Added the capability to delete autoscaling policies by pattern, allowing
to for instance do:
```
DELETE _autoscaling/policy/*
```
to delete all autoscaling policies. If a wildcard is involved, no
matches are required.
Add a roles specification to autoscaling policies. This is used to map
the policy to a set of nodes governed by the policy. The list of roles
is mandatory when adding a policy, optional on updates.
This commit also removes the outer level "policy" element from autoscaling
policy PUT and GET requests.
Renamed decision API to capacity. Responses now prefer objects/maps over
arrays. Removed mention of tier, using policies as the outer map and
total for the policy-wide total capacity.
The autoscaling decision API now returns an absolute capacity,
and leaves the actual decision of whether a scale up or down
is needed to the orchestration system.
The decision API now returns both a tier and node level required
and current capacity as wells as a decider level breakdown of the
same though with in particular current memory still not populated.
Split the autoscaling decider into a service and configuration
in order to enable having additional context information available
in the service. Added AutoscalingDeciderContext holding generic
information all deciders are expected to need. Implemented GET
_autoscaling/decision
This commit is the first in a series of commits that introduces
autoscaling policies, and APIs for working with them. For now, we
introduce the basic infrastructure, and a single API for putting an
autoscaling policy. We will follow in rapid succession with APIs for
getting, and deleting autoscaling policies.
This is the first in a series of commits that will introduce the
autoscaling deciders framework. This commit introduces the basic
framework for representing autoscaling decisions.
The main purpose of this commit is to add a single autoscaling REST
endpoint skeleton, for the purpose of starting to build out the build
and testing infrastructure that will surround it. For example, rather
than commiting a fully-functioning autoscaling API, we introduce here
the skeleton so that we can start wiring up the build and testing
infrastructure, establish security roles/permissions, an so on. This
way, in a forthcoming PR that introduces actual functionality, that PR
will be smaller and have less distractions around that sort of
infrastructure.