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Container Infrastructure Management Service for OpenStack
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Davanum Srinivas aa039bb011 Make room for functional tests 
We need to consolidate the unit tests into a separate
directory so we can run just the unit tests in our py27
tox target. And we can in subsequent reviews add a parallel
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Related-Bug: #1439621
Change-Id: I8bf5af953fb31080096c371966f7dfda9edb1bf4
 		2015-04-02 12:25:43 -04:00
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README.rst

Magnum

new Openstack project for containers.

Architecture

There are seven different types of objects in the Magnum system:

  • Bay: A collection of node objects where work is scheduled
  • BayModel: An object stores template information about the bay which is used to create new bays consistently
  • Node: A baremetal or virtual machine where work executes
  • Pod: A collection of containers running on one physical or virtual machine
  • Service: An abstraction which defines a logical set of pods and a policy by which to access them
  • ReplicationController: An abstraction for managing a group of PODs to ensure a specified number of PODs are running
  • Container: A docker container

Two binaries work together to compose the Magnum system. The first binary accessed by the python-magnumclient code is the magnum-api ReST server. The ReST server may run as one process or multiple processes. When a ReST request is sent to the client API, the request is sent via AMQP to the magnum-conductor process. The ReST server is horizontally scalable. At this time, the conductor is limited to one process, but we intend to add horizontal scalability to the conductor as well.

The magnum-conductor process runs on a controller machine and connects to a kubernetes or docker ReST API endpoint. The kubernetes and docker ReST API endpoints are managed by the bay object.

When service or pod objects are created, Kubernetes is directly contacted via the k8s ReST API. When container objects are acted upon, the docker ReST API is directly contacted.

Features

  • Abstractions for bays, containers, nodes, pods, and services
  • Integration with Kubernetes and Docker for backend container technology.
  • Integration with Keystone for multi-tenant security.
  • Integration with Neutron for k8s multi-tenancy network security.

Installation and Usage