• Travis-CI Dashboard:

• Introduction
• Requirements
• Building CloudStream-enabled Software
• Using CloudStream
• CloudStream Runtime Options
• CloudStream Option Syntax
• Other Resources

CloudStream is a Docker-based framework/container for Application Streaming. Application Streaming describes the process by which software is run on a remote server but is accessed on a device as though it were running locally. The CloudStream framework provides an environment pre-built to provide remote application access via a web browser. All that is required to use CloudStream is include your own Linux software!

CloudStream is a Docker image, which other images may be built on. As a result, using CloudStream requires a local Docker installation. Instructions for installing Docker may be found here.

All you need to build a CloudStream-enabled Docker image is a custom Docker configuration file, called a Dockerfile. This section describes Dockerfiles in general, and how to construct a Dockerfile which uses CloudStream.

CloudStream provides the technology stack required for an application-streaming-enabled environment. This includes a virtual desktop environment which can be accessed via a web browser. Using CloudStream is as simple as defining a new project which inherits from the CloudStream Docker image, unidata/cloudstream. This allows a project to inherit the application-streaming technology stack and default CloudStream options.

How do you define a project which inherits from unidata/cloudstream? With a custom Docker configuration file.

Docker images are built using configuration files referred to as a Dockerfile. Examples of various types of Dockerfiles may be found in the examples/ directory, and a robust, annotated Dockerfile template for Ubuntu/Debian systems is also included in the CloudStream project (Dockerfile.template). It is also directly viewable here. This template is designed to serve as a starting point for building your own Docker image.

The Docker organization also provides documentation for building and configuring your own Dockerfile. This documentation may be found at their website.

In order to stream your GUI application through a web browser, you must build a Docker container on top of and existing unidata/cloudstream image.

A new Docker application based on unidata/cloudstream:latest (Ubuntu) begins as

FROM unidata/cloudstream:latest
USER root
# Run in non-interactive mode
ENV DEBIAN_FRONTEND noninteractive
# Run any command here...
COPY start.sh ${HOME}/

A new Docker application based on unidata/cloudstream:centos7 begins as

FROM unidata/cloudstream:centos7
ENV APPLICATION_VERSION 1.0.0
# Run any command here...
COPY start.sh ${HOME}/

The file start.sh will be run by bootstrap.sh to execute your own application, and must be present in ${HOME} (/home/stream).

Once a custom Dockerfile has been configured, building your project is as simple as:

$ docker build -t [your project name] -f [your Dockerfile] .

To run this custom Docker image, you would run the following from the command line:

$ docker run -it -p 6080:6080 [your project name]

Your Docker image would then be viewable by entering the following address in a web browser:

http://[IP address of the machine running the image]:6080

CloudStream instances are typically accessed via a web browser. Clicking the connect button will take you into your cloud-enabled application.

The clipboard is controlled using the panel on the left side of the browser window, and is represented by the third icon from the top. Text pasted into the Clipboard panel will be copied to the CloudStream clipboard, and can be pasted in the browser window via the Middle Mouse Button.

Text pasted into the Clipboard panel will be copied to the CloudStream clipboard, and can be pasted in the browser window via the Middle Mouse Button.

Highlighting text in the CloudStream application will cause it to be copied into the Clipboard panel, allowing it to be copied-and-pasted back to your local computer.

CloudStream has several options built-in, enumerated below. These options are inherited by any CloudStream-based Docker images, although these options may be removed or have their default values changed by a developer. Additionally, it is easy for a developer to add additional options for use in their CloudStream-based image. The variables and their syntax are described below.

Below are the options available for use with unidata/cloudstream. They are organized into three groups, Information Options, Security Options and Display Options.

You will notice in all of our examples, we consistently pass the -it option to Docker. This tells Docker to run as an interactive shell, and is required for unidata/cloudstream to work properly.

In addition to the CloudStream options outlined above, you will need to expose port 6080 using the Docker flags -p or -P. The -p option allows you to specify a specific port mapping, e.g. -p 6081:6080 would result in a running docker image accessible on port 6081. The -P option specifies a dynamic port mapping, where Docker will find an available port. You would then need to use docker ps to determine what port was selected. This would work as follows:

$ docker run -it -P  unidata/cloudstream
$ docker ps
CONTAINER ID        IMAGE                 COMMAND                  CREATED             STATUS              PORTS                     NAMES
47de1934777f        unidata/cloudstream   "/bin/sh -c /home/${C"   52 seconds ago      Up 51 seconds       0.0.0.0:32768->6080/tcp   big_pare

In this example, we see that we would connect to the unidata/cloudstream-based image by opening a web browser and going to [Server IP Address]:32768.

CloudStream options are handled by passing particular environmental variables to the unidata/cloudstream image (or any derived image) when it is run by Docker. This is accomplished using the -e flag provided by Docker, and the basic syntax is as follows:

$ docker run -it -e OPTION1=VALUE2 -e OPTION2=VALUE2 unidata/cloudstream

Read below for examples using specific options available to CloudStream.

$ docker run -it -e VERSION=TRUE unidata/cloudstream
CloudStream Version: "1.0.0 - development"	Thu Jan 28 21:23:27 UTC 2016

$ docker run -it -p 6080:6080 -e USEPASS=password1234 -e SIZEW=800 -e SIZEH=600 -CDEPTH=16 unidata/cloudidv

For more information on Docker syntax and using CloudStream as a basis for other application-streaming applications, see the following resources:

• Unidata CloudStream project page: https://github.com/Unidata/cloudstream/
• Unidata CloudIDV project page: https://github.com/Unidata/cloudidv/
• Unidata CloudAWIPS project page: https://github.com/Unidata/CloudAWIPS/
• Unidata CloudGEMPAK project page: https://github.com/Unidata/CloudGEMPAK/
• Dockerfile Syntax: https://docs.docker.com/engine/reference/builder/