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* This also adds fields to the instance view for tracking cpu and
memory usage as well as information on what the capacity ranges are
* Also adds a flag for enabling/disabling instances which removes them
from all queues and has them stop processing new work
* The capacity is now based almost exclusively on some value relative
to forks
* capacity_adjustment allows you to commit an instance to a certain
amount of forks, cpu focused or memory focused
* Each job run adds a single fork overhead (that's the reasoning
behind the +1)
* Switch policy router queue to not be "tower" so that we don't
fall into a chicken/egg scenario
* Show fixed policy list in serializer so a user can determine if
an instance is manually managed
* Change IG membership mixin to not directly handle applying topology
changes. Instead it just makes sure the policy instance list is
accurate
* Add create/delete hooks for instances and groups to trigger policy
re-evaluation
* Update policy algorithm for fairer distribution
* Fix an issue where CELERY_ROUTES wasn't renamed after celery/django
upgrade
* Update unit tests to be more explicit
* Update count calculations used by algorithm to only consider
non-manual instances
* Adding unit tests and fixture
* Don't propagate logging messages from awx.main.tasks and
awx.main.scheduler
* Use advisory lock to prevent policy eval conflicts
* Allow updating instance groups from view
* use embedded beat rather than standalone
* dynamically set celeryd hostname at runtime
* add embeded beat flag to celery startup
* Embedded beat mode routes will piggyback off of celery worker setup
signal
* Associating/Disassociating an instance with a group
* Triggering a topology rebuild on that change
* Force rabbitmq cleanup of offline nodes
* Automatically check for dependent service startup
* Fetch and set hostname for celery so it doesn't clobber other
celeries
* Rely on celery init signals to dyanmically set listen queues
* Removing old total_capacity instance manager property
* Based on the tower topology (Instance and InstanceGroup
relationships), have celery dyamically listen to queues on boot
* Add celery task capable of "refreshing" what queues each celeryd
worker listens to. This will be used to support changes in the topology.
* Cleaned up some celery task definitions.
* Converged wrongly targeted job launch/finish messages to 'tower'
queue, rather than a 1-off queue.
* Dynamically route celery tasks destined for the local node
* separate beat process
add support for separate beat process
If the "DTSTART" property is specified as a date with UTC time or a date with
local time and time zone reference, then the UNTIL rule part MUST be specified
as a date with UTC time.
