Zane Bitter 7ef796bbcf Use group_regex to serialize scrubber tests
Instead of doing two separate test runs, use the group_regex option to
stestr to group tests that cannot be run in parallel into the same
worker.

Change-Id: I3d69d5c72d69484f4e1c9c0b11122d0cf3703d60
Related-Bug: #1768077
2018-06-07 09:25:04 -04:00
2018-06-05 02:08:48 +00:00
2014-02-11 12:00:44 +08:00
2018-05-21 09:57:58 +08:00
2017-05-25 23:13:21 +02:00
2012-01-03 10:14:01 -05:00
2015-03-25 11:21:16 +01:00
2017-03-04 01:43:26 +00:00

Team and repository tags

The following tags have been asserted for the Glance project:
"project:official",
"tc:approved-release",
"stable:follows-policy",
"tc:starter-kit:compute",
"vulnerability:managed",
"team:diverse-affiliation",
"assert:supports-upgrade",
"assert:follows-standard-deprecation".
Follow the link for an explanation of these tags.

Glance

Glance is a project that provides services and associated libraries to store, browse, share, distribute and manage bootable disk images, other data closely associated with initializing compute resources, and metadata definitions.

Use the following resources to learn more:

API

To learn how to use Glance's API, consult the documentation available online at:

Developers

For information on how to contribute to Glance, please see the contents of the CONTRIBUTING.rst in this repository.

Any new code must follow the development guidelines detailed in the HACKING.rst file, and pass all unit tests.

Further developer focused documentation is available at:

Operators

To learn how to deploy and configure OpenStack Glance, consult the documentation available online at:

In the unfortunate event that bugs are discovered, they should be reported to the appropriate bug tracker. You can raise bugs here:

Other Information

During each design summit, we agree on what the whole community wants to focus on for the upcoming release. You can see image service plans:

For more information about the Glance project please see:

Description
OpenStack Image Management (Glance)
Readme 131 MiB
Languages
Python 99.9%