kerberos-io / kerberos-docker

Run Kerberos Open Source inside a docker container.

Home Page:http://doc.kerberos.io/opensource/installation#docker

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Kerberos Open Source - Docker (Archived)

This project is archived, and move to the new agent repository: Kerberos Agent.


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License

The Kerberos Open Source project is licensed with BY-NC-SA 4.0, this means that everyone can use Kerberos and modify if to their needs, in a non commercial activity.

More information about this license.

Why Kerberos?

As burglary is very common, we believe that video surveillance is a trivial tool in our daily lifes which helps us to feel a little bit more secure. Responding to this need, a lot of companies have started developing their own video surveillance software in the past few years.

Nowadays we have a myriad of expensive cameras, recorders, and software solutions which are mainly outdated and difficult to install and use. Kerberos Open Source goal is to solve these problems and to provide every human being in this world to have their own ecological, affordable, easy-to-use and innovative surveillance solution.

Docker

A Docker image (x86, ARMv7, ARMv8) is available on the Docker Hub, which contains all the necessary software to setup the Kerberos agent. Before you can run this image you will have to make sure Docker is installed. After the installation you can use docker run to get the Kerberos agent up and running; you can also opt for dockeros to create and scale your Kerberos agents.

Use docker run

After you've installed Docker, you can open a command prompt and type in following command. This will pull the kerberos image and make the web interface available on port 80 and the livestream on port 8889. You can give the container a custom name using the --name property.

docker run --name camera1 -p 80:80 -p 8889:8889 -d kerberos/kerberos
docker run --name camera2 -p 81:80 -p 8890:8889 -d kerberos/kerberos
docker run --name camera3 -p 82:80 -p 8891:8889 -d kerberos/kerberos

Or use dockeros (our docker creation tool)

We've created a simple and small tool to auto provision and auto configure the Kerberos agents. The idea is that you define the different configurations for every camera upfront (/environments directory), and map them to into your Docker container (using volumes). The ultimate goal is to have a fully automated for provisioning your Kerberos agents in just a matter of seconds. It's also a great way to backup your security configuration.

CAMERA 1 <<== CONTAINER1 <<== environment/cameraconfig1
CAMERA 2 <<== CONTAINER2 <<== environment/cameraconfig2
CAMERA 3 <<== CONTAINER2 <<== environment/cameraconfig3

How to use it?

The tool we've created is a simple bash script which we called dockeros, and exposes a couple of methods; discussed below. By specifying a number of parameters, dockeros will do all the magic dockering for you. This tool is still work in progress, so PR's and new features are welcome!

git clone https://github.com/kerberos-io/docker
cd docker/bin
./dockeros.sh {command}

Commands

List all kerberos.io containers which are created.

./dockeros.sh showall

Remove all kerberos.io containers which were created before.

./dockeros.sh cleanup

Create a kerberos.io container with a name and predefined configuration.

./dockeros.sh create {name} {config} {webport} {streamport}
  • name: This is the name of the container which will be created.

  • config: The configuration which needs to be injected in the container. The configuration directories can be found in the /environments folder.

  • webport: The port on which the webinterface will be served.

  • streamport: The port on which the livestream will be served.

Buildx

docker run --rm --privileged docker/binfmt:66f9012c56a8316f9244ffd7622d7c21c1f6f28d

docker buildx create --name nubuilder --driver docker-container

docker buildx use nubuilder

docker buildx inspect --bootstrap

# linux/arm/v6 gives issues on php7.1
docker buildx build --platform linux/amd64,linux/arm/v7,linux/arm64 -t kerberos/kerberos --push .

About

Run Kerberos Open Source inside a docker container.

http://doc.kerberos.io/opensource/installation#docker


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