Mac OS X or Windows?
Docker currently runs only on Linux, but you can use VirtualBox to run
Docker in a virtual machine on your box, and get the best of both worlds.
Check out the [*Mac OS X*](../installation/mac/#macosx) and [*Microsoft
Windows*](../installation/windows/#windows) installation guides. The small
Linux distribution boot2docker can be run inside virtual machines on these
two operating systems.
{{ include "no-remote-sudo.md" }}
### How do containers compare to virtual machines?
They are complementary. VMs are best used to allocate chunks of
hardware resources. Containers operate at the process level, which
makes them very lightweight and perfect as a unit of software
delivery.
### What does Docker add to just plain LXC?
Docker is not a replacement for LXC. "LXC" refers to capabilities of
the Linux kernel (specifically namespaces and control groups) which
allow sandboxing processes from one another, and controlling their
resource allocations. On top of this low-level foundation of kernel
features, Docker offers a high-level tool with several powerful
functionalities:
- *Portable deployment across machines.*
Docker defines a format for bundling an application and all
its dependencies into a single object which can be transferred
to any Docker-enabled machine, and executed there with the
guarantee that the execution environment exposed to the
application will be the same. LXC implements process
sandboxing, which is an important pre-requisite for portable
deployment, but that alone is not enough for portable
deployment. If you sent me a copy of your application
installed in a custom LXC configuration, it would almost
certainly not run on my machine the way it does on yours,
because it is tied to your machine's specific configuration:
networking, storage, logging, distro, etc. Docker defines an
abstraction for these machine-specific settings, so that the
exact same Docker container can run - unchanged - on many
different machines, with many different configurations.
- *Application-centric.*
Docker is optimized for the deployment of applications, as
opposed to machines. This is reflected in its API, user
interface, design philosophy and documentation. By contrast,
the `lxc` helper scripts focus on
containers as lightweight machines - basically servers that
boot faster and need less RAM. We think there's more to
containers than just that.
- *Automatic build.*
Docker includes [*a tool for developers to automatically
assemble a container from their source
code*](../reference/builder/#dockerbuilder), with full control
over application dependencies, build tools, packaging etc.
They are free to use `make`, `maven`, `chef`, `puppet`, `salt,`
Debian packages, RPMs, source tarballs, or any combination of the
above, regardless of the configuration of the machines.
- *Versioning.*
Docker includes git-like capabilities for tracking successive
versions of a container, inspecting the diff between versions,
committing new versions, rolling back etc. The history also
includes how a container was assembled and by whom, so you get
full traceability from the production server all the way back
to the upstream developer. Docker also implements incremental
uploads and downloads, similar to `git pull`, so new versions
of a container can be transferred by only sending diffs.
- *Component re-use.*
Any container can be used as a [*"base image"*](
../terms/image/#base-image-def) to create more specialized components.
This can be done manually or as part of an automated build. For example
you can prepare the ideal Python environment, and use it as a base for
10 different applications. Your ideal Postgresql setup can be re-used for
all your future projects. And so on.
- *Sharing.*
Docker has access to a [public registry](https://hub.docker.com) where
thousands of people have uploaded useful containers: anything from Redis,
CouchDB, Postgres to IRC bouncers to Rails app servers to Hadoop to
base images for various Linux distros. The
[*registry*](../reference/api/registry_index_spec/#registryindexspec)
also includes an official "standard library" of useful
containers maintained by the Docker team. The registry itself
is open-source, so anyone can deploy their own registry to
store and transfer private containers, for internal server
deployments for example.
- *Tool ecosystem.*
Docker defines an API for automating and customizing the
creation and deployment of containers. There are a huge number
of tools integrating with Docker to extend its capabilities.
PaaS-like deployment (Dokku, Deis, Flynn), multi-node
orchestration (Maestro, Salt, Mesos, Openstack Nova),
management dashboards (docker-ui, Openstack Horizon,
Shipyard), configuration management (Chef, Puppet), continuous
integration (Jenkins, Strider, Travis), etc. Docker is rapidly
establishing itself as the standard for container-based
tooling.
### What is different between a Docker container and a VM?
There's a great StackOverflow answer [showing the differences](
http://stackoverflow.com/questions/16047306/how-is-docker-io-different-from-a-normal-virtual-machine).
### Do I lose my data when the container exits?
Not at all! Any data that your application writes to disk gets preserved
in its container until you explicitly delete the container. The file
system for the container persists even after the container halts.
### How far do Docker containers scale?
Some of the largest server farms in the world today are based on
containers. Large web deployments like Google and Twitter, and platform
providers such as Heroku and dotCloud all run on container technology,
at a scale of hundreds of thousands or even millions of containers
running in parallel.
### How do I connect Docker containers?
Currently the recommended way to link containers is via the link
primitive. You can see details of how to [work with links
here](/userguide/dockerlinks).
Also useful for more flexible service portability is the
[Ambassador linking pattern](/articles/ambassador_pattern_linking/).
### How do I run more than one process in a Docker container?
Any capable process supervisor such as [http://supervisord.org/](
http://supervisord.org/), runit, s6, or daemontools can do the trick.
Docker will start up the process management daemon which will then fork
to run additional processes. As long as the processor manager daemon continues
to run, the container will continue to as well. You can see a more substantial
example [that uses supervisord here](/articles/using_supervisord/).
### What platforms does Docker run on?
Linux:
- Ubuntu 12.04, 13.04 et al
- Fedora 19/20+
- RHEL 6.5+
- Centos 6+
- Gentoo
- ArchLinux
- openSUSE 12.3+
- CRUX 3.0+
Cloud:
- Amazon EC2
- Google Compute Engine
- Rackspace
### How do I report a security issue with Docker?
You can learn about the project's security policy
[here](https://www.docker.com/security/) and report security issues to
this [mailbox](mailto:security@docker.com).
### Why do I need to sign my commits to Docker with the DCO?
Please read [our blog post](
http://blog.docker.com/2014/01/docker-code-contributions-require-developer-certificate-of-origin/)
on the introduction of the DCO.
### When building an image, should I prefer system libraries or bundled ones?
*This is a summary of a discussion on the [docker-dev mailing list](
https://groups.google.com/forum/#!topic/docker-dev/L2RBSPDu1L0).*
Virtually all programs depend on third-party libraries. Most frequently,
they will use dynamic linking and some kind of package dependency, so
that when multiple programs need the same library, it is installed only once.
Some programs, however, will bundle their third-party libraries, because
they rely on very specific versions of those libraries. For instance,
Node.js bundles OpenSSL; MongoDB bundles V8 and Boost (among others).
When creating a Docker image, is it better to use the bundled libraries,
or should you build those programs so that they use the default system
libraries instead?
The key point about system libraries is not about saving disk or memory
space. It is about security. All major distributions handle security
seriously, by having dedicated security teams, following up closely
with published vulnerabilities, and disclosing advisories themselves.
(Look at the [Debian Security Information](https://www.debian.org/security/)
for an example of those procedures.) Upstream developers, however,
do not always implement similar practices.
Before setting up a Docker image to compile a program from source,
if you want to use bundled libraries, you should check if the upstream
authors provide a convenient way to announce security vulnerabilities,
and if they update their bundled libraries in a timely manner. If they
don't, you are exposing yourself (and the users of your image) to
security vulnerabilities.
Likewise, before using packages built by others, you should check if the
channels providing those packages implement similar security best practices.
Downloading and installing an "all-in-one" .deb or .rpm sounds great at first,
except if you have no way to figure out that it contains a copy of the
OpenSSL library vulnerable to the [Heartbleed](http://heartbleed.com/) bug.
### Why is `DEBIAN_FRONTEND=noninteractive` discouraged in Dockerfiles?
When building Docker images on Debian and Ubuntu you may have seen errors like:
unable to initialize frontend: Dialog
These errors don't stop the image from being built but inform you that the
installation process tried to open a dialog box, but was unable to.
Generally, these errors are safe to ignore.
Some people circumvent these errors by changing the `DEBIAN_FRONTEND`
environment variable inside the Dockerfile using:
ENV DEBIAN_FRONTEND=noninteractive
This prevents the installer from opening dialog boxes during installation
which stops the errors.
While this may sound like a good idea, it *may* have side effects.
The `DEBIAN_FRONTEND` environment variable will be inherited by all
images and containers built from your image, effectively changing
their behavior. People using those images will run into problems when
installing software interactively, because installers will not show
any dialog boxes.
Because of this, and because setting `DEBIAN_FRONTEND` to `noninteractive` is
mainly a 'cosmetic' change, we *discourage* changing it.
If you *really* need to change its setting, make sure to change it
back to its [default value](https://www.debian.org/releases/stable/i386/ch05s03.html.en)
afterwards.
### Can I help by adding some questions and answers?
Definitely! You can fork [the repo](https://github.com/docker/docker) and
edit the documentation sources.
### Where can I find more answers?
You can find more answers on:
- [Docker user mailinglist](https://groups.google.com/d/forum/docker-user)
- [Docker developer mailinglist](https://groups.google.com/d/forum/docker-dev)
- [IRC, docker on freenode](irc://chat.freenode.net#docker)
- [GitHub](https://github.com/docker/docker)
- [Ask questions on Stackoverflow](http://stackoverflow.com/search?q=docker)
- [Join the conversation on Twitter](http://twitter.com/docker)
Looking for something else to read? Checkout the [User
Guide](/userguide/).
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page_title: Installation on Mac OS X
page_description: Instructions for installing Docker on OS X using boot2docker.
page_keywords: Docker, Docker documentation, requirements, boot2docker, VirtualBox, SSH, Linux, OSX, OS X, Mac
# Installing Docker on Mac OS X
> **Note:**
> Docker is supported on Mac OS X 10.6 "Snow Leopard" or newer.
Because the Docker Engine uses Linux-specific kernel features, you'll need to use a
lightweight virtual machine (VM) to run it on OS X. You use the OS X Docker client to
control the virtualized Docker Engine to build, run, and manage Docker containers.
To make this process easier, we've built a helper application called
[Boot2Docker](https://github.com/boot2docker/boot2docker) that installs a
virtual machine (using VirtualBox) that's all set up to run the Docker daemon.
## Demonstration
<iframe width="640" height="360" src="//www.youtube.com/embed/wQsrKX4588U?rel=0" frameborder="0" allowfullscreen></iframe>
## Installation
1. Download the latest release of the [Docker for OS X Installer](
https://github.com/boot2docker/osx-installer/releases/latest) (Look for the
green Boot2Docker-x.x.x.pkg button near the bottom of the page.)
2. Run the installer by double-clicking the downloaded package, which will install a
VirtualBox VM, Docker itself, and the Boot2Docker management tool.
![](/installation/images/osx-installer.png)
3. Locate the `Boot2Docker` app in your `Applications` folder and run it.
Or, you can initialize Boot2Docker from the command line by running:
$ boot2docker init
$ boot2docker start
$ $(boot2docker shellinit)
A terminal window will open and you'll see the virtual machine starting up.
Once you have an initialized virtual machine, you can control it with `boot2docker stop`
and `boot2docker start`.
> **Note:**
> If you see a message in the terminal that looks something like this:
>
> `To connect the Docker client to the Docker daemon, please set: export
DOCKER_HOST=tcp://192.168.59.103:2375`
>
you can safely set the environment variable as instructed.
View the
[Boot2Docker ReadMe](https://github.com/boot2docker/boot2docker/blob/master/README.md)
for more information.
## Upgrading
1. Download the latest release of the [Docker for OS X Installer](
https://github.com/boot2docker/osx-installer/releases/latest)
2. If Boot2Docker is currently running, stop it with `boot2docker stop`. Then, run
the installer package, which will update Docker and the Boot2Docker management tool.
3. To complete the upgrade, you also need to update your existing virtual machine. Open a
terminal window and run:
$ boot2docker stop
$ boot2docker download
$ boot2docker start
This will download an .iso image containing a fresh VM and start it up. Your upgrade is
complete. You can test it by following the directions below.
## Running Docker
{{ include "no-remote-sudo.md" }}
From your terminal, you can test that Docker is running with our small `hello-world`
example image:
Start the vm (`boot2docker start`) and then run:
$ docker run hello-world
This should download the `hello-world` image, which then creates a small
container with an executable that prints a brief `Hello from Docker.` message.
## Container port redirection
The latest version of `boot2docker` sets up a host-only network adaptor which provides
access to the container's ports.
If you run a container with an exposed port,
$ docker run --rm -i -t -p 80:80 nginx
then you should be able to access that Nginx server using the IP address reported by:
$ boot2docker ip
Typically, it is 192.168.59.103:2375, but VirtualBox's DHCP implementation might change
this address in the future.
# Further details
If you are curious, the username for the boot2docker default user is `docker` and the
password is `tcuser`.
The Boot2Docker management tool provides several additional commands for working with the
VM and Docker:
$ ./boot2docker
Usage: ./boot2docker [<options>]
{help|init|up|ssh|save|down|poweroff|reset|restart|config|status|info|ip|delete|download|version} [<args>]
Continue with the [User Guide](/userguide/).
For further information or to report issues, please visit the [Boot2Docker site](http://boot2docker.io).
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page_title: Installation on Windows
page_description: Docker installation on Microsoft Windows
page_keywords: Docker, Docker documentation, Windows, requirements, virtualbox, boot2docker
# Windows
> **Note:**
> Docker has been tested on Windows 7.1 and 8; it may also run on older versions.
> Your processor needs to support hardware virtualization.
The Docker Engine uses Linux-specific kernel features, so to run it on Windows
we need to use a lightweight virtual machine (vm). You use the Windows Docker client to
control the virtualized Docker Engine to build, run, and manage Docker containers.
To make this process easier, we've designed a helper application called
[Boot2Docker](https://github.com/boot2docker/boot2docker) that installs the
virtual machine and runs the Docker daemon.
## Demonstration
<iframe width="640" height="480" src="//www.youtube.com/embed/oSHN8_uiZd4?rel=0" frameborder="0" allowfullscreen></iframe>
## Installation
1. Download the latest release of the [Docker for Windows Installer](https://github.com/boot2docker/windows-installer/releases/latest)
2. Run the installer, which will install VirtualBox, MSYS-git, the boot2docker Linux ISO,
and the Boot2Docker management tool.
![](/installation/images/windows-installer.png)
3. Run the `Boot2Docker Start` shell script from your Desktop or Program Files > Boot2Docker for Windows.
The Start script will ask you to enter an ssh key passphrase - the simplest
(but least secure) is to just hit [Enter].
![](/installation/images/windows-boot2docker-start.png)
The `Boot2Docker Start` script will connect you to a shell session in the virtual
machine. If needed, it will initialize a new VM and start it.
## Upgrading
1. Download the latest release of the [Docker for Windows Installer](
https://github.com/boot2docker/windows-installer/releases/latest)
2. Run the installer, which will update the Boot2Docker management tool.
3. To upgrade your existing virtual machine, open a terminal and run:
boot2docker stop
boot2docker download
boot2docker start
## Running Docker
{{ include "no-remote-sudo.md" }}
Boot2Docker will log you in automatically so you can start using Docker right away.
Let's try the `hello-world` example image. Run
$ docker run hello-world
This should download the very small `hello-world` image and print a `Hello from Docker.` message.
## Login with PUTTY instead of using the CMD
Boot2Docker generates and uses the public/private key pair in your `%HOMEPATH%\.ssh`
directory so to log in you need to use the private key from this same directory.
The private key needs to be converted into the format PuTTY uses.
You can do this with
[puttygen](http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html):
- Open `puttygen.exe` and load ("File"->"Load" menu) the private key from
`%HOMEPATH%\.ssh\id_boot2docker`
- then click: "Save Private Key".
- Then use the saved file to login with PuTTY using `docker@127.0.0.1:2022`.
# Further Details
The Boot2Docker management tool provides several commands:
$ ./boot2docker
Usage: ./boot2docker [<options>] {help|init|up|ssh|save|down|poweroff|reset|restart|config|status|info|ip|delete|download|version} [<args>]
## Container port redirection
If you are curious, the username for the boot2docker default user is `docker` and the password is `tcuser`.
The latest version of `boot2docker` sets up a host only network adaptor which provides access to the container's ports.
If you run a container with an exposed port:
docker run --rm -i -t -p 80:80 nginx
Then you should be able to access that nginx server using the IP address reported
to you using:
boot2docker ip
Typically, it is 192.168.59.103, but it could get changed by Virtualbox's DHCP
implementation.
For further information or to report issues, please see the [Boot2Docker site](http://boot2docker.io)
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page_title: Dockerizing Applications: A "Hello world"
page_description: A simple "Hello world" exercise that introduced you to Docker.
page_keywords: docker guide, docker, docker platform, virtualization framework, how to, dockerize, dockerizing apps, dockerizing applications, container, containers
# Dockerizing Applications: A "Hello world"
*So what's this Docker thing all about?*
Docker allows you to run applications inside containers. Running an
application inside a container takes a single command: `docker run`.
{{ include "no-remote-sudo.md" }}
## Hello world
Let's try it now.
$ sudo docker run ubuntu:14.04 /bin/echo 'Hello world'
Hello world
And you just launched your first container!
So what just happened? Let's step through what the `docker run` command
did.
First we specified the `docker` binary and the command we wanted to
execute, `run`. The `docker run` combination *runs* containers.
Next we specified an image: `ubuntu:14.04`. This is the source of the container
we ran. Docker calls this an image. In this case we used an Ubuntu 14.04
operating system image.
When you specify an image, Docker looks first for the image on your
Docker host. If it can't find it then it downloads the image from the public
image registry: [Docker Hub](https://hub.docker.com).
Next we told Docker what command to run inside our new container:
/bin/echo 'Hello world'
When our container was launched Docker created a new Ubuntu 14.04
environment and then executed the `/bin/echo` command inside it. We saw
the result on the command line:
Hello world
So what happened to our container after that? Well Docker containers
only run as long as the command you specify is active. Here, as soon as
`Hello world` was echoed, the container stopped.
## An Interactive Container
Let's try the `docker run` command again, this time specifying a new
command to run in our container.
$ sudo docker run -t -i ubuntu:14.04 /bin/bash
root@af8bae53bdd3:/#
Here we've again specified the `docker run` command and launched an
`ubuntu:14.04` image. But we've also passed in two flags: `-t` and `-i`.
The `-t` flag assigns a pseudo-tty or terminal inside our new container
and the `-i` flag allows us to make an interactive connection by
grabbing the standard in (`STDIN`) of the container.
We've also specified a new command for our container to run:
`/bin/bash`. This will launch a Bash shell inside our container.
So now when our container is launched we can see that we've got a
command prompt inside it:
root@af8bae53bdd3:/#
Let's try running some commands inside our container:
root@af8bae53bdd3:/# pwd
/
root@af8bae53bdd3:/# ls
bin boot dev etc home lib lib64 media mnt opt proc root run sbin srv sys tmp usr var
You can see we've run the `pwd` to show our current directory and can
see we're in the `/` root directory. We've also done a directory listing
of the root directory which shows us what looks like a typical Linux
file system.
You can play around inside this container and when you're done you can
use the `exit` command or enter Ctrl-D to finish.
root@af8bae53bdd3:/# exit
As with our previous container, once the Bash shell process has
finished, the container is stopped.
## A Daemonized Hello world
Now a container that runs a command and then exits has some uses but
it's not overly helpful. Let's create a container that runs as a daemon,
like most of the applications we're probably going to run with Docker.
Again we can do this with the `docker run` command:
$ sudo docker run -d ubuntu:14.04 /bin/sh -c "while true; do echo hello world; sleep 1; done"
1e5535038e285177d5214659a068137486f96ee5c2e85a4ac52dc83f2ebe4147
Wait what? Where's our "Hello world" Let's look at what we've run here.
It should look pretty familiar. We ran `docker run` but this time we
specified a flag: `-d`. The `-d` flag tells Docker to run the container
and put it in the background, to daemonize it.
We also specified the same image: `ubuntu:14.04`.
Finally, we specified a command to run:
/bin/sh -c "while true; do echo hello world; sleep 1; done"
This is the (hello) world's silliest daemon: a shell script that echoes
`hello world` forever.
So why aren't we seeing any `hello world`'s? Instead Docker has returned
a really long string:
1e5535038e285177d5214659a068137486f96ee5c2e85a4ac52dc83f2ebe4147
This really long string is called a *container ID*. It uniquely
identifies a container so we can work with it.
> **Note:**
> The container ID is a bit long and unwieldy and a bit later
> on we'll see a shorter ID and some ways to name our containers to make
> working with them easier.
We can use this container ID to see what's happening with our `hello world` daemon.
Firstly let's make sure our container is running. We can
do that with the `docker ps` command. The `docker ps` command queries
the Docker daemon for information about all the containers it knows
about.
$ sudo docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
1e5535038e28 ubuntu:14.04 /bin/sh -c 'while tr 2 minutes ago Up 1 minute insane_babbage
Here we can see our daemonized container. The `docker ps` has returned some useful
information about it, starting with a shorter variant of its container ID:
`1e5535038e28`.
We can also see the image we used to build it, `ubuntu:14.04`, the command it
is running, its status and an automatically assigned name,
`insane_babbage`.
> **Note:**
> Docker automatically names any containers you start, a
> little later on we'll see how you can specify your own names.
Okay, so we now know it's running. But is it doing what we asked it to do? To see this
we're going to look inside the container using the `docker logs`
command. Let's use the container name Docker assigned.
$ sudo docker logs insane_babbage
hello world
hello world
hello world
. . .
The `docker logs` command looks inside the container and returns its standard
output: in this case the output of our command `hello world`.
Awesome! Our daemon is working and we've just created our first
Dockerized application!
Now we've established we can create our own containers let's tidy up
after ourselves and stop our daemonized container. To do this we use the
`docker stop` command.
$ sudo docker stop insane_babbage
insane_babbage
The `docker stop` command tells Docker to politely stop the running
container. If it succeeds it will return the name of the container it
has just stopped.
Let's check it worked with the `docker ps` command.
$ sudo docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
Excellent. Our container has been stopped.
# Next steps
Now we've seen how simple it is to get started with Docker let's learn how to
do some more advanced tasks.
Go to [Working With Containers](/userguide/usingdocker).