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Last pushed: 17 days ago
Short Description
Docker images for Roboconf's deployment manager (DM).
Full Description

Roboconf is a platform to manage elastic deployments in the cloud.
It manages deployments, probes, automatic reactions and reconfigurations. It can be defined as « PaaS framework »: a solution to build PaaS (Platform as a Service). Most PaaS, such as Cloud Foundry or Openshift, target developers and support application patterns. However, some applications require more flexible architectures or design. Roboconf addresses such cases.

With Roboconf, you can create PaaS for any programming language, any kind of application and any operating system. You define what you put in your platform, you specify all the interactions, administration procedures and so on.

Roboconf handles application life cycle: hot reconfiguration (e.g. for elasticity issues) and consistency
(e.g. maintaining a consistent state when a component starts or stops, even accidentally). This relies on a messaging queue (currently Rabbit MQ). Application parts know what they expose to and what they depend on from other parts. The global idea is to apply to applications the concepts used in component technologies like OSGi. Roboconf achieves this in a non-intrusive way, so that it can work with legacy Software.

Application parts use the message queue to communicate and take the appropriate actions depending on what is deployed or started. These appropriate actions are executed by plug-ins (such as bash or Puppet).

Roboconf is distributed technology, based on AMQP and REST / JSon. It is IaaS-agnostic, and supports many well-known IaaS (including OpenStack, Amazon Web Services, Microsoft Azure, VMWare, as well as a "local" deployment plug-in for on-premise hosts). Please, refer to the FAQ for more details.

How to use this image?

Roboconf involves a messaging solution.
For new beginners, the most simple solution is to rely on HTTP messaging (which is directly embedded in Roboconf's DM). With this configuration, use the following command to launch Roboconf's DM.

docker run -d -p 8181:8181 roboconf/roboconf-dm:latest

For production environments though, Roboconf's DM may require a fully-working RabbitMQ server.
To start Roboconf using the official RabbitMQ image, please run the following commands:

# Run RabbitMQ in its own container.
docker run -d -p 5672:5672 -p 4369:4369 --name rc_rabbitmq -d rabbitmq:latest

# Run Roboconf's DM and link it with RabbitMQ.
docker run -d -p 8181:8181 --link rc_rabbitmq:rabbitmq roboconf/roboconf-dm:latest

You can then go to http://localhost:8181/roboconf-web-administration or http://host-ip:8181/roboconf-web-administration in a browser.

It is possible to modify the Roboconf configuration by setting environment variables.
Here are the default values:

Variable Value Description
MESSAGING_TYPE http The messaging implementation to use (http or rabbitmq).
REDIRECT_LOGS - If defined, this variable redirects logs to the standard output.

If MESSAGING_TYPE is set to http.

Variable Value Description
HTTP_IP localhost The IP address of Roboconf's DM. This IP will be used by agents.
HTTP_PORT 8181 The port used by the DM to expose its web socket for agents.

If MESSAGING_TYPE is set to rabbitmq.

Variable Value Description
RABBITMQ_PORT_5672_TCP_ADDR rc_rabbitmq RabbitMQ's IP address (link to another Docker container by default).
RABBITMQ_PORT_5672_TCP_PORT 5672 RabbitMQ's port.
RABBITMQ_USER guest User name to connect to RabbitMQ.
RABBITMQ_PASS guest Password name to connect to RabbitMQ.

To run it as a stand-alone using your own RabbitMQ server, you can use -e option to match your settings.
For example, to connect to RabbitMQ server listening on IP 192.168.0.55 and port 5672 using roboconf as user and password:

# You can pass as many environment variables as necessary.
$ docker run -d -p 8181:8181 \
         -e MESSAGING_TYPE=rabbitmq \
         -e RABBITMQ_PORT_5672_TCP_ADDR=192.168.0.55 \
         -e RABBITMQ_USER=roboconf \
         -e RABBITMQ_PASS=roboconf \
         roboconf/roboconf-dm:latest

Once your container is started, you may have to login to deploy additional artifacts (e.g. target handlers in the DM).

$ docker exec -it <container_id> /bin/bash

# You can now interact with the container.

$ cd bin
$ ./client -u karaf

# You are now logged into Karaf.
# Do what you have to do and log out.

$ karaf > roboconf:target openstack
$ karaf > logout

# Then, exit the container.

$ exit
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roboconf

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