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Tosca Types for docker support. Not normative but better approach than current TOSCA types.

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docker-tosca-types

This project aims at providing a TOSCA nearly-normative set of types for Docker support within Alien4Cloud.

We are not following the exact types from TOSCA as we are not fully inline with their current implementation. We plan anyway to provide compatibility with TOSCA types later.

Current TOSCA types for containers implies specific Capabilities and Requirements. We believe this to be a wrong approach and that the difference between a Docker-based component and a non-Docker component should be handled by the orchestrator. For instance, deploying a MongoDb via a Docker image in a container or through Scripts in a compute should in our opinion lead to a MongoCapability that derives from tosca.capabilities.Endpoint in both implementations.

In the future, this approach will lead to the ability to deploy topologies with both containers and non-container nodes (based on orchestrators support).

Docker-types description

The node_type tosca.nodes.Container.Application.DockerContainer is derived_from the existing type tosca.nodes.Container.Application.

Defining operations

  • The implementation value of the Create operation takes the Docker image, as explained below. Other operations are not supported ATM.

  • Technical configuration can be given to the container using the Create operation inputs. Inputs will be converted into environment variables, docker run arguments, or docker options depending on the input's prefix. Respectively :

    • ENV_{INPUT_NAME} will result in an environment variable inside the container named INPUT_NAME
    • ARG_{INPUT_NAME} will result in the input value being passed as an ENTRYPOINT argument (those are unamed)
    • OPT_{INPUT_NAME} will result in an arbitrary command-line option named INPUT_NAME for the docker run command.

    Inputs should be used for technical configuration (such as a port definition) or configuration that should be auto-resolved by the orchestrator. For user specific configuration, use the new docker_options, docker_env_vars or docker_run_args instead. See Nodecellar sample for an example.

  • To provide the container with a custom command to run, use the docker_run_cmd property.

Docker images

Docker images are defined using a new artifact type combined with a repository definition. To specify which image a container use, you must defined the image as the implementation artifact of the container's Create operation, like this:

create:
  implementation:
    file: mongo:latest
    repository: docker
    type: tosca.artifacts.Deployment.Image.Container.Docker

Adding External Storage as Docker Volumes

You can add External Volumes to your containers by using the alien.nodes.DockerExtVolume type. You must however define a volume name (that must be unique in your provider) and a container mount point.

Getting a property from a requirement target

To implement a dependency from a container to another component in a flexible way, we want to allow users to use either environment variables, docker run arguments or a custom command, as they see fit. To achieve this, we need a way to request a property of a requirement TARGET from within the SOURCE properties definition. see Nodecellar sample for an example. This means that within a node definition, given a requirement name, we want to access a property defined in the TARGET of such requirement. For example : { get_property: [REQ_TARGET, mongo_db, port] } should return the port property of the TARGET of the mongo_db requirement, which is a capability. If the property cannot be found, we will look for it in the TARGET node itself.

Tuning the container

We added a set of properties to allow user configuration of the containers within the Alien editor.

Docker CLI arguments

It is possible to define arguments for the Docker CLI using the docker_cli_args property as a map of key/pairs. It is also possible (and recommended) to create a custom datatype if specific CLI args are expected for the application (see the Nodecellar example).

Docker run command

To define a command to be executed inside the container, use the docker_run_cmd property. This will override a CMD statement in the container's Dockerfile. The value will be wrapped into /bin/sh -c '${cmd}'.

Docker run args

If your container's Dockerfile uses an ENTRYPOINT, you can specify arguments using the docker_run_args property. Those will be appended to the docker run command.

Docker env variables

To set environment variables inside the container, use the docker_env_vars property map.

Defining capabilities

Modularity

We aim for topologies where Docker containers and non-docker apps can live together. As such, capabilities for Docker containers should inherit usual capabilities. For instance, in the Nodecellar sample, we defined :

  • The alien.capabilities.endpoint.Mongo capability, which inherits tosca.capabilities.Endpoint and is the generic ability to expose a Mongo database,
  • The alien.capabilities.endpoint.docker.Mongo capability, which derives from the latter. This capability is exposed by the mongo_db capability of the MongoDocker Node-type. Using inheritance, this means that any other Node-type requiring alien.capabilities.endpoint.Mongo can use the MongoDocker through a classic ConnectsTo relationship.

Bridging between container and host ports

To allow bridge networking between the container and it's host, we added the docker_port_mapping property to the alien.capabilities.endpoint.docker.Mongo relationship. This will be interpreted by the Orchestrator as the Host port, while the port property (which we inherited from the Endpoint capability) represents the port inside the container. If the value is 0, the Orchestrator will randomly allocate a port. If no value is specified, then Host networking will be used.

Hosting requirements

As per the usual host requirement, we decided to use a lower_bound value of 0. This allows definition of topologies with containers only, which we will be able to deploy onto already provisioned clusters, like Mesos or Kubernetes.

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