OpenStack Identity (Keystone)
Go to file
Monty Taylor fc3de2491d Use gerrit instead of github
When we run gating tests in jenkins, any access of network resources is a
potential source of false-negative on the test due to intermittent service
failures on systems that are out of our control. We observe that this is
actually quite frequent when things want to access PyPI or github. With
pypi, we pre-create virtualenvs and cache the eggs so that an individual
test run doesn't fail due to pypi not responding. For repos, if at all
possible, we direct them all at the gerrit instance, because since gerrit is
driving the test run in the first place, it's indicative of a much larger
problem if jenkins can't talk to it - and it's one that we can fix if it
does come up.

Change-Id: I9f54133f7f2025d15a9d0b270d2466438cbc6dd5
2012-01-31 14:16:03 -05:00
bin Fix pep8 violations. 2012-01-31 14:15:57 -05:00
docs removing unused images, cleaning up RST in docstrings from sphinx warnings 2012-01-30 20:22:34 +00:00
etc update some names 2012-01-18 21:47:18 -08:00
keystone Fix pep8 violations. 2012-01-31 14:15:57 -05:00
tests Use gerrit instead of github 2012-01-31 14:16:03 -05:00
tools fixing up PIP requirements for testing and virtualenv 2012-01-27 07:00:44 +00:00
.gitignore expect sphinx sources to be autogenned 2012-01-18 19:53:37 -08:00
README.rst removing the sphinx_build from setup.py, adding how to run the docs into the README 2012-01-20 20:51:54 +00:00
run_tests.py add novaclient, intermediate 2011-11-07 14:54:50 -08:00
run_tests.sh keystone_compat -> service 2012-01-09 15:03:29 -08:00
setup.py Fix pep8 violations. 2012-01-31 14:15:57 -05:00
TODO add a couple more tests 2012-01-12 12:45:08 -08:00

Keystone

:maxdepth 2

Keystone is an OpenStack project that provides Identity, Token, Catalog and Policy services for use specifically by projects in the OpenStack family.

Much of the design is precipitated from the expectation that the auth backends for most deployments will actually be shims in front of existing user systems.

Development

Building the Documentation

The documentation is all generated with Sphinx from within the docs directory. To generate the full set of HTML documentation:

cd docs make autodoc make html make man

the results are in the docs/build/html and docs/build/man directories respectively.

The Services

Keystone is organized as a group of services exposed on one or many endpoints. Many of these services are used in a combined fashion by the frontend, for example an authenticate call will validate user/tenant credentials with the Identity service and, upon success, create and return a token with the Token service.

Identity

The Identity service provides auth credential validation and data about Users, Tenants and Roles, as well as any associated metadata.

In the basic case all this data is managed by the service, allowing the service to manage all the CRUD associated with the data.

In other cases, this data is pulled, by varying degrees, from an authoritative backend service. An example of this would be when backending on LDAP. See LDAP Backend below for more details.

Token

The Token service validates and manages Tokens used for authenticating requests once a user/tenant's credentials have already been verified.

Catalog

The Catalog service provides an endpoint registry used for endpoint discovery.

Policy

The Policy service provides a rule-based authorization engine and the associated rule management interface.

Data Model

Keystone was designed from the ground up to be amenable to multiple styles of backends and as such many of the methods and data types will happily accept more data than they know what to do with and pass them on to a backend.

There are a few main data types:

  • User: has account credentials, is associated with one or more tenants
  • Tenant: unit of ownership in openstack, contains one or more users
  • Role: a first-class piece of metadata associated with many user-tenant pairs.
  • Token: identifying credential associated with a user or user and tenant
  • Extras: bucket of key-value metadata associated with a user-tenant pair.
  • Rule: describes a set of requirements for performing an action.

While the general data model allows a many-to-many relationship between Users and Tenants and a many-to-one relationship between Extras and User-Tenant pairs, the actual backend implementations take varying levels of advantage of that functionality.

KVS Backend

A simple backend interface meant to be further backended on anything that can support primary key lookups, the most trivial implementation being an in-memory dict.

Supports all features of the general data model.

PAM Backend

Extra simple backend that uses the current system's PAM service to authenticate, providing a one-to-one relationship between Users and Tenants with the root User also having the 'admin' role.

Templated Backend

Largely designed for a common use case around service catalogs in the Keystone project, a Catalog backend that simply expands pre-configured templates to provide catalog data.

Example paste.deploy config (uses $ instead of % to avoid ConfigParser's interpolation):

[DEFAULT]
catalog.RegionOne.identity.publicURL = http://localhost:$(public_port)s/v2.0
catalog.RegionOne.identity.adminURL = http://localhost:$(public_port)s/v2.0
catalog.RegionOne.identity.internalURL = http://localhost:$(public_port)s/v2.0
catalog.RegionOne.identity.name = 'Identity Service'

Approach to CRUD

While it is expected that any "real" deployment at a large company will manage their users, tenants and other metadata in their existing user systems, a variety of CRUD operations are provided for the sake of development and testing.

CRUD is treated as an extension or additional feature to the core feature set in that it is not required that a backend support it.

Approach to Authorization (Policy)

Various components in the system require that different actions are allowed based on whether the user is authorized to perform that action.

For the purposes of Keystone Light there are only a couple levels of authorization being checked for:

  • Require that the performing user is considered an admin.
  • Require that the performing user matches the user being referenced.

Other systems wishing to use the policy engine will require additional styles of checks and will possibly write completely custom backends. Backends included in Keystone Light are:

Trivial True

Allows all actions.

Simple Match

Given a list of matches to check for, simply verify that the credentials contain the matches. For example:

credentials = {'user_id': 'foo', 'is_admin': 1, 'roles': ['nova:netadmin']}

# An admin only call:
policy_api.can_haz(('is_admin:1',), credentials)

# An admin or owner call:
policy_api.can_haz(('is_admin:1', 'user_id:foo'),
                   credentials)

# A netadmin call:
policy_api.can_haz(('roles:nova:netadmin',),
                   credentials)

Credentials are generally built from the user metadata in the 'extras' part of the Identity API. So, adding a 'role' to the user just means adding the role to the user metadata.

Capability RBAC

(Not yet implemented.)

Another approach to authorization can be action-based, with a mapping of roles to which capabilities are allowed for that role. For example:

credentials = {'user_id': 'foo', 'is_admin': 1, 'roles': ['nova:netadmin']}

# add a policy
policy_api.add_policy('action:nova:add_network', ('roles:nova:netadmin',))

policy_api.can_haz(('action:nova:add_network',), credentials)

In the backend this would look up the policy for 'action:nova:add_network' and then do what is effectively a 'Simple Match' style match against the creds.

Still To Do

  • LDAP backend.
  • Diablo migration.