This change works around https://github.com/coreos/rkt/issues/2630
Without this change, logs cannot reliably be collected for containers
with short lifetimes.
With this change, logs cannot be collected on rkt versions v1.6.0 and
before.
Automatic merge from submit-queue
kubelet e2e: set cpu/memory limits for docker 1.11
Docker 1.11 consumes more memory. Bump the limit to fix the tests. Also add
new limits for the 100-pod resource usage tracking test.
This fixes#26495
Automatic merge from submit-queue
AWS: ELB proxy protocol support via annotation service.beta.kubernetes.io/aws-load-balancer-proxy-protocol
This is a ~~work in progress~~ branch that adds support for the Proxy Protocol with Elastic Load Balancers. The proxy protocol is documented here: http://www.haproxy.org/download/1.5/doc/proxy-protocol.txt. It allows us to pass the "real ip" address of a client to pods behind services.
As it stands now, we create an ELB policy on the load balancer that enables the proxy protocol. We then enumerate each node port assigned to the load balancer and add our newly created policy to it. The manual process is documented here: http://docs.aws.amazon.com/ElasticLoadBalancing/latest/DeveloperGuide/enable-proxy-protocol.html
Right now, I’m looking to get some feedback on the approach before I dive too much deeper in the code. More precisely, I have questions regarding the following:
1) Right now I just check that a certain annotation exists on the service regardless of what its value is. Assuming we’re going to enable this feature via an annotation, what is the expected experience? This decision likely depends on the answers to the next questions.
2) Right now the implementation enables the proxy protocol on every ELB backend. The actual ELB API expects you to add the policy for each configured backend. Do we want the ability to configure the proxy protocol on a per service port basis? For example, if a service exposes TCP 80 and 443, would we want the ability to only enable the proxy protocol on port 443? Does this overcomplicate the implementation? If we wanted to go this direction we could do something like ...
```
{
"service.beta.kubernetes.io/aws-load-balancer-proxy-protocol": "tcp:80,tcp:443"
}
```
3) I avoided this because I was concerned with scope creep and our organization doesn’t need it, but could/should our implementation be adjusted to just handle ELB policies in general? I hadn’t used the ELB API until I started working on this branch so I don’t know how realistic this is. I also don't know how common this use case is as our organization has used our own load balancing setup prior to Kubernetes. This page has a couple of examples at the bottom: http://docs.aws.amazon.com/cli/latest/reference/elb/create-load-balancer-policy.html
cc @justinsb
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Automatic merge from submit-queue
Fix some gce-only tests to run on gke as well
Enable "Services should work after restarting apiserver [Disruptive]" and DaemonRestart tests, except the 2 that require master ssh access.
Move restart/upgrade related test helpers into their own file in framework package.
Add ELB proxy protocol support via the annotation
"service.beta.kubernetes.io/aws-load-balancer-proxy-protocol". This
allows servers like Nginx and Haproxy to retrieve the real IP address of
a remote client.
Automatic merge from submit-queue
AllocateOrOccupyCIDR returs quickly
Fix#26511.
AllocateOrOccupy is called before adding a Node to NCs cache. It turns out that sending an update to API server can take too long which will make NC think that given Node does not exist and all Pods from it will be removed.
The fix is to move the long part of the call (updating NodeSpec) to a separate go-routine. To prevent overloading the server and huge number of retries we limit the number of concurrent Update calls.
cc @zmerlynn @davidopp
Automatic merge from submit-queue
daemonset handle DeletedFinalStateUnknown
During an e2e run in OpenShift we ran into the DS controller panic when handling `DeletedFinalStateUnknown`. This PR checks for `DeletedFinalStateUnknown` and queues the embedded object if it is a `DaemonSet`.
@mikedanese - would you mind taking a look?
@deads2k
```
panic: interface conversion: interface is cache.DeletedFinalStateUnknown, not *extensions.DaemonSet
goroutine 4369 [running]:
k8s.io/kubernetes/pkg/controller/daemon.func·005(0x2f8a0c0, 0xc20b559680)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/daemon/controller.go:160 +0x50
k8s.io/kubernetes/pkg/controller/framework.ResourceEventHandlerFuncs.OnDelete(0xc20a0ae090, 0xc20a0ae0a0, 0xc20a0ae0b0, 0x2f8a0c0, 0xc20b559680)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/framework/controller.go:178 +0x41
k8s.io/kubernetes/pkg/controller/framework.(*ResourceEventHandlerFuncs).OnDelete(0xc20b8ebf20, 0x2f8a0c0, 0xc20b559680)
<autogenerated>:25 +0xb5
k8s.io/kubernetes/pkg/controller/framework.func·001(0x2f8a280, 0xc20b5522e0, 0x0, 0x0)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/framework/controller.go:248 +0x4be
k8s.io/kubernetes/pkg/controller/framework.(*Controller).processLoop(0xc20bb727e0)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/framework/controller.go:122 +0x6f
k8s.io/kubernetes/pkg/controller/framework.*Controller.(k8s.io/kubernetes/pkg/controller/framework.processLoop)·fm()
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/framework/controller.go:97 +0x27
k8s.io/kubernetes/pkg/util/wait.func·001()
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/util/wait/wait.go:66 +0x61
k8s.io/kubernetes/pkg/util/wait.JitterUntil(0xc209f8cfb8, 0x3b9aca00, 0x0, 0xc2080543c0)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/util/wait/wait.go:67 +0x8f
k8s.io/kubernetes/pkg/util/wait.Until(0xc209f8cfb8, 0x3b9aca00, 0xc2080543c0)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/util/wait/wait.go:47 +0x4a
k8s.io/kubernetes/pkg/controller/framework.(*Controller).Run(0xc20bb727e0, 0xc2080543c0)
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/framework/controller.go:97 +0x1fb
created by k8s.io/kubernetes/pkg/controller/daemon.(*DaemonSetsController).Run
/data/src/github.com/openshift/origin/Godeps/_workspace/src/k8s.io/kubernetes/pkg/controller/daemon/controller.go:212 +0xae
```
https://ci.openshift.redhat.com/jenkins/job/test_pull_requests_origin_check/1002/artifact/origin/artifacts/test-cmd/logs/openshift.log
Automatic merge from submit-queue
ScheduledJob validation
@erictune while playing earlier today I've noticed `suspend` isn't a pointer which requires it to be set. Additionally the validation for job selectors is too strict in that it requires the selector to match produced pods, which doesn't make sense for SJ, I've changed it to being forbidden to set entirely.
[]()
Automatic merge from submit-queue
Reduce volume controller sync period
fixes#24236 and most probably also fixes#25294.
Needs #25881! With the cache, binder is not affected by sync period. Without the cache, binding of 1000 PVCs takes more than 5 minutes (instead of ~70 seconds).
15 seconds were chosen by fair 2d10 roll :-)
Automatic merge from submit-queue
volume controller: Add cache with the latest version of PVs and PVCs
When the controller binds a PV to PVC, it saves both objects to etcd. However, there is still an old version of these objects in the controller Informer cache. So, when a new PVC comes, the PV is still seen as available and may get bound to the new PVC. This will be blocked by etcd, still, it creates unnecessary traffic that slows everything down.
To make everything worse, when periodic sync with the old PVC is performed, this PVC is seen by the controller as Pending (while it's already Bound on etcd) and will be bound to a different PV. Writing to this PV won't be blocked by etcd, only subsequent write of the PVC fails. So, the controller will need to roll back the PV in another transaction(s). The controller can keep itself pretty busy this way.
Also, we save bound PVs (and PVCs) as two transactions - we save say PV.Spec first and then .Status. The controller gets "PV.Spec updated" event from etcd and tries to fix the Status, as it seems to the controller it's outdated. This write again fails - there already is a correct version in etcd.
As we can't influence the Informer cache, it is read-only to the controller, this patch introduces second cache in the controller, which holds latest and greatest version on PVs and PVCs to prevent these useless writes to etcd . It gets updated with events from etcd *and* after etcd confirms successful save of PV/PVC modified by the controller.
The cache stores only *pointers* to PVs/PVCs, so in ideal case it shares the actual object data with the informer cache. They will diverge only for a short time when the controller modifies something and the informer cache did not get update events yet.
@kubernetes/sig-storage
