Install Image Docker

2/12/2022by admin
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To see a list of built-in images, run the Azure CLI command, 'az webapp list-runtimes -linux'. If those images don't satisfy your needs, you can build and deploy a custom image. In this tutorial, you learn how to: Push a custom Docker image to Azure Container Registry. Deploy the custom image to App Service.

  • Docker uses containers to create virtual environments that isolate a TensorFlow installation from the rest of the system. TensorFlow programs are run within this virtual environment that can share resources with its host machine (access directories, use the GPU, connect to the Internet, etc.). The TensorFlow Docker images are tested for.
  • Install Docker on Linux No matter your distribution of choice, you’ll need a 64-bit installation and a kernel at 3.10 or newer. Kernels older than 3.10 do not have the necessary features Docker requires to run containers; data loss and kernel panics occur frequently under certain conditions.
  • Install with Docker. Docker is a container-based software framework for automating deployment of applications. Our Docker image is a single container based application designed to have Zammad up and running fast for testing purposes. Please note that this is a non persistent storage container and all Zammad data is lost when you’re stopping.
Docker install ubuntu image

Elasticsearch is also available as Docker images.The images use centos:8 as the base image.

A list of all published Docker images and tags is available The source filesare inGithub.

This package contains both free and subscription features.Start a 30-day trial to try out all of the features.

Obtaining Elasticsearch for Docker is as simple as issuing a docker pull commandagainst the Elastic Docker registry.

Install Docker Image In Kubernetes

To start a single-node Elasticsearch cluster for development or testing, specifysingle-node discovery to bypass the bootstrap checks:

Starting a multi-node cluster with Docker Composeedit

To get a three-node Elasticsearch cluster up and running in Docker,you can use Docker Compose:

This sample docker-compose.yml file uses the ES_JAVA_OPTSenvironment variable to manually set the heap size to 512MB. We do not recommendusing ES_JAVA_OPTS in production. See Manually set the heap size.

This sample Docker Compose file brings up a three-node Elasticsearch cluster.Node es01 listens on localhost:9200 and es02 and es03 talk to es01 over a Docker network.

Please note that this configuration exposes port 9200 on all network interfaces, and given howDocker manipulates iptables on Linux, this means that your Elasticsearch cluster is publically accessible,potentially ignoring any firewall settings. If you don’t want to expose port 9200 and instead usea reverse proxy, replace 9200:9200 with in the docker-compose.yml file.Elasticsearch will then only be accessible from the host machine itself.


The Docker named volumesdata01, data02, and data03 store the node data directories so the data persists across restarts.If they don’t already exist, docker-compose creates them when you bring up the cluster.

  1. Make sure Docker Engine is allotted at least 4GiB of memory.In Docker Desktop, you configure resource usage on the Advanced tab in Preference (macOS)or Settings (Windows).

    Docker Compose is not pre-installed with Docker on Linux.See for installation instructions:Install Compose on Linux

  2. Run docker-compose to bring up the cluster:

  3. Submit a _cat/nodes request to see that the nodes are up and running:

Log messages go to the console and are handled by the configured Docker logging driver.By default you can access logs with docker logs. If you would prefer the Elasticsearchcontainer to write logs to disk, set the ES_LOG_STYLE environment variable to file.This causes Elasticsearch to use the same logging configuration as other Elasticsearch distribution formats.

To stop the cluster, run docker-compose down.The data in the Docker volumes is preserved and loadedwhen you restart the cluster with docker-compose up.To delete the data volumes when you bring down the cluster,specify the -v option: docker-compose down -v.

See Encrypting communications in an Elasticsearch Docker Container andRun the Elastic Stack in Docker with TLS enabled.

The following requirements and recommendations apply when running Elasticsearch in Docker in production.

The vm.max_map_count kernel setting must be set to at least 262144 for production use.

How you set vm.max_map_count depends on your platform:

  • Linux

    The vm.max_map_count setting should be set permanently in /etc/sysctl.conf:

    To apply the setting on a live system, run:

  • macOS with Docker for Mac

    The vm.max_map_count setting must be set within the xhyve virtual machine:

    1. From the command line, run:

    2. Press enter and use`sysctl` to configure vm.max_map_count:

    3. To exit the screen session, type Ctrl a d.
  • Windows and macOS with Docker Desktop

    The vm.max_map_count setting must be set via docker-machine:

  • Windows with Docker Desktop WSL 2 backend

    The vm.max_map_count setting must be set in the docker-desktop container:


Configuration files must be readable by the elasticsearch useredit

By default, Elasticsearch runs inside the container as user elasticsearch usinguid:gid 1000:0.

One exception is Openshift,which runs containers using an arbitrarily assigned user ID.Openshift presents persistent volumes with the gid set to 0, which works without any adjustments.

If you are bind-mounting a local directory or file, it must be readable by the elasticsearch user.In addition, this user must have write access to the config, data and log dirs(Elasticsearch needs write access to the config directory so that it can generate a keystore).A good strategy is to grant group access to gid 0 for the local directory.

For example, to prepare a local directory for storing data through a bind-mount:

You can also run an Elasticsearch container using both a custom UID and GID. Unless youbind-mount each of the config, data` and logs directories, you must passthe command line option --group-add 0 to docker run. This ensures that the userunder which Elasticsearch is running is also a member of the root (GID 0) group inside thecontainer.

As a last resort, you can force the container to mutate the ownership ofany bind-mounts used for the data and log dirs through theenvironment variable TAKE_FILE_OWNERSHIP. When you do this, they will be owned byuid:gid 1000:0, which provides the required read/write access to the Elasticsearch process.

Increased ulimits for nofile and nprocmust be available for the Elasticsearch containers.Verify the init systemfor the Docker daemon sets them to acceptable values.

To check the Docker daemon defaults for ulimits, run:

If needed, adjust them in the Daemon or override them per container.For example, when using docker run, set:

Swapping needs to be disabled for performance and node stability.For information about ways to do this, see Disable swapping.


If you opt for the bootstrap.memory_lock: true approach,you also need to define the memlock: true ulimit in theDocker Daemon,or explicitly set for the container as shown in the sample compose file.When using docker run, you can specify:

The image exposesTCP ports 9200 and 9300. For production clusters, randomizing thepublished ports with --publish-all is recommended,unless you are pinning one container per host.

By default, Elasticsearch automatically sizes JVM heap based on a nodes’sroles and the total memory available to the node’s container. Werecommend this default sizing for most production environments. If needed, youcan override default sizing by manually setting JVM heap size.

To manually set the heap size in production, bind mount a JVMoptions file under /usr/share/elasticsearch/config/jvm.options.d thatincludes your desired heap size settings.

For testing, you can also manually set the heap size using the ES_JAVA_OPTSenvironment variable. For example, to use 16GB, specify -eES_JAVA_OPTS='-Xms16g -Xmx16g' with docker run. The ES_JAVA_OPTS variableoverrides all other JVM options. The ES_JAVA_OPTS variable overrides all otherJVM options. We do not recommend using ES_JAVA_OPTS in production. Thedocker-compose.yml file above sets the heap size to 512MB.

Pin your deployments to a specific version of the Elasticsearch Docker image. Forexample

You should use a volume bound on /usr/share/elasticsearch/data for the following reasons:

  1. The data of your Elasticsearch node won’t be lost if the container is killed
  2. Elasticsearch is I/O sensitive and the Docker storage driver is not ideal for fast I/O
  3. It allows the use of advancedDocker volume plugins

If you are using the devicemapper storage driver, do not use the default loop-lvm mode.Configure docker-engine to usedirect-lvm.

Consider centralizing your logs by using a differentlogging driver. Alsonote that the default json-file logging driver is not ideally suited forproduction use.

When you run in Docker, the Elasticsearch configuration files are loaded from/usr/share/elasticsearch/config/.

To use custom configuration files, you bind-mount the filesover the configuration files in the image.

You can set individual Elasticsearch configuration parameters using Docker environment variables.The sample compose file and thesingle-node example use this method. You canuse the setting name directly as the environment variable name. Ifyou cannot do this, for example because your orchestration platform forbidsperiods in environment variable names, then you can use an alternativestyle by converting the setting name as follows.

  1. Change the setting name to uppercase
  2. Prefix it with ES_SETTING_
  3. Escape any underscores (_) by duplicating them
  4. Convert all periods (.) to underscores (_)

For example, -e bootstrap.memory_lock=true becomes-e ES_SETTING_BOOTSTRAP_MEMORY__LOCK=true.

You can use the contents of a file to set the value of theELASTIC_PASSWORD or KEYSTORE_PASSWORD environment variables, bysuffixing the environment variable name with _FILE. This is useful forpassing secrets such as passwords to Elasticsearch without specifying them directly.

For example, to set the Elasticsearch bootstrap password from a file, you can bind mount thefile and set the ELASTIC_PASSWORD_FILE environment variable to the mount location.If you mount the password file to /run/secrets/bootstrapPassword.txt, specify:

You can override the default command for the image to pass Elasticsearch configurationparameters as command line options. For example:

While bind-mounting your configuration files is usually the preferred method in production,you can also create a custom Docker imagethat contains your configuration.

Create custom config files and bind-mount them over the corresponding files in the Docker image.For example, to bind-mount custom_elasticsearch.yml with docker run, specify:

The container runs Elasticsearch as user elasticsearch usinguid:gid 1000:0. Bind mounted host directories and files must be accessible by this user,and the data and log directories must be writable by this user.

By default, Elasticsearch will auto-generate a keystore file for securesettings. This file is obfuscated but not encrypted.

To encrypt your secure settings with a password and have them persist outsidethe container, use a docker run command to manually create the keystoreinstead. The command must:

  • Bind-mount the config directory. The command will create anelasticsearch.keystore file in this directory. To avoid errors, donot directly bind-mount the elasticsearch.keystore file.
  • Use the elasticsearch-keystore tool with the create -p option. You’ll beprompted to enter a password for the keystore.

For example:

You can also use a docker run command to add or update secure settings in thekeystore. You’ll be prompted to enter the setting values. If the keystore isencrypted, you’ll also be prompted to enter the keystore password.

If you’ve already created the keystore and don’t need to update it, you canbind-mount the elasticsearch.keystore file directly. You can use theKEYSTORE_PASSWORD environment variable to provide the keystore password to thecontainer at startup. For example, a docker run command might have thefollowing options:

In some environments, it might make more sense to prepare a custom image that containsyour configuration. A Dockerfile to achieve this might be as simple as:

You could then build and run the image with:

Some plugins require additional security permissions.You must explicitly accept them either by:

  • Attaching a tty when you run the Docker image and allowing the permissions when prompted.
  • Inspecting the security permissions and accepting them (if appropriate) by adding the --batch flag to the plugin install command.

See Plugin managementfor more information.

Here’s how to resolve common errors when running Elasticsearch with Docker.

A keystore-relateddocker run command attemptedto directly bind-mount an elasticsearch.keystore file that doesn’t exist. Ifyou use the -v or --volume flag to mount a file that doesn’t exist, Dockerinstead creates a directory with the same name.

To resolve this error:

  1. Delete the elasticsearch.keystore directory in the config directory.
  2. Update the -v or --volume flag to point to the config directory pathrather than the keystore file’s path. For an example, seeCreate an encrypted Elasticsearch keystore.
  3. Retry the command.

elasticsearch.keystore: Device or resource busyedit

A docker run command attempted to update thekeystore while directly bind-mounting the elasticsearch.keystore file. Toupdate the keystore, the container requires access to other files in theconfig directory, such as keystore.tmp.

To resolve this error:

  1. Update the -v or --volume flag to point to the config directorypath rather than the keystore file’s path. For an example, seeCreate an encrypted Elasticsearch keystore.
  2. Retry the command.

You now have a test Elasticsearch environment set up. Before you startserious development or go into production with Elasticsearch, you must do some additionalsetup:

  • Learn how to configure Elasticsearch.
  • Configure important Elasticsearch settings.
  • Configure important system settings.
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Estimated reading time: 9 minutes

Update to the Docker Desktop terms

Professional use of Docker Desktop in large organizations (more than 250 employees or more than $10 million in revenue) requires users to have a paid Docker subscription. While the effective date of these terms is August 31, 2021, there is a grace period until January 31, 2022, for those that require a paid subscription. For more information, see Docker Desktop License Agreement.

Welcome to Docker Desktop for Windows. This page contains information about Docker Desktop for Windows system requirements, download URL, instructions to install and update Docker Desktop for Windows.

Download Docker Desktop for Windows

System requirements

Your Windows machine must meet the following requirements to successfully install Docker Desktop.

WSL 2 backend

  • Windows 10 64-bit: Home or Pro 2004 (build 19041) or higher, or Enterprise or Education 1909 (build 18363) or higher.
  • Enable the WSL 2 feature on Windows. For detailed instructions, refer to the Microsoft documentation.
  • The following hardware prerequisites are required to successfully runWSL 2 on Windows 10:

    • 64-bit processor with Second Level Address Translation (SLAT)
    • 4GB system RAM
    • BIOS-level hardware virtualization support must be enabled in theBIOS settings. For more information, seeVirtualization.
  • Download and install the Linux kernel update package.

Hyper-V backend and Windows containers

  • Windows 10 64-bit: Pro 2004 (build 19041) or higher, or Enterprise or Education 1909 (build 18363) or higher.

    For Windows 10 Home, see System requirements for WSL 2 backend.

  • Hyper-V and Containers Windows features must be enabled.
  • The following hardware prerequisites are required to successfully run ClientHyper-V on Windows 10:

    • 64 bit processor with Second Level Address Translation (SLAT)
    • 4GB system RAM
    • BIOS-level hardware virtualization support must be enabled in theBIOS settings. For more information, seeVirtualization.


Docker only supports Docker Desktop on Windows for those versions of Windows 10 that are still within Microsoft’s servicing timeline.

Containers and images created with Docker Desktop are shared between alluser accounts on machines where it is installed. This is because all Windowsaccounts use the same VM to build and run containers. Note that it is not possible to share containers and images between user accounts when using the Docker Desktop WSL 2 backend.

Nested virtualization scenarios, such as running Docker Desktop on aVMWare or Parallels instance might work, but there are no guarantees. Formore information, see Running Docker Desktop in nested virtualization scenarios.

About Windows containers

Looking for information on using Windows containers?

  • Switch between Windows and Linux containersdescribes how you can toggle between Linux and Windows containers in Docker Desktop and points you to the tutorial mentioned above.
  • Getting Started with Windows Containers (Lab)provides a tutorial on how to set up and run Windows containers on Windows 10, Windows Server 2016 and Windows Server 2019. It shows you how to use a MusicStore applicationwith Windows containers.
  • Docker Container Platform for Windows articles and blogposts on the Docker website.

Install Docker Desktop on Windows

  1. Double-click Docker Desktop Installer.exe to run the installer.

    If you haven’t already downloaded the installer (Docker Desktop Installer.exe), you can get it from Docker Hub. It typically downloads to your Downloads folder, or you can run it from the recent downloads bar at the bottom of your web browser.

  2. When prompted, ensure the Enable Hyper-V Windows Features or the Install required Windows components for WSL 2 option is selected on the Configuration page.

  3. Follow the instructions on the installation wizard to authorize the installer and proceed with the install.

  4. When the installation is successful, click Close to complete the installation process.

  5. If your admin account is different to your user account, you must add the user to the docker-users group. Run Computer Management as an administrator and navigate to Local Users and Groups > Groups > docker-users. Right-click to add the user to the group.Log out and log back in for the changes to take effect.

Start Docker Desktop

Docker Desktop does not start automatically after installation. To start Docker Desktop:

  1. Search for Docker, and select Docker Desktop in the search results.

  2. The Docker menu () displays the Docker Subscription Service Agreement window. It includes a change to the terms of use for Docker Desktop.

    Here’s a summary of the key changes:

    • Our Docker Subscription Service Agreement includes a change to the terms of use for Docker Desktop
    • It remains free for small businesses (fewer than 250 employees AND less than $10 million in revenue), personal use, education, and non-commercial open source projects.
    • It requires a paid subscription for professional use in larger enterprises.
    • The effective date of these terms is August 31, 2021. There is a grace period until January 31, 2022 for those that will require a paid subscription to use Docker Desktop.
    • The existing Docker Free subscription has been renamed Docker Personal and we have introduced a Docker Business subscription .
    • The Docker Pro, Team, and Business subscriptions include commercial use of Docker Desktop.
  3. Click the checkbox to indicate that you accept the updated terms and then click Accept to continue. Docker Desktop starts after you accept the terms.


    If you do not agree to the updated terms, the Docker Desktop application will close and you can no longer run Docker Desktop on your machine. You can choose to accept the terms at a later date by opening Docker Desktop.

    For more information, see Docker Desktop License Agreement. We recommend that you also read the Blog and FAQs to learn how companies using Docker Desktop may be affected.

Quick Start Guide

When the initialization is complete, Docker Desktop launches the Quick Start Guide. This tutorial includes a simple exercise to build an example Docker image, run it as a container, push and save the image to Docker Hub.

To run the Quick Start Guide on demand, right-click the Docker icon in the Notifications area (or System tray) to open the Docker Desktop menu and then select Quick Start Guide.

Congratulations! You are now successfully running Docker Desktop on Windows.



When an update is available, Docker Desktop displays an icon to indicate the availability of a newer version.

Starting with Docker Desktop 4.1.0, the Software Updates section in the General tab also notifies you of any updates available to Docker Desktop. You can choose to download the update right away, or click the Release Notes option to learn what’s included in the updated version. If you are on a Docker Team or a Business subscription, you can turn off the check for updates by clearing the Automatically Check for Updates checkbox in the General settings. This will also disable the notification badge that appears on the Docker Dashboard.

To encourage developers to stay up to date, Docker Desktop displays a reminder two weeks after an update becomes available. You can dismiss this daily reminder by clicking Snooze. You can skip an update when a reminder appears by clicking the Skip this update option.

Docker Subscription Service Agreement

Beginning on August 31, 2021, you must agree to the Docker Subscription Service Agreement to continue using Docker Desktop. Read the Blog and the Docker subscription FAQs to learn more about the changes.

Click Download update When you are ready to download the update. This downloads the update in the background. After downloading the update, click Update and restart from the Docker menu. This installs the latest update and restarts Docker Desktop for the changes to take effect.

When Docker Desktop starts, it displays the Docker Subscription Service Agreement window. Read the information presented on the screen to understand how the changes impact you. Click the checkbox to indicate that you accept the updated terms and then click Accept to continue.

Docker Install Ubuntu Image


If you do not agree to the terms, the Docker Desktop application will close and you can no longer run Docker Desktop on your machine. You can choose to accept the terms at a later date by opening Docker Desktop.

Docker Desktop starts after you accept the terms.

Uninstall Docker Desktop

Install Docker Image Ubuntu

To uninstall Docker Desktop from your Windows machine:

  1. From the Windows Start menu, select Settings > Apps > Apps & features.
  2. Select Docker Desktop from the Apps & features list and then select Uninstall.
  3. Click Uninstall to confirm your selection.


Uninstalling Docker Desktop destroys Docker containers, images, volumes, andother Docker related data local to the machine, and removes the files generatedby the application. Refer to the back up and restore datasection to learn how to preserve important data before uninstalling.

Install Image Dockerfile

Where to go next

Install Docker Image From Tar

  • Getting started introduces Docker Desktop for Windows.
  • Get started with Docker is a tutorial that teaches you how todeploy a multi-service stack.
  • Troubleshooting describes common problems, workarounds, andhow to get support.
  • FAQs provide answers to frequently asked questions.
  • Release notes lists component updates, new features, and improvements associated with Docker Desktop releases.
  • Back up and restore data provides instructions on backing up and restoring data related to Docker.

Install Image Docker Windows 10

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