What is the difference between a Docker image and a container

Question

When using Docker  we start with a base image  We boot it up  create changes and those changes are saved in layers forming another image   So eventually I have an image for my PostgreSQL instance and an image for my web application  changes to which keep on being persisted   What is a container

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For a dummy programming analogy  you can think of Docker has a abstract ImageFactory which holds ImageFactories they come from store    Then once you want to create an app out of that ImageFactory  you will have a new container  and you can modify it as you want   DotNetImageFactory will be immutable  because it acts as a abstract factory class  where it only delivers instances you desire   IContainer newDotNetApp   ImageFactory DotNetImageFactory CreateNew appOptions   newDotNetApp ChangeDescription  I am making changes on this instance    newDotNetApp Run

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Image is an equivalent to a class definition in OOP and layers are different methods and properties of that class   Container is the actual instantiation of the image just like how an object is an instantiation or an instance of a class

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As many answers pointed this out  You build Dockerfile to get an image and you run image to get a container   However  following steps helped me get a better feel for what Docker image and container are   1  Build Dockerfile    docker build -t my image dir with dockerfile  2  Save the image to  tar file  docker save -o my file tar my image id  my file tar will store the image  Open it with tar -xvf my file tar  and you will get to see all the layers  If you dive deeper into each layer you can see what changes were added in each layer   They should be pretty close to commands in the Dockerfile    3  To take a look inside of a container  you can do   sudo docker run -it my image bash  and you can see that is very much like an OS

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Dockerfile  rarr   Build   rarr  Image  rarr   Run   rarr  Container    Dockerfile  contains a set of Docker instructions that provisions your operating system the way you like  and installs configure all your software  Image  compiled Dockerfile  Saves you time from rebuilding the Dockerfile every time you need to run a container  And it s a way to hide your provision code  Container  the virtual operating system itself  You can ssh into it and run any commands you wish  as if it s a real environment  You can run 1000  containers from the same Image

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A Docker image packs up the application and environment required by the application to run  and a container is a running instance of the image    Images are the packing part of Docker  analogous to  source code  or a  program   Containers are the execution part of Docker  analogous to a  process    In the question  only the  program  part is referred to and that s the image  The  running  part of Docker is the container  When a container is run and changes are made  it s as if the process makes a change in its own source code and saves it as the new image

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Workflow  Here is the end-to-end workflow showing the various commands and their associated inputs and outputs  That should clarify the relationship between an image and a container    ------------   docker build    --------------   docker run -dt    -----------   docker exec -it    ------    Dockerfile   -------------- gt       Image       --------------- gt     Container   ----------------- gt    Bash    ------------                   --------------                     -----------                      ------                                                                        docker pull                                                                    --------------                                     Registry                                     --------------    To list the images you could run  execute   docker image ls   To list the containers you could execute commands on   docker ps

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I would like to fill the missing part here between docker images and containers  Docker uses a union file system  UFS  for containers  which allows multiple filesystems to be mounted in a hierarchy and to appear as a single filesystem  The filesystem from the image has been mounted as a read-only layer  and any changes to the running container are made to a read-write layer mounted on top of this  Because of this  Docker only has to look at the topmost read-write layer to find the changes made to the running system

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Maybe explaining the whole workflow can help   Everything starts with the Dockerfile  The Dockerfile is the source code of the image   Once the Dockerfile is created  you build it to create the image of the container  The image is just the  compiled version  of the  source code  which is the Dockerfile   Once you have the image of the container  you should redistribute it using the registry  The registry is like a Git repository -- you can push and pull images   Next  you can use the image to run containers  A running container is very similar  in many aspects  to a virtual machine  but without the hypervisor

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While it s simplest to think of a container as a running image  this isn t quite accurate   An image is really a template that can be turned into a container  To turn an image into a container  the Docker engine takes the image  adds a read-write filesystem on top and initialises various settings including network ports  container name  ID and resource limits  A running container has a currently executing process  but a container can also be stopped  or exited in Docker s terminology   An exited container is not the same as an image  as it can be restarted and will retain its settings and any filesystem changes

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As in the programming aspect   Image is source code   When source code is compiled and build  it is called an application   Similar to that  when an instance is created for the image   it is called a  container

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I think it is better to explain at the beginning   Suppose you run the command docker run hello-world  What happens   It calls Docker CLI which is responsible to take Docker commands and transform to call Docker server commands  As soon as Docker server gets a command to run an image  it checks weather the images cache holds an image with such a name   Suppose hello-world do not exists  Docker server goes to Docker Hub  Docker Hub is just a free repository of images  and asks  hey Hub  do you have an image called hello-world  Hub responses - yes  I do  Then give it to me  please  And the download process starts  As soon as the Docker image is downloaded  the Docker server puts it in the image cache   So before we explain what Docker images and Docker containers are  let s start with an introduction about the operation system on your computer and how it runs software   When you run  for example  Chrome on your computer  it calls the operating system  the operating system itself calls the kernel and asks  hey I want to run this program  The kernel manages to run files from your hard disk   Now imagine that you have two programs  Chrome and Node js  Chrome requires Python version 2 to run and Node js requires Python version 3 to run  If you only have installed Python v2 on your computer  only Chrome will be run   To make both cases work  somehow you need to use an operating system feature known as namespacing  A namespace is a feature which gives you the opportunity to isolate processes  hard drive  network  users  hostnames and so on   So  when we talk about an image we actually talk about a file system snapshot  An image is a physical file which contains directions and metadata to build a specific container  The container itself is an instance of an image  it isolates the hard drive using namespacing which is available only for this container  So a container is a process or set of processes which groups different resources assigned to it

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An image is to a class as a container to an object   A container is an instance of an image as an object is an instance of a class

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In short   Container is a division  virtual  in a kernel which shares a common OS and runs an image  Docker image    A container is a self-sustainable application that will have packages and all the necessary dependencies together to run the code

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I would state it with the following analogy   ----------------------------- ------- -----------                Domain            Meta    Concrete     ----------------------------- ------- -----------    Docker                        Image   Container     Object oriented programming   Class   Object       ----------------------------- ------- -----------

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An instance of an image is called a container  You have an image  which is a set of layers as you describe  If you start this image  you have a running container of this image  You can have many running containers of the same image   You can see all your images with docker images whereas you can see your running containers with docker ps  and you can see all containers with docker ps -a    So a running instance of an image is a container

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Dockerfile is like your Bash script that produce a tarball  Docker image    Docker containers is like extracted version of the tarball  You can have as many copies as you like in different folders  the containers

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In docker  an image is an immutable file that holds the source code and information needed for a docker app to run  It can exist independent of a container   Docker containers are virtualized environments created during runtime and require images to run  The docker website has an image that kind of shows this relationship

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An image is the blueprint from which container s  running instances  are build

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It may help to think of an image as a  snapshot  of a container   You can make images from a container  new  snapshots    and you can also start new containers from an image  instantiate the  snapshot    For example  you can instantiate a new container from a base image  run some commands in the container  and then  snapshot  that as a new image  Then you can instantiate 100 containers from that new image   Other things to consider    An image is made of layers  and layers are snapshot  diffs   when you push an image  only the  diff  is sent to the registry  A Dockerfile defines some commands on top of a base image  that creates new layers   diffs   that result in a new image   snapshot    Containers are always instantiated from images  Image tags are not just tags  They are the image s  full name    repository tag    If the same image has multiple names  it shows multiple times when doing docker images

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From my article on Automating Docker Deployments   Docker Images vs  Containers  In Dockerland  there are images and there are containers  The two are closely related  but distinct  For me  grasping this dichotomy has clarified Docker immensely   What s an Image   An image is an inert  immutable  file that s essentially a snapshot of a container  Images are created with the build command  and they ll produce a container when started with run  Images are stored in a Docker registry such as registry hub docker com  Because they can become quite large  images are designed to be composed of layers of other images  allowing a minimal amount of data to be sent when transferring images over the network   Local images can be listed by running docker images   REPOSITORY                TAG                 IMAGE ID            CREATED             VIRTUAL SIZE ubuntu                    13 10               5e019ab7bf6d        2 months ago        180 MB ubuntu                    14 04               99ec81b80c55        2 months ago        266 MB ubuntu                    latest              99ec81b80c55        2 months ago        266 MB ubuntu                    trusty              99ec81b80c55        2 months ago        266 MB  lt none gt                      lt none gt               4ab0d9120985        3 months ago        486 5 MB   Some things to note    IMAGE ID is the first 12 characters of the true identifier for an image  You can create many tags of a given image  but their IDs will all be the same  as above   VIRTUAL SIZE is virtual because it s adding up the sizes of all the distinct underlying layers  This means that the sum of all the values in that column is probably much larger than the disk space used by all of those images  The value in the REPOSITORY column comes from the -t flag of the docker build command  or from docker tag-ing an existing image  You re free to tag images using a nomenclature that makes sense to you  but know that docker will use the tag as the registry location in a docker push or docker pull  The full form of a tag is  REGISTRYHOST   USERNAME  NAME  TAG   For ubuntu above  REGISTRYHOST is inferred to be registry hub docker com  So if you plan on storing your image called my-application in a registry at docker example com  you should tag that image docker example com my-application  The TAG column is just the   TAG  part of the full tag  This is unfortunate terminology  The latest tag is not magical  it s simply the default tag when you don t specify a tag  You can have untagged images only identifiable by their IMAGE IDs  These will get the  lt none gt  TAG and REPOSITORY  It s easy to forget about them    More information on images is available from the Docker documentation and glossary   What s a container   To use a programming metaphor  if an image is a class  then a container is an instance of a class   a runtime object  Containers are hopefully why you re using Docker  they re lightweight and portable encapsulations of an environment in which to run applications   View local running containers with docker ps   CONTAINER ID        IMAGE                               COMMAND                CREATED             STATUS              PORTS                    NAMES f2ff1af05450        samalba docker-registry latest       bin sh -c  exec doc   4 months ago        Up 12 weeks         0 0 0 0 5000- gt 5000 tcp   docker-registry   Here I m running a dockerized version of the docker registry  so that I have a private place to store my images  Again  some things to note    Like IMAGE ID  CONTAINER ID is the true identifier for the container  It has the same form  but it identifies a different kind of object  docker ps only outputs running containers  You can view all containers  running or stopped  with docker ps -a  NAMES can be used to identify a started container via the --name flag    How to avoid image and container buildup  One of my early frustrations with Docker was the seemingly constant buildup of untagged images and stopped containers  On a handful of occasions this buildup resulted in maxed out hard drives slowing down my laptop or halting my automated build pipeline  Talk about  containers everywhere    We can remove all untagged images by combining docker rmi with the recent dangling true query   docker images -q --filter  dangling true    xargs docker rmi  Docker won t be able to remove images that are behind existing containers  so you may have to remove stopped containers with docker rm first   docker rm  docker ps --no-trunc -aq    These are known pain points with Docker and may be addressed in future releases  However  with a clear understanding of images and containers  these situations can be avoided with a couple of practices    Always remove a useless  stopped container with docker rm  CONTAINER ID   Always remove the image behind a useless  stopped container with docker rmi  IMAGE ID

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I couldn t understand the concept of image and layer in spite of reading all the questions here and then eventually stumbled upon this excellent documentation from Docker  duh     The example there is really the key to understand the whole concept  It is a lengthy post  so I am summarising the key points that need to be really grasped to get clarity    Image  A Docker image is built up from a series of read-only layers Layer  Each layer represents an instruction in the image   s Dockerfile    Example  The below Dockerfile contains four commands  each of which creates a layer      FROM ubuntu 15 04      COPY    app      RUN make  app      CMD python  app app py   Importantly  each layer is only a set of differences from the layer before it    Container  When you create a new container  you add a new writable layer on top of the underlying layers  This layer is often called the    container layer     All changes made to the running container  such as writing new files  modifying existing files  and deleting files  are written to this thin writable container layer       Hence  the major difference between a container and an image is   the top writable layer  All writes to the container that add new or   modify existing data are stored in this writable layer  When the   container is deleted  the writable layer is also deleted  The   underlying image remains unchanged    Understanding images cnd Containers from a size-on-disk perspective  To view the approximate size of a running container  you can use the docker ps -s command  You get size and virtual size as two of the outputs    Size  the amount of data  on disk  that is used for the writable layer of each container Virtual Size  the amount of data used for the read-only image data used by the container  Multiple containers may share some or all read-only image data  Hence these are not additive  I e  you can t add all the virtual sizes to calculate how much size on disk is used by the image   Another important concept is the copy-on-write strategy  If a file or directory exists in a lower layer within the image  and another layer  including the writable layer  needs read access to it  it just uses the existing file  The first time another layer needs to modify the file  when building the image or running the container   the file is copied into that layer and modified   I hope that helps someone else like me

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In easy words  Images -  The file system and configuration read-only  application which is used to create containers  More detail   Containers -  The major difference between a container and an image is the top writable layer  Containers are running instances of Docker images with top writable layer  Containers run the actual applications  A container includes an application and all of its dependencies  When the container is deleted  the writable layer is also deleted  The underlying image remains unchanged  More detail    Other important terms to notice   Docker daemon -  The background service running on the host that manages the building  running and distributing Docker containers   Docker client -  The command line tool that allows the user to interact with the Docker daemon   Docker Store -  Store is  among other things  a registry of Docker images  You can think of the registry as a directory of all available Docker images   A picture from this blog post is worth a thousand words    For deeper understanding please read this   Summary   Pull image from Docker hub or build from a Dockerfile   gt  Gives a Docker image  not editable   Run the image  docker run image name tag name    gt  Gives a running Image i e  container  editable

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A Docker container is running an instance of an image  You can relate an image with a program and a container with a process

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The core concept of Docker is to make it easy to create  machines  which in this case can be considered containers  The container aids in reusability  allowing you to create and drop containers with ease   Images depict the state of a container at every point in time  So the basic workflow is    create an image start a container make changes to the container save the container back as an image

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Simply said  if an image is a class  then a container is an instance of a class is a runtime object

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A container is just an executable binary that is to be run by the host OS under a set of restrictions that are preset using an application  e g   Docker  that knows how to tell the OS which restrictions to apply  The typical restrictions are process-isolation related  security related  like using SELinux protection  and system-resource related  memory  disk  CPU  and networking   Until recently  only kernels in Unix-based systems supported the ability to run executables under strict restrictions  That s why most container talk today involves mostly Linux or other Unix distributions  Docker is one of those applications that knows how to tell the OS  Linux mostly  what restrictions to run an executable under  The executable is contained in the Docker image  which is just a tarfile  That executable is usually a stripped-down version of a Linux distribution s User space  Ubuntu  CentOS  Debian  etc   preconfigured to run one or more applications within  Though most people use a Linux base as the executable  it can be any other binary application as long as the host OS s kernel can run it  see creating a simple base image using scratch   Whether the binary in the Docker image is an OS User space or simply an application  to the OS host it is just another process  a contained process ruled by preset OS boundaries  Other applications that  like Docker  can tell the host OS which boundaries to apply to a process while it is running  include LXC  libvirt  and systemd  Docker used to use these applications to indirectly interact with the Linux OS  but now Docker interacts directly with Linux using its own library called  quot libcontainer quot   So containers are just processes running in a restricted mode  similar to what chroot used to do  IMO  what sets Docker apart from any other container technology is its repository  Docker Hub  and their management tools which makes working with containers extremely easy  See Docker  software

[docker] What is the difference between a Docker image and a container?

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