Carlos Goncalves 2cfcd71a86 Fix load balancer update with provider filtered params
When only setting tags to an existing load balancer, the amphora driver
would try to apply QoS policy on VRRP ports even if no policy is
defined. This raised an NetworkException that led load balancers to go
into ERROR.

Task: 37589
Story: 2006922

Change-Id: I48315f8f293811e1d99584ea36da05c4211cf275
2020-02-26 09:09:31 -08:00
2017-04-30 08:36:44 +00:00
2019-07-22 19:18:40 +02:00
2019-05-04 18:28:55 -06:00
2019-04-19 19:36:42 +00:00
2016-12-15 00:48:02 +00:00
2019-09-19 13:12:37 -07:00
2020-01-16 11:32:03 -05:00
2017-03-02 11:50:57 +00:00
2019-12-02 12:08:19 -05:00
2019-12-02 12:08:19 -05:00

Team and repository tags

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Octavia

Latest Version

Octavia is an operator-grade open source scalable load balancer for use in large OpenStack deployments. It delivers load balancing services on amphorae and provides centralized command and control. Octavia is currently the reference backend for Neutron LBaaS. In the near future, Octavia is likely to become the standard OpenStack LBaaS API endpoint.

Octavia is distributed under the terms of the Apache License, Version 2.0. The full terms and conditions of this license are detailed in the LICENSE file.

Project resources

Developer documentation for the Octavia project is available at https://docs.openstack.org/octavia/latest/

Release notes for the Octavia project are available at https://docs.openstack.org/releasenotes/octavia/

The project source code repository is located at https://opendev.org/openstack/octavia

Project status, bugs, and requests for feature enhancements are tracked on https://storyboard.openstack.org/#!/project/openstack/octavia

For more information on project direction and guiding principles for contributors, please see the CONSTITUTION.rst file in this directory, or specifications in the specs/ sub-directory.

The project roadmap is available at https://wiki.openstack.org/wiki/Octavia/Roadmap

External Resources

Description
Load Balancing as a Service (LBaaS) for OpenStack
Readme 97 MiB
Languages
Python 97.5%
Shell 1.9%
Jinja 0.6%