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Docker-DCO-1.1-Signed-off-by: SvenDowideit <SvenDowideit@home.org.au> (github: SvenDowideit)
245 lines
10 KiB
Markdown
245 lines
10 KiB
Markdown
page_title: FAQ
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page_description: Most frequently asked questions.
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page_keywords: faq, questions, documentation, docker
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# FAQ
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## Most frequently asked questions
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### How much does Docker cost?
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Docker is 100% free, it is open source, so you can use it without
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paying.
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### What open source license are you using?
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We are using the Apache License Version 2.0, see it here:
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[https://github.com/dotcloud/docker/blob/master/LICENSE](
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https://github.com/dotcloud/docker/blob/master/LICENSE)
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### Does Docker run on Mac OS X or Windows?
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Not at this time, Docker currently only runs on Linux, but you can use
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VirtualBox to run Docker in a virtual machine on your box, and get the
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best of both worlds. Check out the [*Mac OS X*](../installation/mac/#macosx)
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and [*Microsoft Windows*](../installation/windows/#windows) installation
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guides. The small Linux distribution boot2docker can be run inside virtual
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machines on these two operating systems.
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### How do containers compare to virtual machines?
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They are complementary. VMs are best used to allocate chunks of
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hardware resources. Containers operate at the process level, which
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makes them very lightweight and perfect as a unit of software
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delivery.
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### What does Docker add to just plain LXC?
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Docker is not a replacement for LXC. "LXC" refers to capabilities of
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the Linux kernel (specifically namespaces and control groups) which
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allow sandboxing processes from one another, and controlling their
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resource allocations. On top of this low-level foundation of kernel
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features, Docker offers a high-level tool with several powerful
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functionalities:
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- *Portable deployment across machines.*
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Docker defines a format for bundling an application and all
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its dependencies into a single object which can be transferred
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to any Docker-enabled machine, and executed there with the
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guarantee that the execution environment exposed to the
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application will be the same. LXC implements process
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sandboxing, which is an important pre-requisite for portable
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deployment, but that alone is not enough for portable
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deployment. If you sent me a copy of your application
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installed in a custom LXC configuration, it would almost
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certainly not run on my machine the way it does on yours,
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because it is tied to your machine's specific configuration:
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networking, storage, logging, distro, etc. Docker defines an
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abstraction for these machine-specific settings, so that the
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exact same Docker container can run - unchanged - on many
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different machines, with many different configurations.
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- *Application-centric.*
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Docker is optimized for the deployment of applications, as
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opposed to machines. This is reflected in its API, user
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interface, design philosophy and documentation. By contrast,
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the `lxc` helper scripts focus on
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containers as lightweight machines - basically servers that
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boot faster and need less RAM. We think there's more to
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containers than just that.
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- *Automatic build.*
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Docker includes [*a tool for developers to automatically
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assemble a container from their source
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code*](../reference/builder/#dockerbuilder), with full control
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over application dependencies, build tools, packaging etc.
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They are free to use `make`, `maven`, `chef`, `puppet`, `salt,`
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Debian packages, RPMs, source tarballs, or any combination of the
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above, regardless of the configuration of the machines.
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- *Versioning.*
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Docker includes git-like capabilities for tracking successive
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versions of a container, inspecting the diff between versions,
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committing new versions, rolling back etc. The history also
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includes how a container was assembled and by whom, so you get
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full traceability from the production server all the way back
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to the upstream developer. Docker also implements incremental
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uploads and downloads, similar to `git pull`, so new versions
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of a container can be transferred by only sending diffs.
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- *Component re-use.*
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Any container can be used as a [*"base image"*](
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../terms/image/#base-image-def) to create more specialized components.
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This can be done manually or as part of an automated build. For example
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you can prepare the ideal Python environment, and use it as a base for
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10 different applications. Your ideal Postgresql setup can be re-used for
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all your future projects. And so on.
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- *Sharing.*
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Docker has access to a [public registry](https://hub.docker.com) where
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thousands of people have uploaded useful containers: anything from Redis,
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CouchDB, Postgres to IRC bouncers to Rails app servers to Hadoop to
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base images for various Linux distros. The
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[*registry*](../reference/api/registry_index_spec/#registryindexspec)
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also includes an official "standard library" of useful
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containers maintained by the Docker team. The registry itself
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is open-source, so anyone can deploy their own registry to
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store and transfer private containers, for internal server
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deployments for example.
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- *Tool ecosystem.*
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Docker defines an API for automating and customizing the
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creation and deployment of containers. There are a huge number
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of tools integrating with Docker to extend its capabilities.
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PaaS-like deployment (Dokku, Deis, Flynn), multi-node
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orchestration (Maestro, Salt, Mesos, Openstack Nova),
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management dashboards (docker-ui, Openstack Horizon,
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Shipyard), configuration management (Chef, Puppet), continuous
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integration (Jenkins, Strider, Travis), etc. Docker is rapidly
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establishing itself as the standard for container-based
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tooling.
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### What is different between a Docker container and a VM?
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There's a great StackOverflow answer [showing the differences](
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http://stackoverflow.com/questions/16047306/how-is-docker-io-different-from-a-normal-virtual-machine).
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### Do I lose my data when the container exits?
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Not at all! Any data that your application writes to disk gets preserved
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in its container until you explicitly delete the container. The file
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system for the container persists even after the container halts.
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### How far do Docker containers scale?
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Some of the largest server farms in the world today are based on
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containers. Large web deployments like Google and Twitter, and platform
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providers such as Heroku and dotCloud all run on container technology,
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at a scale of hundreds of thousands or even millions of containers
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running in parallel.
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### How do I connect Docker containers?
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Currently the recommended way to link containers is via the link
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primitive. You can see details of how to [work with links
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here](/userguide/dockerlinks).
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Also of useful when enabling more flexible service portability is the
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[Ambassador linking pattern](/articles/ambassador_pattern_linking/).
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### How do I run more than one process in a Docker container?
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Any capable process supervisor such as [http://supervisord.org/](
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http://supervisord.org/), runit, s6, or daemontools can do the trick.
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Docker will start up the process management daemon which will then fork
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to run additional processes. As long as the processor manager daemon continues
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to run, the container will continue to as well. You can see a more substantial
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example [that uses supervisord here](/articles/using_supervisord/).
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### What platforms does Docker run on?
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Linux:
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- Ubuntu 12.04, 13.04 et al
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- Fedora 19/20+
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- RHEL 6.5+
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- Centos 6+
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- Gentoo
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- ArchLinux
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- openSUSE 12.3+
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- CRUX 3.0+
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Cloud:
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- Amazon EC2
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- Google Compute Engine
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- Rackspace
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### How do I report a security issue with Docker?
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You can learn about the project's security policy
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[here](https://www.docker.com/security/) and report security issues to
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this [mailbox](mailto:security@docker.com).
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### Why do I need to sign my commits to Docker with the DCO?
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Please read [our blog post](
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http://blog.docker.com/2014/01/docker-code-contributions-require-developer-certificate-of-origin/)
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on the introduction of the DCO.
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### When building an image, should I prefer system libraries or bundled ones?
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*This is a summary of a discussion on the [docker-dev mailing list](
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https://groups.google.com/forum/#!topic/docker-dev/L2RBSPDu1L0).*
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Virtually all programs depend on third-party libraries. Most frequently,
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they will use dynamic linking and some kind of package dependency, so
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that when multiple programs need the same library, it is installed only once.
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Some programs, however, will bundle their third-party libraries, because
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they rely on very specific versions of those libraries. For instance,
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Node.js bundles OpenSSL; MongoDB bundles V8 and Boost (among others).
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When creating a Docker image, is it better to use the bundled libraries,
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or should you build those programs so that they use the default system
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libraries instead?
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The key point about system libraries is not about saving disk or memory
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space. It is about security. All major distributions handle security
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seriously, by having dedicated security teams, following up closely
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with published vulnerabilities, and disclosing advisories themselves.
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(Look at the [Debian Security Information](https://www.debian.org/security/)
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for an example of those procedures.) Upstream developers, however,
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do not always implement similar practices.
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Before setting up a Docker image to compile a program from source,
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if you want to use bundled libraries, you should check if the upstream
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authors provide a convenient way to announce security vulnerabilities,
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and if they update their bundled libraries in a timely manner. If they
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don't, you are exposing yourself (and the users of your image) to
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security vulnerabilities.
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Likewise, before using packages built by others, you should check if the
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channels providing those packages implement similar security best practices.
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Downloading and installing an "all-in-one" .deb or .rpm sounds great at first,
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except if you have no way to figure out that it contains a copy of the
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OpenSSL library vulnerable to the [Heartbleed](http://heartbleed.com/) bug.
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### Can I help by adding some questions and answers?
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Definitely! You can fork [the repo](https://github.com/dotcloud/docker) and
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edit the documentation sources.
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### Where can I find more answers?
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You can find more answers on:
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- [Docker user mailinglist](https://groups.google.com/d/forum/docker-user)
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- [Docker developer mailinglist](https://groups.google.com/d/forum/docker-dev)
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- [IRC, docker on freenode](irc://chat.freenode.net#docker)
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- [GitHub](https://github.com/dotcloud/docker)
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- [Ask questions on Stackoverflow](http://stackoverflow.com/search?q=docker)
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- [Join the conversation on Twitter](http://twitter.com/docker)
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Looking for something else to read? Checkout the [User
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Guide](/userguide/).
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