magnum/README.rst
Jay Lau (Guangya Liu) d196a5d3c8 Change link of quick start to git.openstack.org
The current start guide is using github.com for the reference of
the quick start guide, but this might not always the latest quick
start.

This patch is using git.openstack.org as the dev quick start guide
which can make sure we can always get the latest quick start.

Change-Id: Ie0902166a3e5280f42d5479db10026528c548a68
2015-02-22 18:33:21 +08:00

2.2 KiB

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-backend 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