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add union registry for quota
Adds the ability to combine multiple quota registries together. Kube needs this for other types.
@derekwaynecarr
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Error out when any RS has more available pods then its spec replicas
Fixes#29559 (hopefully, if not the bot will open new issues for us)
@kubernetes/deployment
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pkg/various: plug leaky time.New{Timer,Ticker}s
According to the documentation for Go package time, `time.Ticker` and
`time.Timer` are uncollectable by garbage collector finalizers. They
leak until otherwise stopped. This commit ensures that all remaining
instances are stopped upon departure from their relative scopes.
Similar efforts were incrementally done in #29439 and #29114.
```release-note
* pkg/various: plugged various time.Ticker and time.Timer leaks.
```
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pkg/controller/node/nodecontroller: simplify mutex
Similar to #29598, we can rely on the zero-value construction behavior
to embed `sync.Mutex` into parent structs.
/CC: @saad-ali
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make the resource prefix in etcd configurable for cohabitation
This looks big, its not as bad as it seems.
When you have different resources cohabiting, the resource name used for the etcd directory needs to be configurable. HPA in two different groups worked fine before. Now we're looking at something like RC<->RS. They normally store into two different etcd directories. This code allows them to be configured to store into the same location.
To maintain consistency across all resources, I allowed the `StorageFactory` to indicate which `ResourcePrefix` should be used inside `RESTOptions` which already contains storage information.
@lavalamp affects cohabitation.
@smarterclayton @mfojtik prereq for our rc<->rs and d<->dc story.
For non-attachable volumes, do not call GetVolumeName on the plugin and instead
generate a unique name based on the identity of the pod and the name of the volume
within the pod.
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Add an Azure CloudProvider Implementation
This PR adds `Azure` as a cloudprovider provider for Kubernetes. It specifically adds support for native pod networking (via Azure User Defined Routes) and L4 Load Balancing (via Azure Load Balancers).
I did have to add `clusterName` as a parameter to the `LoadBalancers` methods. This is because Azure only allows one "LoadBalancer" object per set of backend machines. This means a single "LoadBalancer" object must be shared across the cluster. The "LoadBalancer" is named via the `cluster-name` parameter passed to `kube-controller-manager` so as to enable multiple clusters per resource group if the user desires such a configuration.
There are few things that I'm a bit unsure about:
1. The implementation of the `Instances` interface. It's not extensively documented, it's not really clear what the different functions are used for, and my questions on the ML didn't get an answer.
2. Counter to the comments on the `LoadBalancers` Interface, I modify the `api.Service` object in `EnsureLoadBalancerDeleted`, but not with the intention of affecting Kube's view of the Service. I simply do it so that I can remove the `Port`s on the `Service` object and then re-use my reconciliation logic that can handle removing stale/deleted Ports.
3. The logging is a bit verbose. I'm looking for guidance on the appropriate log level to use for the chattier bits.
Due to the (current) lack of Instance Metadata Service and lack of Virtual Machine Identity in Azure, the user is required to do a few things to opt-in to this provider. These things are called-out as they are in contrast to AWS/GCE:
1. The user must provision an Azure Active Directory ServicePrincipal with `Contributor` level access to the resource group that the cluster is deployed in. This creation process is documented [by Hashicorp](https://www.packer.io/docs/builders/azure-setup.html) or [on the MSDN Blog](https://blogs.msdn.microsoft.com/arsen/2016/05/11/how-to-create-and-test-azure-service-principal-using-azure-cli/).
2. The user must place a JSON file somewhere on each Node that conforms to the `AzureConfig` struct defined in `azure.go`. (This is automatically done in the Azure flavor of [Kubernetes-Anywhere](https://github.com/kubernetes/kubernetes-anywhere).)
3. The user must specify `--cloud-config=/path/to/azure.json` as an option to `kube-apiserver` and `kube-controller-manager` similarly to how the user would need to pass `--cloud-provider=azure`.
I've been running approximately this code for a month and a half. I only encountered one bug which has since been fixed and covered by a unit test. I've just deployed a new cluster (and a Type=LoadBalancer nginx Service) using this code (via `kubernetes-anywhere`) and have posted [the `kube-controller-manager` logs](https://gist.github.com/colemickens/1bf6a26e7ef9484a72a30b1fcf9fc3cb) for anyone who is interested in seeing the logs of the logic.
If you're interested in this PR, you can use the instructions in my [`azure-kubernetes-demo` repository](https://github.com/colemickens/azure-kubernetes-demo) to deploy a cluster with minimal effort via [`kubernetes-anywhere`](https://github.com/kubernetes/kubernetes-anywhere). (There is currently [a pending PR in `kubernetes-anywhere` that is needed](https://github.com/kubernetes/kubernetes-anywhere/pull/172) in conjuncture with this PR). I also have a pre-built `hyperkube` image: `docker.io/colemickens/hyperkube-amd64:v1.4.0-alpha.0-azure`, which will be kept in sync with the branch this PR stems from.
I'm hoping this can land in the Kubernetes 1.4 timeframe.
CC (potential code reviewers from Azure): @ahmetalpbalkan @brendandixon @paulmey
CC (other interested Azure folk): @brendandburns @johngossman @anandramakrishna @jmspring @jimzim
CC (others who've expressed interest): @codefx9 @edevil @thockin @rootfs
According to the documentation for Go package time, `time.Ticker` and
`time.Timer` are uncollectable by garbage collector finalizers. They
leak until otherwise stopped. This commit ensures that all remaining
instances are stopped upon departure from their relative scopes.
Automatic merge from submit-queue
To break the loop when object found in removeOrphanFinalizer()
To break the loop when object found in removeOrphanFinalizer()
Automatic merge from submit-queue
Allow shareable resources for admission control plugins.
Changes allow admission control plugins to share resources. This is done via new PluginInitialization structure. The structure can be extended for other resources, for now it is an shared informer for namespace plugins (NamespiceLifecycle, NamespaceAutoProvisioning, NamespaceExists).
If a plugins needs some kind of shared resource e.g. client, the client shall be added to PluginInitializer and Wants methods implemented to every plugin which will use it.
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controller/service: minor cleanup
1. always handle short case first for if statement
2. do not capitalize error message
3. put the mutex before the fields it protects
4. prefer switch over if elseif.
Automatic merge from submit-queue
use a separate queue for initial quota calculation
When the quota controller gets backed up on resyncs, it can take a long time to observe the first usage stats which are needed by the admission plugin. This creates a second queue to prioritize the initial calculation.
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Fix "PVC Volume not detached if pod deleted via namespace deletion" issue
Fixes#29051: "PVC Volume not detached if pod deleted via namespace deletion"
This PR:
* Fixes a bug in `desired_state_of_the_world_populator.go` to check the value of `exists` returned by the `podInformer` so that it can delete pods even if the delete event is missed (or fails).
* Reduces the desired state of the world populators sleep period from 5 min to 1 min (reducing the amount of time a volume would remain attached if a volume delete event is missed or fails).
Automatic merge from submit-queue
Allow mounts to run in parallel for non-attachable volumes
This PR:
* Fixes https://github.com/kubernetes/kubernetes/issues/28616
* Enables mount volume operations to run in parallel for non-attachable volume plugins.
* Enables unmount volume operations to run in parallel for all volume plugins.
* Renames `GoRoutineMap` to `GoroutineMap`, resolving a long outstanding request from @thockin: `"Goroutine" is a noun`
When a new rollout with a different size than the previous size of the
deployment is initiated then only the new replica set will notice the
new size. Old replica sets are not updated by the rollout path.
