Using specialized apps such as Docker for creating container images comes with the multiple advantages of OS-level virtualization, container isolation, but also permitted communication through particular channels. The single operating system kernel sharing that undergoes when dealing with such container instances, makes resource allocation and consumption far more efficient than the required levels for virtual machines.
Crane is a specialized tool that was created in order to offer users a GUI-based alternative to creating their container images for Docker. By establishing connectivity between the two, one can simply define the parameters of the required containers from within a single instance. The application can be used as a standalone image builder, but it also comes equipped with features for integrating with machine learning software.
Aside from connecting to Docker, users can also integrate Crane with PrimeHub, for listing, pushing, and importing local or remote container images. The container image builder engine relies on installing packages based on APT, CONDA, and PIP. Furthermore, users also have access to a list of pre-built container images in the included drop-down menu.
Last but not least, one will be able to merge their Docker and PrimeHub credentials, which will be stored in the included vault.
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The main challenge when doing machine learning research is data acquisition and storage. Besides the fact that the model one is trying to train and apply cannot be utilized without a data set, having an accessible way to store the data can also be a challenge. This is where containers come in handy. Container images are containers with all of the data, applications, and software one needs in order to make their machine learning process run smoothly. By having a data set in one’s hands, one can start the training, apply, or evaluation process from the start.
As far as the design is concerned, the graphical user interface for this application has been made as easy to use as possible, with a clean look and feel, and the options are written in a way that one could easily comprehend and navigate. In the configuration panel, users can access and edit the default values that the application offers for both the Docker and PrimeHub connections. Furthermore, the connection manager and the settings for the local and remote Docker and PrimeHub repositories are also shown within the panel.
After editing, the application will use the connection parameters defined in the settings and import the local Docker image repository. In order to ensure that the image is the latest version of the application, and to update any necessary libraries, the tool will then build the image, using whatever Dockerfile and/or config file is required for the particular container type. Once the image is built, the tool will then prepare the environment, by performing the necessary installation of libraries and components.
When the process is finished, the application will push the image to Docker, and publish it to the PrimeHub repository for sharing.
When wanting to test container images using a Dockerfile, the process of creating the image could be the first stumbling block. For beginners, the process of doing so would entail navigating through a maze of poorly designed interfaces and throwing away precious time and data. Crane aims to eliminate this problem by allowing users to simply use the application to build the image for them.
While one could simply write a Dockerfile by hand, the tool’s workspace allows for the use of a Dockerfile template that will be applied to the source directory. Furthermore, users can also simply use the provided image-building process for an existing template that has already been pre-made for them.
The application can be used as a standalone image builder, but it also comes equipped with features for integrating with machine learning software. The tool supports the following container types:
xinetd: A daemon that
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Crane is a specialized Docker container builder and service for establishing communication between Docker and PrimeHub. It is available as a standalone application, or in a local installation mode. The interface consists of a menu bar, with tabs for Docker, PrimeHub, Containers, and Settings. A settings window allows users to establish required Docker and PrimeHub credentials.
Key Features:
• Write container images on the Docker Hub for local use
• Create container images on Docker Hub and import them to Crane
• Create container images on the local machine and build them in Crane
• Access a list of pre-built Docker images in the menu bar
• Connect Docker and PrimeHub to merge Docker and PrimeHub credentials
• An encrypted Docker and PrimeHub vault
Getting Started:
Before launching Crane for the first time, a Docker Hub account will need to be created. During the installation process, the following credentials are needed:
• Name of the user account (obtained from the Docker Hub user management page)
• A secret key for Docker Hub (obtained from the Docker Hub security page)
• A secret key for PrimeHub (obtained from the PrimeHub login page)
• A local user account (obtained from the user management page)
Alternatively, the user can obtain all of these credentials from Crane’s settings.
Next, proceed to the “Docker Connect” tab. Next, provide a Docker Hub account name and secret key. Next, connect Docker Hub to Crane.
After this is finished, proceed to the “Crane Connect” tab. Next, provide a Docker Hub account name and secret key. Next, connect Crane to Docker Hub.
Next, access the “Docker Hub” tab. Next, provide a Docker Hub account name and secret key. Next, connect Docker Hub to Crane.
Next, access the “Crane” tab. Next, provide a user name for Crane and a secret key for Crane. Next, connect Crane to Docker Hub.
Next, access the “Containers” tab. Next, provide a local Docker account name and secret key. Next, connect the local Docker account to Crane.
Next, access the “Containers” tab. Next, provide a local Docker account name and secret key. Next, connect the local Docker account to Crane.
Next, access the “Settings” tab. Next, provide a local user account name and secret key. Next, connect
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To start, users can type crane in a terminal and will be greeted with a list of available commands.
The crane command is used to define a project.
The crane project command is used to create a new project. When the project name has been specified, the user will be prompted to provide project details. The details that the user can input include the project name, the project type, the development environment, the machine on which the application will run, the version information, the container image source and destination, and the git source of the project.
A typical crane project definition includes the project name, project type, the machine on which it will run, the version information, and the git source for the project.
At the beginning of a new project, users can select the development environment they wish to run Crane in. The development environment currently consists of docker-compose and scripts.
Selecting the docker-compose option, will initially display the Crane version. The Crane docker-compose file can then be generated. After this process has been completed, the docker-compose file can be configured in order to build the user’s container images.
Selecting the script option, will launch Crane with a default configuration for building the user’s container images. After the user has confirmed that they wish to execute the given command, Crane will generate the docker-compose file.
The “Generate Docker Compose file” window will display the user’s Docker Compose file.
This window will display the contents of the user’s Docker Compose file.
In order to generate the Docker Compose file, users will be required to provide some details.
The Crane docker-compose file can be modified by the user in order to configure the various containers, volumes, containers, and services that the user wishes to build.
This window will display the necessary details for configuring the user’s Docker Compose file.
Upon completing all of the necessary configuration, Crane will launch the Docker Compose file so that it can be used to build the user’s container images.
This window will display the options available for configuring the user’s Docker Compose file.
When the configuration for the user’s Docker Compose file has been completed, Crane will launch the Docker Compose file so that it can be used to build the user’s container images.
This window will display the settings for the user’s Docker Compose
What’s New in the Crane?
Crane is a container image builder software that helps you quickly build and share container images for Docker and PrimeHub.
It offers users the ability to easily create, edit, and view container images.
Crane has been designed as a lightweight and intuitive tool for creating container images. It offers basic functionality that is often found in dedicated image building and container image building apps.
These features include the ability to view an image tree, view image details, add, edit and delete tags, run image pre-built commands, as well as interact with Docker Hub and PrimeHub.
Once one has established connectivity with the Docker and PrimeHub services, Crane can be used as a standalone image builder.
Crane can also be used to import container images from its internal list of pre-built container images, or to link your Docker and PrimeHub credentials.
Crane Screenshots:
To get Crane for Linux click here and choose the.deb file. (32-bit)
To get Crane for Windows click here and choose the.exe file.
To get Crane for OS X, click here and choose the.dmg file.
Installation Instructions:
Once the program is installed and running, access it by typing Crane or Crane at the command line, and selecting ‘Crane’ from the drop down menu. You can start by adding container images to your account by clicking on ‘+ new image’. Select your local image file, enter a name for it, and click ‘Upload’.
To view an existing container image, click on it and view it in a new window. To edit tags, simply click on them and use the ‘+’ or ‘-‘ buttons to modify them.
When a container image is built, it will also appear in the drop down menu under the ‘+ container’ tab. One will also have access to a list of pre-built container images that Crane has available to it, by clicking on ‘Image Builder’.
Once Crane is connected to Docker and PrimeHub, all credentials for one’s account will be stored in the included vault.
Now that Crane is configured and working, there are a few other things to know about how Crane interacts with Docker, and how to use Crane to interact with Docker Hub and PrimeHub.
How Crane interacts with Docker:
To access Crane’s functionality, one will first need to establish an account with Docker. This can be done by registering a free account at It is recommended to register as a user in order to have more control over one’s image repository, with ability to push, pull, and build images.
Once one has registered a user account with Docker, they will be able to access Crane by clicking on ‘+ New Account’ from the main menu and
System Requirements For Crane:
Minimum:
OS: Windows XP 64-bit
Processor: AMD Athlon X2 or Intel Pentium D 3.0GHz
Memory: 512MB RAM
Hard Drive: 750MB available space
Graphics: DirectX 9.0c or higher, Shader Model 3.0 or higher
DirectX: Version 9.0c
Sound Card: DirectX 9.0c compatible
Additional Notes:
* Game will be run in windowed mode with the number of pixels specified at run-time
* M
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