kubespray/docs/advanced/registry.md

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# Private Docker Registry in Kubernetes
Kubernetes offers an optional private Docker registry addon, which you can turn
on when you bring up a cluster or install later. This gives you a place to
store truly private Docker images for your cluster.
## How it works
The private registry runs as a `Pod` in your cluster. It does not currently
support SSL or authentication, which triggers Docker's "insecure registry"
logic. To work around this, we run a proxy on each node in the cluster,
exposing a port onto the node (via a hostPort), which Docker accepts as
"secure", since it is accessed by `localhost`.
## Turning it on
Some cluster installs (e.g. GCE) support this as a cluster-birth flag. The
`ENABLE_CLUSTER_REGISTRY` variable in `cluster/gce/config-default.sh` governs
whether the registry is run or not. To set this flag, you can specify
`KUBE_ENABLE_CLUSTER_REGISTRY=true` when running `kube-up.sh`. If your cluster
does not include this flag, the following steps should work. Note that some of
this is cloud-provider specific, so you may have to customize it a bit.
### Make some storage
The primary job of the registry is to store data. To do that we have to decide
where to store it. For cloud environments that have networked storage, we can
use Kubernetes's `PersistentVolume` abstraction. The following template is
expanded by `salt` in the GCE cluster turnup, but can easily be adapted to
other situations:
```yaml
kind: PersistentVolume
apiVersion: v1
metadata:
name: kube-system-kube-registry-pv
spec:
{% if pillar.get('cluster_registry_disk_type', '') == 'gce' %}
capacity:
storage: {{ pillar['cluster_registry_disk_size'] }}
accessModes:
- ReadWriteOnce
gcePersistentDisk:
pdName: "{{ pillar['cluster_registry_disk_name'] }}"
fsType: "ext4"
{% endif %}
```
If, for example, you wanted to use NFS you would just need to change the
`gcePersistentDisk` block to `nfs`. See
[here](https://kubernetes.io/docs/concepts/storage/volumes/) for more details on volumes.
Note that in any case, the storage (in the case the GCE PersistentDisk) must be
created independently - this is not something Kubernetes manages for you (yet).
### I don't want or don't have persistent storage
If you are running in a place that doesn't have networked storage, or if you
just want to kick the tires on this without committing to it, you can easily
adapt the `ReplicationController` specification below to use a simple
`emptyDir` volume instead of a `persistentVolumeClaim`.
## Claim the storage
Now that the Kubernetes cluster knows that some storage exists, you can put a
claim on that storage. As with the `PersistentVolume` above, you can start
with the `salt` template:
```yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: kube-registry-pvc
namespace: kube-system
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: {{ pillar['cluster_registry_disk_size'] }}
```
This tells Kubernetes that you want to use storage, and the `PersistentVolume`
you created before will be bound to this claim (unless you have other
`PersistentVolumes` in which case those might get bound instead). This claim
gives you the right to use this storage until you release the claim.
## Run the registry
Now we can run a Docker registry:
```yaml
apiVersion: v1
kind: ReplicationController
metadata:
name: kube-registry-v0
namespace: kube-system
labels:
k8s-app: registry
version: v0
spec:
replicas: 1
selector:
k8s-app: registry
version: v0
template:
metadata:
labels:
k8s-app: registry
version: v0
spec:
containers:
- name: registry
image: registry:2
resources:
limits:
cpu: 100m
memory: 100Mi
env:
- name: REGISTRY_HTTP_ADDR
value: :5000
- name: REGISTRY_STORAGE_FILESYSTEM_ROOTDIRECTORY
value: /var/lib/registry
volumeMounts:
- name: image-store
mountPath: /var/lib/registry
ports:
- containerPort: 5000
name: registry
protocol: TCP
volumes:
- name: image-store
persistentVolumeClaim:
claimName: kube-registry-pvc
```
*Note:* that if you have set multiple replicas, make sure your CSI driver has support for the `ReadWriteMany` accessMode.
## Expose the registry in the cluster
Now that we have a registry `Pod` running, we can expose it as a Service:
```yaml
apiVersion: v1
kind: Service
metadata:
name: kube-registry
namespace: kube-system
labels:
k8s-app: registry
kubernetes.io/name: "KubeRegistry"
spec:
selector:
k8s-app: registry
ports:
- name: registry
port: 5000
protocol: TCP
```
## Expose the registry on each node
Now that we have a running `Service`, we need to expose it onto each Kubernetes
`Node` so that Docker will see it as `localhost`. We can load a `Pod` on every
node by creating following daemonset.
```yaml
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: kube-registry-proxy
namespace: kube-system
labels:
k8s-app: kube-registry-proxy
version: v0.4
spec:
template:
metadata:
labels:
k8s-app: kube-registry-proxy
kubernetes.io/name: "kube-registry-proxy"
version: v0.4
spec:
containers:
- name: kube-registry-proxy
image: gcr.io/google_containers/kube-registry-proxy:0.4
resources:
limits:
cpu: 100m
memory: 50Mi
env:
- name: REGISTRY_HOST
value: kube-registry.kube-system.svc.cluster.local
- name: REGISTRY_PORT
value: "5000"
ports:
- name: registry
containerPort: 80
hostPort: 5000
```
When modifying replication-controller, service and daemon-set definitions, take
care to ensure *unique* identifiers for the rc-svc couple and the daemon-set.
Failing to do so will have register the localhost proxy daemon-sets to the
upstream service. As a result they will then try to proxy themselves, which
will, for obvious reasons, not work.
This ensures that port 5000 on each node is directed to the registry `Service`.
You should be able to verify that it is running by hitting port 5000 with a web
browser and getting a 404 error:
```ShellSession
$ curl localhost:5000
404 page not found
```
## Using the registry
To use an image hosted by this registry, simply say this in your `Pod`'s
`spec.containers[].image` field:
```yaml
image: localhost:5000/user/container
```
Before you can use the registry, you have to be able to get images into it,
though. If you are building an image on your Kubernetes `Node`, you can spell
out `localhost:5000` when you build and push. More likely, though, you are
building locally and want to push to your cluster.
You can use `kubectl` to set up a port-forward from your local node to a
running Pod:
```ShellSession
$ POD=$(kubectl get pods --namespace kube-system -l k8s-app=registry \
-o template --template '{{range .items}}{{.metadata.name}} {{.status.phase}}{{"\n"}}{{end}}' \
| grep Running | head -1 | cut -f1 -d' ')
$ kubectl port-forward --namespace kube-system $POD 5000:5000 &
```
Now you can build and push images on your local computer as
`localhost:5000/yourname/container` and those images will be available inside
your kubernetes cluster with the same name.