According to AWS, the ELB healthy threshold is "Number of consecutive health check successes before declaring an EC2 instance healthy." It has an unusual interaction with Kubernetes, since all nodes will enter either an unhealthy state or a healthy state together depending on the service's healthiness as a whole.
We have observed that if our service goes down for the unhealthy threshold (which is 2 checks at 30 second intervals = 60 seconds), then the ELB will stop serving traffic to all nodes in the cluster, and will wait for the healthy threshold (currently 10 * 30 = 300 seconds) AFTER the service is restored to add back the cluster nodes, meaning it remains unreachable for an extra 300 seconds.
With the new settings, the ELB will continue to timeout dead nodes after 60 seconds, but will restore healthy nodes after 20 seconds. The minimum value for healthyThreshold is 2, and the minimum value for interval is 5 seconds. I went for 10 seconds instead of the minimum sort of arbitrarily because I was not sure how much this value may affect the scalability of clusters in EC2, as it does put some extra load on the kube-proxy.
We don't cope well if a PD is in multiple zones, but this is actually
fairly easy to detect. This is probably justified purely on the basis
that we never want to delete the wrong volume (DeleteDisk), but also
because this means that we now warn on creation if a disk is in multiple
zones (with the labeling admission controller).
This also means that with the scheduling predicate in place, that many
of our volume problems "go away" in practice: you still can't create or
delete a volume when it is ambiguous, but thereafter the volume will be
labeled with the zone, that will match it only to nodes with the same
zone, and then we query for the volume in that zone when we
attach/detach it.
This removes a panic I mistakenly introduced when an instance is not
found, and also restores the exact prior behaviour for
getInstanceByName, where it returns cloudprovider.InstanceNotFound when
the instance is not found.
We adapt the existing code to work across all zones in a region.
We require a feature-flag to enable Ubernetes-Lite
Reasons:
* There are some behavioural changes if users create volumes with
the same name in two zones.
* We don't want to make one API call per zone if we're not running
Ubernetes-Lite.
* Ubernetes-Lite is still experimental.
There isn't a parallel flag implemented for AWS, because at the moment
there would be no behaviour changes from this.
If a route already exists but is invalid (e.g. from a crash), we
automatically delete it before trying to create a route that would
otherwise conflict.
For AWS EBS, a volume can only be attached to a node in the same AZ.
The scheduler must therefore detect if a volume is being attached to a
pod, and ensure that the pod is scheduled on a node in the same AZ as
the volume.
So that the scheduler need not query the cloud provider every time, and
to support decoupled operation (e.g. bare metal) we tag the volume with
our placement labels. This is done automatically by means of an
admission controller on AWS when a PersistentVolume is created backed by
an EBS volume.
Support for tagging GCE PVs will follow.
Pods that specify a volume directly (i.e. without using a
PersistentVolumeClaim) will not currently be scheduled correctly (i.e.
they will be scheduled without zone-awareness).
This synchronizes Cinder with AWS EBS code, where we already tag volumes with
claim.Namespace and claim.Name (and pv.Name, as suggested in separate PR).
General purpose SSD ('gp2') volume type is just slighly more expensive than
Magnetic ('standard' / default in AWS), while the performance gain is pretty
significant.
So far, the volumes were created only during testing, where the extra cost
won't make any difference. In future, we plan to introduce QoS classes, where
users could choose SSD/Magnetic depending on their use cases.
'gp2' is just the default volume type for (hopefuly) short period before these
QoS classes are implemented.
From some reason, MiBs were used for public functions and AWS cloud provider
recalculated them to GiB. Let's expose what AWS really supports and don't hide
real allocation units.
k8s-merge-robot