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path: https://github.com/kubernetes/kubernetes/milestones/
- title: Contributing to Kubernetes Documentation
path: /editdocs/
- title: New Template Instructions
path: /docs/templatedemos/

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_includes/footer.html
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@ -24,6 +24,6 @@
<a href="https://github.com/kubernetes/kubernetes" class="button">Contribute to the K8s codebase</a>
</div>
</div>
<div id="miceType" class="center">&copy; {{ 'now' | date: "%Y" }} Kubernetes</div>
<div id="miceType" class="center">&copy; {{ 'now' | date: "%Y" }} The Kubernetes Authors | Distributed under <a href="https://github.com/kubernetes/kubernetes.github.io/blob/master/LICENSE" class="light-text">CC BY 4.0</a></div>
</main>
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@ -13,6 +13,7 @@
<script src="/js/jquery-ui.min.js"></script>
<script src="/js/script.js"></script>
<script src="/js/sweetalert.min.js"></script>
<script src="/js/bootstrap.min.js"></script>
<title>Kubernetes - {{ title }}</title>
</head>
<body>

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docs/admin/authentication.md
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@ -35,8 +35,8 @@ or be treated as an anonymous user.
## Authentication strategies
Kubernetes uses client certificates, bearer tokens, an authenticating proxy, or HTTP basic auth to
authenticate API requests through authentication plugins. As HTTP request are
made to the API server plugins attempts to associate the following attributes
authenticate API requests through authentication plugins. As HTTP requests are
made to the API server, plugins attempt to associate the following attributes
with the request:
* Username: a string which identifies the end user. Common values might be `kube-admin` or `jane@example.com`.
@ -420,7 +420,7 @@ enterprise directory, kerberos, etc.)
### Creating Certificates
When using client certificate authentication, you can generate certificates
using an existing deployment script or manually through `easyrsa` or `openssl.``
using an existing deployment script or manually through `easyrsa` or `openssl.`
#### Using an Existing Deployment Script

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docs/admin/node.md
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@ -11,44 +11,39 @@ assignees:
## What is a node?
`Node` is a worker machine in Kubernetes, previously known as `Minion`. Node
A `node` is a worker machine in Kubernetes, previously known as a `minion`. A node
may be a VM or physical machine, depending on the cluster. Each node has
the services necessary to run [Pods](/docs/user-guide/pods) and is managed by the master
components. The services on a node include docker, kubelet and network proxy. See
the services necessary to run [pods](/docs/user-guide/pods) and is managed by the master
components. The services on a node include Docker, kubelet and kube-proxy. See
[The Kubernetes Node](https://github.com/kubernetes/kubernetes/blob/{{page.githubbranch}}/docs/design/architecture.md#the-kubernetes-node) section in the
architecture design doc for more details.
## Node Status
Node status describes current status of a node. For now, there are the following
pieces of information:
A node's status is comprised of the following information.
### Node Addresses
### Addresses
The usage of these fields varies depending on your cloud provider or bare metal configuration.
* HostName: The hostname as reported by the node's kernel. Can be overridden via the kubelet `--hostname-override` parameter.
* ExternalIP: Typically the IP address of the node that is externally routable (available from outside the cluster).
* InternalIP: Typically the IP address of the node that is routable only within the cluster.
* ExternalIP: Generally the IP address of the node that is externally routable (available from outside the cluster)
### Phase
* InternalIP: Generally the IP address of the node that is routable only within the cluster
Deprecated: node phase is no longer used.
### Node Phase
Deprecated: Node Phase is no longer used
### Node Condition
### Condition
The `conditions` field describes the status of all `Running` nodes.
| Node Condition | Description |
|----------------|-------------|
| `OutOfDisk` | `True` if insufficient free space on the node for adding new pods, otherwise `False` |
| `Ready` | `True` if the node is healthy ready to accept pods, `False` if the node is not healthy and is not accepting pods, and `Unknown` if the Node Controller has not heard from the node in the last 40 seconds |
| `OutOfDisk` | `True` if there is insufficient free space on the node for adding new pods, otherwise `False` |
| `Ready` | `True` if the node is healthy and ready to accept pods, `False` if the node is not healthy and is not accepting pods, and `Unknown` if the node controller has not heard from the node in the last 40 seconds |
Node condition is represented as a JSON object. For example, the following response describes a healthy node:
conditions mean the node is in sane state:
The node condition is represented as a JSON object. For example, the following response describes a healthy node.
```json
"conditions": [
@ -59,28 +54,31 @@ conditions mean the node is in sane state:
]
```
If the Status of the Ready condition
is Unknown or False for more than five minutes, then all of the Pods on the node are terminated by the Node Controller.
If the Status of the Ready condition is Unknown or False for more than five
minutes, then all of the pods on the node are terminated by the node
controller. (The timeout length is configurable by the `--pod-eviction-timeout`
parameter on the controller manager.)
### Node Capacity
### Capacity
Describes the resources available on the node: CPUs, memory and the maximum
Describes the resources available on the node: CPU, memory and the maximum
number of pods that can be scheduled onto the node.
### Node Info
### Info
General information about the node, for instance kernel version, Kubernetes version
(kubelet version, kube-proxy version), docker version (if used), OS name.
General information about the node, such as kernel version, Kubernetes version
(kubelet and kube-proxy version), Docker version (if used), OS name.
The information is gathered by Kubelet from the node.
## Node Management
## Management
Unlike [Pods](/docs/user-guide/pods) and [Services](/docs/user-guide/services), a Node is not inherently
created by Kubernetes: it is either taken from cloud providers like Google Compute Engine,
or from your pool of physical or virtual machines. What this means is that when
Kubernetes creates a node, it is really just creating an object that represents the node in its internal state.
After creation, Kubernetes will check whether the node is valid or not.
For example, if you try to create a node from the following content:
Unlike [pods](/docs/user-guide/pods) and [services](/docs/user-guide/services),
a node is not inherently created by Kubernetes: it is created externally by cloud
providers like Google Compute Engine, or exists in your pool of physical or virtual
machines. What this means is that when Kubernetes creates a node, it is really
just creating an object that represents the node. After creation, Kubernetes
will check whether the node is valid or not. For example, if you try to create
a node from the following content:
```json
{
@ -95,117 +93,127 @@ For example, if you try to create a node from the following content:
}
```
Kubernetes will create a Node object internally (the representation), and
validate the node by health checking based on the `metadata.name` field: we
assume `metadata.name` can be resolved. If the node is valid, i.e. all necessary
services are running, it is eligible to run a Pod; otherwise, it will be
ignored for any cluster activity, until it becomes valid. Note that Kubernetes
will keep the object for the invalid node unless it is explicitly deleted by the client, and it will keep
checking to see if it becomes valid.
Kubernetes will create a node object internally (the representation), and
validate the node by health checking based on the `metadata.name` field (we
assume `metadata.name` can be resolved). If the node is valid, i.e. all necessary
services are running, it is eligible to run a pod; otherwise, it will be
ignored for any cluster activity until it becomes valid. Note that Kubernetes
will keep the object for the invalid node unless it is explicitly deleted by
the client, and it will keep checking to see if it becomes valid.
Currently, there are three components that interact with the Kubernetes node interface: Node Controller, Kubelet, and kubectl.
Currently, there are three components that interact with the Kubernetes node
interface: node controller, kubelet, and kubectl.
### Node Controller
Node controller is a component in Kubernetes master which manages Node
objects.
The node controller is a Kubernetes master component which manages various
aspects of nodes.
Node controller has mutliple roles in Node's life. First is assigning a CIDR block to
the Node when it is registered (if CIDR assignment is turned on). Second is keeping the
node controller's list of nodes up to date with the cloud provider's list of available
machines. When running in cloud environment whenever a node is unhealthy node controller
asks cloud provider if the VM for that node is still available. If not, the node
The node controller has multiple roles in a node's life. The first is assigning a
CIDR block to the node when it is registered (if CIDR assignment is turned on).
The second is keeping the node controller's internal list of nodes up to date with
the cloud provider's list of available machines. When running in a cloud
environment, whenever a node is unhealthy the node controller asks the cloud
provider if the VM for that node is still available. If not, the node
controller deletes the node from its list of nodes.
Third responsibiliy is monitoring Node's health. Node controller is responsible for updating
the NodeReady condition of NodeStatus to ConditionUnknown when a node becomes unreachable
(i.e. node controller stops receiving heartbeats e.g. due to the node being down), and then
later evicting all the pods from the node (using graceful termination) if the node continues
to be unreachable (the current timeouts are 40s to start reporting ConditionUnknown and 5m
after that to start evicting pods). Node controller checks the state of each node every
`--node-monitor-period` seconds.
The third is monitoring the nodes' health. The node controller is
responsible for updating the NodeReady condition of NodeStatus to
ConditionUnknown when a node becomes unreachable (i.e. the node controller stops
receiving heartbeats for some reason, e.g. due to the node being down), and then later evicting
all the pods from the node (using graceful termination) if the node continues
to be unreachable. (The default timeouts are 40s to start reporting
ConditionUnknown and 5m after that to start evicting pods.) The node controller
checks the state of each node every `--node-monitor-period` seconds.
In 1.4 release we updated the logic of node controller to better handle cases when a
big number of Nodes have problems with reaching the master machine (e.g. because
master machine has networking problem). Starting with 1.4 node controller will look at the
state of all Nodes in the cluster when making a decision about pod eviction.
In Kubernetes 1.4, we updated the logic of the node controller to better handle
cases when a big number of nodes have problems with reaching the master
(e.g. because the master has networking problem). Starting with 1.4, the node
controller will look at the state of all nodes in the cluster when making a
decision about pod eviction.
In most cases, node controller limits the eviction rate to `--node-eviction-rate` (default 0.1)
per second, meaning it won't evict pods from more than 1 node per 10 seconds.
In most cases, node controller limits the eviction rate to
`--node-eviction-rate` (default 0.1) per second, meaning it won't evict pods
from more than 1 node per 10 seconds.
The node eviction behavior changes when a node in a given availability zone becomes unhealthy,
node controller checks what percentage of nodes in the zone are unhealthy (NodeReady condition
is ConditionUnknown or ConditionFalse) at the same time. If the fraction of unhealthy nodes is
at least `--unhealthy-zone-threshold` (default 0.55) then the eviction rate is reduced: if
the cluster is small (i.e. has less than or equal to `--large-cluster-size-threshold`
nodes - default 50) then evictions are stopped, otherwise the eviction rate is reduced to
`--secondary-node-eviction-rate` (default 0.01) per second. The reason these policies are
implemented per availability zone is because one availability zone might become partitioned
from the master while the others remain connected. If your cluster does not span multiple cloud
provider availability zones, then there is only one availability zone, namely the whole cluster.
The node eviction behavior changes when a node in a given availability zone
becomes unhealthy. The node controller checks what percentage of nodes in the zone
are unhealthy (NodeReady condition is ConditionUnknown or ConditionFalse) at
the same time. If the fraction of unhealthy nodes is at least
`--unhealthy-zone-threshold` (default 0.55) then the eviction rate is reduced:
if the cluster is small (i.e. has less than or equal to
`--large-cluster-size-threshold` nodes - default 50) then evictions are
stopped, otherwise the eviction rate is reduced to
`--secondary-node-eviction-rate` (default 0.01) per second. The reason these
policies are implemented per availability zone is because one availability zone
might become partitioned from the master while the others remain connected. If
your cluster does not span multiple cloud provider availability zones, then
there is only one availability zone (the whole cluster).
A key reason for spreading your nodes across availability zones is so that workload can be
shifted to healthy zones when one entire zone goes down. To enable this behavior, if all
nodes in a zone are unhealthy then node controller evicts at the normal rate `--node-eviction-rate`.
The corner case for that is when all zones are completely unhealthy (i.e. there's no healthy node in
the cluster). In such case node controller assumes that there's some problem with master machine
connectivity and stops all evictions until any connectivity is restored.
A key reason for spreading your nodes across availability zones is so that the
workload can be shifted to healthy zones when one entire zone goes down.
Therefore, if all nodes in a zone are unhealthy then node controller evicts at
the normal rate `--node-eviction-rate`. The corner case is when all zones are
completely unhealthy (i.e. there are no healthy nodes in the cluster). In such
case, the node controller assumes that there's some problem with master
connectivity and stops all evictions until some connectivity is restored.
### Self-Registration of Nodes
When kubelet flag `--register-node` is true (the default), the kubelet will attempt to
When the kubelet flag `--register-node` is true (the default), the kubelet will attempt to
register itself with the API server. This is the preferred pattern, used by most distros.
For self-registration, the kubelet is started with the following options:
- `--api-servers=` tells the kubelet the location of the apiserver.
- `--kubeconfig` tells kubelet where to find credentials to authenticate itself to the apiserver.
- `--cloud-provider=` tells the kubelet how to talk to a cloud provider to read metadata about itself.
- `--register-node` tells the kubelet to create its own node resource.
- `--api-servers=` - Location of the apiservers.
- `--kubeconfig=` - Path to credentials to authenticate itself to the apiserver.
- `--cloud-provider=` - How to talk to a cloud provider to read metadata about itself.
- `--register-node` - Automatically register with the API server.
Currently, any kubelet is authorized to create/modify any node resource, but in practice it only creates/modifies
its own. (In the future, we plan to limit authorization to only allow a kubelet to modify its own Node resource.)
its own. (In the future, we plan to only allow a kubelet to modify its own node resource.)
#### Manual Node Administration
A cluster administrator can create and modify Node objects.
A cluster administrator can create and modify node objects.
If the administrator wishes to create node objects manually, set kubelet flag
If the administrator wishes to create node objects manually, set the kubelet flag
`--register-node=false`.
The administrator can modify Node resources (regardless of the setting of `--register-node`).
Modifications include setting labels on the Node, and marking it unschedulable.
The administrator can modify node resources (regardless of the setting of `--register-node`).
Modifications include setting labels on the node and marking it unschedulable.
Labels on nodes can be used in conjunction with node selectors on pods to control scheduling,
e.g. to constrain a Pod to only be eligible to run on a subset of the nodes.
e.g. to constrain a pod to only be eligible to run on a subset of the nodes.
Making a node unscheduleable will prevent new pods from being scheduled to that
node, but will not affect any existing pods on the node. This is useful as a
preparatory step before a node reboot, etc. For example, to mark a node
Marking a node as unscheduleable will prevent new pods from being scheduled to that
node, but will not affect any existing pods on the node. This is useful as a
preparatory step before a node reboot, etc. For example, to mark a node
unschedulable, run this command:
```shell
kubectl patch nodes $NODENAME -p '{"spec": {"unschedulable": true}}'
kubectl cordon $NODENAME
```
Note that pods which are created by a daemonSet controller bypass the Kubernetes scheduler,
and do not respect the unschedulable attribute on a node. The assumption is that daemons belong on
and do not respect the unschedulable attribute on a node. The assumption is that daemons belong on
the machine even if it is being drained of applications in preparation for a reboot.
### Node capacity
The capacity of the node (number of cpus and amount of memory) is part of the node resource.
Normally, nodes register themselves and report their capacity when creating the node resource. If
The capacity of the node (number of cpus and amount of memory) is part of the node object.
Normally, nodes register themselves and report their capacity when creating the node object. If
you are doing [manual node administration](#manual-node-administration), then you need to set node
capacity when adding a node.
The Kubernetes scheduler ensures that there are enough resources for all the pods on a node. It
checks that the sum of the limits of containers on the node is no greater than the node capacity. It
includes all containers started by kubelet, but not containers started directly by docker, nor
includes all containers started by the kubelet, but not containers started directly by Docker nor
processes not in containers.
If you want to explicitly reserve resources for non-Pod processes, you can create a placeholder
pod. Use the following template:
If you want to explicitly reserve resources for non-pod processes, you can create a placeholder
pod. Use the following template:
```yaml
apiVersion: v1

2
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@ -43,6 +43,7 @@ killed for this purpose.
Rescheduler doesn't have any user facing configuration (component config) or API.
It's enabled by default. It can be disabled:
* during cluster setup by setting `ENABLE_RESCHEDULER` flag to `false`
* on running cluster by deleting its manifest from master node
(default path `/etc/kubernetes/manifests/rescheduler.manifest`)
@ -51,6 +52,7 @@ It's enabled by default. It can be disabled:
To be critical an add-on has to run in `kube-system` namespace (cofigurable via flag)
and have the following annotations specified:
* `scheduler.alpha.kubernetes.io/critical-pod` set to empty string
* `scheduler.alpha.kubernetes.io/tolerations` set to `[{"key":"CriticalAddonsOnly", "operator":"Exists"}]`

3
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@ -1,4 +1,7 @@
---
redirect_from:
- /docs/templatedemos/
- /docs/templatedemos.html
---
<!--<html>

55
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@ -14,20 +14,31 @@ docs, follow the instructions on
{% capture body %}
## Documentation formatting standards
### Documentation formatting standards
### Capitalize API objects
#### Use Camel Case for API objects
Capitalize the names of API objects. Refer to API objects without saying
"object."
When you refer to an API object, use the same uppercase and lowercase letters
that are used in the actual object name. Typically, the names of API
objects use
[camel case](https://en.wikipedia.org/wiki/Camel_case).
Don't split the API object name into separate words. For example, use
PodTemplateList, not Pod Template List.
Refer to API objects without saying "object," unless omitting "object"
leads to an awkward construction.
<table>
<tr><th>Do</th><th>Don't</th></tr>
<tr><td>The Pod has two Containers.</td><td>The pod has two containers.</td></tr>
<tr><td>The Deployment is responsible for ...</td><td>The Deployment object is responsible for ...</td></tr>
<tr><td>A PodList is a list of Pods.</td><td>A Pod List is a list of pods.</td></tr>
<tr><td>The two ContainerPorts ...</td><td>The two ContainerPort objects ...</td></tr>
<tr><td>The two ContainerStateTerminated objects ...</td><td>The two ContainerStateTerminateds ...</td></tr>
</table>
### Use angle brackets for placeholders
#### Use angle brackets for placeholders
Use angle brackets for placeholders. Tell the reader what a placeholder
represents.
@ -38,7 +49,7 @@ represents.
where `<pod-name>` is the name of one of your pods.
### Use bold for user interface elements
#### Use bold for user interface elements
<table>
<tr><th>Do</th><th>Don't</th></tr>
@ -46,7 +57,7 @@ represents.
<tr><td>Select <b>Other</b>.</td><td>Select 'Other'.</td></tr>
</table>
### Use italics to define or introduce new terms
#### Use italics to define or introduce new terms
<table>
<tr><th>Do</th><th>Don't</th></tr>
@ -54,7 +65,7 @@ represents.
<tr><td>These components form the <i>control plane.</i></td><td>These components form the <b>control plane.</b></td></tr>
</table>
### Use code style for filenames, directories, and paths
#### Use code style for filenames, directories, and paths
<table>
<tr><th>Do</th><th>Don't</th></tr>
@ -63,9 +74,9 @@ represents.
<tr><td>Open the <code>/_data/concepts.yaml</code> file.</td><td>Open the /_data/concepts.yaml file.</td></tr>
</table>
## Code snippet formatting
### Code snippet formatting
### Use code style for inline code and commands
#### Use code style for inline code and commands
For inline code in an HTML document, use the `<code>` tag. In a Markdown
document, use the backtick (`).
@ -76,14 +87,14 @@ document, use the backtick (`).
<tr><td>The <code>kubectl run</code> command creates a Deployment.</td><td>The "kubectl run" command creates a Deployment.</td></tr>
</table>
### Don't include the command prompt
#### Don't include the command prompt
<table>
<tr><th>Do</th><th>Don't</th></tr>
<tr><td>kubectl get pods</td><td>$ kubectl get pods</td></tr>
</table>
### Separate commands from output
#### Separate commands from output
Verify that the pod is running on your chosen node:
@ -105,11 +116,11 @@ A list of Kubernetes-specific terms and words to be used consistently across the
</table>{% endcomment %}
## Content best practices
### Content best practices
This section contains suggested best practices for clear, concise, and consistent content.
### Use present tense
#### Use present tense
<table>
<tr><th>Do</th><th>Don't</th></tr>
@ -119,7 +130,7 @@ This section contains suggested best practices for clear, concise, and consisten
Exception: Use future or past tense if it is required to convey the correct
meaning.
### Use active voice
#### Use active voice
<table>
<tr><th>Do</th><th>Don't</th></tr>
@ -129,7 +140,7 @@ meaning.
Exception: Use passive voice if active voice leads to an awkward construction.
### Use simple and direct language
#### Use simple and direct language
Use simple and direct language. Avoid using unnecessary phrases, such as saying "please."
@ -141,7 +152,7 @@ Use simple and direct language. Avoid using unnecessary phrases, such as saying
</table>
### Address the reader as "you"
#### Address the reader as "you"
<table>
<tr><th>Do</th><th>Don't</th></tr>
@ -149,9 +160,9 @@ Use simple and direct language. Avoid using unnecessary phrases, such as saying
<tr><td>In the preceding output, you can see...</td><td>In the preceding output, we can see ...</td></tr>
</table>
## Patterns to avoid
### Patterns to avoid
### Avoid using "we"
#### Avoid using "we"
Using "we" in a sentence can be confusing, because the reader might not know
whether they're part of the "we" you're describing.
@ -163,7 +174,7 @@ whether they're part of the "we" you're describing.
<tr><td>This page teaches you how to use pods.</td><td>In this page, we are going to learn about pods.</td></tr>
</table>
### Avoid jargon and idioms
#### Avoid jargon and idioms
Some readers speak English as a second language. Avoid jargon and idioms to help make their understanding easier.
@ -173,13 +184,13 @@ Some readers speak English as a second language. Avoid jargon and idioms to help
<tr><td>Create a new cluster.</td><td>Turn up a new cluster.</td></tr>
</table>
### Avoid statements about the future
#### Avoid statements about the future
Avoid making promises or giving hints about the future. If you need to talk about
an alpha feature, put the text under a heading that identifies it as alpha
information.
### Avoid statements that will soon be out of date
#### Avoid statements that will soon be out of date
Avoid words like "currently" and "new." A feature that is new today might not be
considered new in a few months.

4
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@ -27,7 +27,7 @@ a Kubernetes cluster from scratch.
### Local-machine Solutions
[Minikube](/docs/getting-started-guides/minikube/) is the recommended method for you to create a single node kubernetes cluster locally for purposes of development and testing. Setup is completely automated and doesn't require a cloud provider account.
[Minikube](/docs/getting-started-guides/minikube/) is the recommended method for you to create a single node kubernetes cluster locally for purposes of development and testing. Setup is completely automated and doesn't require a cloud provider account.
Use the [Minikube getting started guide](/docs/getting-started-guides/minikube/) to try it out.
@ -45,6 +45,8 @@ clusters.
[Platform9](https://platform9.com/products/kubernetes/) offers managed Kubernetes on-premises or any public cloud, and provides 24/7 health monitoring and alerting.
[OpenShift Dedicated](https://www.openshift.com/dedicated/) offers managed Kubernetes clusters powered by OpenShift and [OpenShift Online](https://www.openshift.com/features/) provides free hosted access for Kubernetes applications.
### Turn-key Cloud Solutions
These solutions allow you to create Kubernetes clusters on a range of Cloud IaaS providers with only a

3
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@ -10,8 +10,9 @@ In this article, we assume a Kubernetes cluster has been created with network po
* [Calico](/docs/getting-started-guides/network-policy/calico/)
* [Romana](/docs/getting-started-guides/network-policy/romana/)
* [Weave Net](/docs/getting-started-guides/network-policy/weave/)
The reference implementation is [Calico](/docs/getting-started-guides/network-policy/calico) running on GCE.
Add-ons are sorted alphabetically - the ordering does not imply any preferential status.
The following example walkthrough will work on a Kubernetes cluster using any of the listed providers.

11
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@ -0,0 +1,11 @@
---
assignees:
- bboreham
---
The [Weave Net Addon](https://www.weave.works/docs/net/latest/kube-addon/) for Kubernetes comes with a Network Policy Controller.
This component automatically monitors Kubernetes for any NetworkPolicy annotations on all namespaces, and configures `iptables` rules to allow or block traffic as directed by the policies.
Once you have installed the Weave Net Addon you can follow the [NetworkPolicy gettting started guide](/docs/getting-started-guides/network-policy/walkthrough) to try out Kubernetes NetworkPolicy.

2
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@ -340,7 +340,7 @@ We can now build and publish a new container image to the registry with an incre
```shell
docker build -t gcr.io/$PROJECT_ID/hello-node:v2 .
gcloud docker push gcr.io/$PROJECT_ID/hello-node:v2
gcloud docker -- push gcr.io/$PROJECT_ID/hello-node:v2
```
Building and pushing this updated image should be much quicker as we take full advantage of the Docker cache.

3
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@ -25,8 +25,7 @@ for database debugging.
1. Create a pod:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tasks/access-application-cluster/redis-master.yaml
kubectl create -f http://k8s.io/docs/tasks/access-application-cluster/redis-master.yaml
The output of a successful command verifies that the pod was created:

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@ -59,8 +59,7 @@ a `disktype=ssd` label.
1. Use the configuration file to create a pod that will get scheduled on your
chosen node:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tasks/administer-cluster/pod.yaml
kubectl create -f http://k8s.io/docs/tasks/administer-cluster/pod.yaml
1. Verify that the pod is running on your chosen node:

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@ -43,8 +43,7 @@ for the `Pod`:
1. Create a Pod based on the YAML configuration file:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tasks/configure-pod-container/cpu-ram.yaml
kubectl create -f http://k8s.io/docs/tasks/configure-pod-container/cpu-ram.yaml
1. Display information about the pod:

3
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@ -39,8 +39,7 @@ file for the Pod defines a command and two arguments:
1. Create a Pod based on the YAML configuration file:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tasks/configure-pod-container/commands.yaml
kubectl create -f http://k8s.io/docs/tasks/configure-pod-container/commands.yaml
1. List the running Pods:

3
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@ -33,8 +33,7 @@ Pod:
1. Create a Pod based on the YAML configuration file:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tasks/configure-pod-container/envars.yaml
kubectl create -f http://k8s.io/docs/tasks/configure-pod-container/envars.yaml
1. List the running Pods:

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@ -32,12 +32,11 @@ In this exercise, you create a Pod that runs one container.
The configuration file specifies a command that runs when
the container starts.
{% include code.html language="yaml" file="termination.yaml" ghlink="/docs/tasks/debug-pod-container/termination.yaml" %}
{% include code.html language="yaml" file="termination.yaml" ghlink="/docs/tasks/debug-application-cluster/termination.yaml" %}
1. Create a Pod based on the YAML configuration file:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tasks/debug-pod-container/termination.yaml
kubectl create -f http://k8s.io/docs/tasks/debug-application-cluster/termination.yaml
In the YAML file, in the `cmd` and `args` fields, you can see that the
container sleeps for 10 seconds and then writes "Sleep expired" to
@ -70,7 +69,7 @@ the container starts.
1. Use a Go template to filter the output so that it includes
only the termination message:
```
{% raw %} kubectl get pod termination-demo -o go-template="{{range .status.containerStatuses}}{{.lastState.terminated.message}}{{end}}"{% endraw %}
```
@ -99,7 +98,7 @@ Set `terminationMessagePath` as shown here:
{% capture whatsnext %}
* See the `terminationMessagePath` field in
* See the `terminationMessagePath` field in
[Container](/docs/api-reference/v1/definitions#_v1_container).
* Learn about [retrieving logs](/docs/user-guide/logging/).
* Learn about [Go templates](https://golang.org/pkg/text/template/).

8
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@ -1,7 +1,9 @@
---
---
The Tasks section of the Kubernetes documentation is a work in progress
This section of the Kubernetes documentation contains pages that
show how to do individual tasks. A task page shows how to do a
single thing, typically by giving a short sequence of steps.
#### Configuring Pods and Containers
@ -13,6 +15,10 @@ The Tasks section of the Kubernetes documentation is a work in progress
* [Using Port Forwarding to Access Applications in a Cluster](/docs/tasks/access-application-cluster/port-forward-access-application-cluster/)
#### Debugging Applications in a Cluster
* [Determining the Reason for Pod Failure](/docs/tasks/debug-application-cluster/determine-reason-pod-failure/)
#### Accessing the Kubernetes API
* [Using an HTTP Proxy to Access the Kubernetes API](/docs/tasks/access-kubernetes-api/http-proxy-access-api)

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@ -1,3 +0,0 @@
assignees:
- pwittrock

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@ -1,3 +0,0 @@
---
---
{% include templates/concept-overview.md %}

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@ -1,6 +0,0 @@
---
assignees:
- bgrant0607
---
{% include templates/kubectl.md %}

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@ -1,3 +0,0 @@
---
---
{% include templates/landing-page.md %}

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@ -1,3 +0,0 @@
---
---
{% include templates/task.md %}

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@ -1,80 +0,0 @@
---
---
{% assign concept="Pod" %}
{% capture what_is %}
A pod is the vehicle for running containers in Kubernetes. A pod consists of:
- One or more containers
- An IP address that is unique within the cluster
- Optionally: Environment variables, storage volumes, and enterprise features (such as health checking)
Resources are shared amongst containers in the pod. Containers within a pod also share an IP address and port space, and can find each other via localhost, or interprocess communications (such as semaphores).
![Pod diagram](/images/docs/pod-overview.svg){: style="max-width: 25%" }
{% comment %}https://drive.google.com/open?id=1pQe4-s76fqyrzB8f3xoJo4MPLNVoBlsE1tT9MyLNINg{% endcomment %}
{% endcapture %}
{% capture when_to_use %}
Pods are used any time you need a container to be run. However, they are rarely created by a user, and are instead automatically created by controllers such as jobs, replication controllers, deployments, daemon set. The following table describes the strategy each controller uses to create pods.
| Controller | Usage Strategy |
|------------|----------------|
| Deployment | For running pods as a continuous and healthy application |
| Replication Controller | Used for the same purpose as Deployments (superseded Replication Controllers) |
| Jobs | For running pods "to completion" (which are then shut down) |
| Daemon Set | Mainly for performing operations on any nodes that match given parameters |
{% endcapture %}
{% capture when_not_to_use %}
Do not use pods directly. Pods should always be managed by a controller.
{% endcapture %}
{% capture status %}
To retrieve the status of a pod, run the following command:
```shell
kubectl get pod <name>
```
| Return Value | Description |
|--------------|-------------|
| `READY` | Describes the number of containers that are ready to receive traffic. |
| `STATUS` | A value from the `PodPhase` enum describing the current status of the pod. Can be `Running`, `Pending`, `Succeeded`, `Failed`, and `Unknown`. |
TODO: Link to refpage for `kubectl get pod`
To get a full description of a pod, including past events, run the following command:
```shell
kubectl describe pod <name>
```
TODO: Link to refpage for `kubectl describe pod`
#### Possible status results
| Value | Description |
|------------|----------------|
| Deployment | For running pods as a continuous and healthy application |
| Replication Controller | Used for the same purpose as Deployments (superseded Replication Controllers) |
| Jobs | For running pods "to completion" (which are then shut down) |
| Daemon Set | Mainly for performing operations on any nodes that match given parameters |
{% endcapture %}
{% capture usage %}
Pods are defined when configuring the controller of your choice. In controller specifications,
the parts that define the contents of the pod are inside the `template:` section.
```yaml
YAML EXAMPLE HERE
```
{% endcapture %}
{% include templates/concept-overview.md %}

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@ -1,249 +0,0 @@
---
assignees:
- pwittrock
---
* TOC
{:toc}
## Before you Begin: Get the docs code checked out locally
Check out the kubernetes/kubernetes.github.io repo and the docsv2 branch.
### Step 1: Fork and Clone the repo
- Fork [kubernetes/kubernetes.github.io](https://github.com/kubernetes/kubernetes.github.io)
- [Setup your GitHub authentication using ssh](https://help.github.com/articles/generating-an-ssh-key/)
- Clone the repo under ~/go/src/k8s.io
```shell
cd ~/go/src/k8s.io
git clone git@github.com:<your-github-username>/kubernetes.github.io
cd kubernetes.github.io
git remote add upstream https://github.com/kubernetes/kubernetes.github.io.git
```
### Step 2: Switch to the docsv2 branch
Docs v2 development is being performed in the `docsv2` branch. This is the branch
you want to be working from.
From ~/go/src/k8s.io/kubernetes.github.io:
```shell
git checkout -b docsv2
git fetch upstream
git reset --hard upstream/docsv2
```
### Step 3: Make sure you can serve rendered docs
One option is to simply rename your fork's repo on GitHub.com to `yourusername.github.io`, which will auto-stage your commits at that URL.
Or, just use Docker! Run this from within your local `kubernetes.github.io` directory and you should be good:
```shell
docker run -ti --rm -v "$PWD":/k8sdocs -p 4000:4000 gcr.io/google-samples/k8sdocs:1.0
```
The site will then be viewable at [http://localhost:4000/](http://localhost:4000/).
Or, you can [follow the instructions](/editdocs/) for running a from-scratch staging server, which is both the most performant option and the biggest pain to get set up.
## Writing Docs Using Templates
### Types of Templates
- Concept Template
- Introduce K8s Api Objects e.g. Pod
- Task Template
- Step-by-step guide for "Doing X".
- Useful for breaking down various ways of configuring Concepts into sub-topics
- Landing Pages Template
- Collection of click-able cards on a grid
- Useful for directing users to actual content from a visual Table of Contents
## Concept Overview Template Details
A concept overview covers the most essential, important information about core
Kubernetes concepts and features. Examples of Concepts include `Pod`,
`Deployment`, `Service`, etc.
### Reference Examples
- [Link to Example Template: Source](https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/docsv2/docs/pod/index.md)
- [Link to Example Template: Rendered](http://k8sdocs.github.io/docs/pod/)
### Usage
### Creating the file
To create a new concept overview page, create a new directory with the concept
name under the docs directory and an index.md file.
e.g. `docs/your-concept-name/index.md`.
### Adding the page to navigation
Once your page is saved, somewhere in the `/docs/` directory, add a reference to the `concepts.yml` file under `/_data/` so that it will appear in the left-hand navigation of the site. This is also where you add a title to the page.
### Adding the Template sections
- concept: the concept name e.g. Pod
- what_is: one sentence description the function / role of the concept. Diagrams are helpful.
- when_to_use: disambiguate when to use this vs alternatives
- when_not_to_use: highlight common anti-patterns
- status: how to get the status for this object using kubectl
- usage: example yaml
- template: include the template at the end
### Tags structure
- `glossary:` a brief (~140 character) definition of what this concept is.
- `object_rankings:` associates the page with API objects/functions.
- `concept_rankings:` associates the page with Kubernetes concepts.
- `command_rankings:` associates the page with CLI commands
In each case, the association is ranked. If ranked "1," the topic will surface as a "Core Topic" (of high importance) on various associated pages. If ranked "2," the topic will be grouped under "Advanced Topics," which are deemed less essential.
Only ranks 1 and 2 are supported.
Tags are mandatory and should be thorough; they are the connective tissue of the site. To see them in action, [visit our sitemap](http://k8sdocs.github.io/docs/sitemap/).
```liquid{% raw %}
---
glossary: A pod is the vehicle for running containers in Kubernetes.
object_rankings:
- object: pod
rank: 1
concept_rankings:
- concept: pod
rank: 1
command_rankings:
- command: kubect describe
rank: 1
- command: kubectl get
rank: 1
---
{% capture concept %} concept-name-here {% endcapture %}
{% capture what_is %} description-of-concept-here {% endcapture %}
{% capture when_to_use %} when-to-use-here {% endcapture %}
{% capture when_not_to_use %} anti-patterns-here {% endcapture %}
{% capture status %} how-to-get-with-kubectl-here {% endcapture %}
{% capture usage %} yaml-config-usage-here {% endcapture %}
{% include templates/concept-overview.md %}
{% endraw %}```
## Task Template Details
A task page offers step-by-step instructions for completing a task with Kubernetes. **A task page should be narrowly focused on task completion and not delve into concepts or reference information.**
### Example
- [Link to Example Template: Source](https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/docsv2/docs/tasks/explicitly-scheduling-pod-node.md)
- [Link to Example Template: Rendered](http://k8sdocs.github.io/docs/tasks/explicitly-scheduling-pod-node/)
### Usage
### Creating the file
To create a new task page, create a file under docs/tasks/task-name.
e.g. `docs/tasks/your-task-name`.
Task filenames should match the title, chaining words with dashes in all lowercase, omitting articles and prepositions. For example, the topic "Explictly Scheduling a Pod on a Node" is stored in file `/docs/tasks/explicitly-scheduling-pod-node.md`.
### Adding the page to navigation
Add a reference to the `tasks.yml` file under `/_data/` so that it will appear in the left-hand navigation of the site. This is also where you add a title to the page.
### Adding the Template sections
- metadata: structured description of the doc content
- purpose: one sentence description of the task and motivation
- recommended_background: List of Concepts referenced or other Tasks, Tutorials that provide needed context
- set_by_step: Add multiple sections. 1 per step in the task.
- template: include the template at the end
### Tags structure
- `object_rankings:` associates the page with API objects/functions.
- `concept_rankings:` associates the page with Kubernetes concepts.
- `command_rankings:` associates the page with CLI commands
In each case, the association is ranked. If ranked "1," the topic will surface as a "Core Topic" (of high importance) on various associated pages. If ranked "2," the topic will be grouped under "Advanced Topics," which are deemed less essential.
Only ranks 1 and 2 are supported.
Tags are mandatory and should be thorough; they are the connective tissue of the site. To see them in action, [visit our sitemap](http://k8sdocs.github.io/docs/sitemap/).
```liquid{% raw %}
---
object_rankings:
- object: nodeAffinity
rank: 1
- object: nodeSelector
rank: 2
concept_rankings:
- concept: node
rank: 1
- concept: pod
rank: 1
command_rankings:
- command: kubectl label
rank: 1
- command: kubectl get
rank: 2
---
{% capture purpose %} task-description-here {% endcapture %}
{% capture recommended_background %} prereq-reading-here {% endcapture %}
{% capture step_by_step %} single-step-here {% endcapture %}
{% include templates/task.md %}
{% endraw %}```
## Landing Pages
Landing pages are a set of clickable "cards" arranged in a grid. Each card has a heading and description, and optioninall, a thumbnail image. They are meant to be index pages that quickly forward users on to deeper content.
### Demos
- [Link to Example Landing Page](https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master/docs/templatedemos/landingpage.md)
- [Link to Rendered Landing Page](landingpage/)
### Usage
To use this template, create a new file with these contents. Essentially, you declare the cards you want by inserting the following YAML structure in the front-matter YAML section at the top of the page, and the body of the page just has the include statement.
```yaml
---
cards:
- progression: no #"yes" = display cards as linearly progressing
- card:
title: Mean Stack
image: /images/docs/meanstack/image_0.png
description: Lorem ipsum dolor it verberum.
# repeat -card: items as necessary
---
{% raw %}{% include templates/landing-page.md %}{% endraw %}
```
### Adding page to navigation
Once your page is saved, somewhere in the `/docs/` directory, add a reference to the appropriate .yml file under `/_data/` so that it will appear in the left-hand navigation of the site. This is also where you add a title to the page.
## kubectl yaml
You probably shouldn't be using this, but we also have templates which consume YAML files that are generated by the Kubernetes authors. These are turned into pages which display the reference information for the various CLI tools.
### Demos
- [Link to Example Template](https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/docsv2/docs/kubectl/kubectl_api-versions.md)
- [Link to Rendered Template](http://k8sdocs.github.io/docs/kubectl/kubectl_api-versions/)
### Adding page to navigation
Once your page is saved, somewhere in the `/docs/` directory, add a reference to the `reference.yml` file under `/_data/` so that it will appear in the left-hand navigation of the site. This is also where you add a title to the page.

7
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@ -1,7 +0,0 @@
---
assignees:
- bgrant0607
---
{% capture command %}kubectl_annotate{% endcapture %}
{% include templates/kubectl.md %}

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@ -1,53 +0,0 @@
---
cards:
- progression: no
- card:
title: Mean Stack
image: /images/docs/meanstack/image_0.png
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Guestbook + Redis
image: /images/docs/redis.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Cassandra
image: /images/docs/cassandra.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: WordPress + MySQL
image: /images/docs/wordpress.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Mean Stack
image: /images/docs/meanstack/image_0.png
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Guestbook + Redis
image: /images/docs/redis.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Cassandra
image: /images/docs/cassandra.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: WordPress + MySQL
image: /images/docs/wordpress.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Mean Stack
image: /images/docs/meanstack/image_0.png
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Guestbook + Redis
image: /images/docs/redis.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: Cassandra
image: /images/docs/cassandra.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
- card:
title: WordPress + MySQL
image: /images/docs/wordpress.svg
description: Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum. Lorem ipsum dolor it verberum.
---
{% include templates/landing-page.md %}

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@ -1,6 +0,0 @@
---
---
{% assign concept="Replication Controller" %}
{% include templates/concept-overview.md %}

62
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View File

@ -1,62 +0,0 @@
---
---
# Doing a thing with a thing
{% capture purpose %}
This document teaches you how to do a thing.
{% endcapture %}
{% capture recommended_background %}
In order to do a thing, you must be familiar with the following:
- [Thing 1](/foo/)
- [Thing 2](/bar/)
{% endcapture %}
{% capture step_by_step %}
Here's how to do a thing with a thing.
#### 1. Prepare the thing
Lorem ipsum dolor it verberum.
#### 2. Run the thing command
Lorem ipsum dolor it verberum.
#### 3. Create the thing.yaml file
Lorem ipsum dolor it verberum.
```yaml
# Creates three nginx replicas
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 3
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
```
#### 4. ???
Lorem ipsum dolor it verberum.
#### 5. Profit!
Lorem ipsum dolor it verberum.
{% endcapture %}
{% include templates/task.md %}

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@ -59,6 +59,13 @@ interest. For example, people new to Kubernetes may also want to join the
`#kubernetes-novice` channel. As another example, developers should join the
`#kubernetes-dev` channel.
There are also many country specific/local language channels. Feel free to join
these channels for localized support and info:
- France: `#fr-users`, `#fr-events`
- Germany: `#de-users`, `#de-events`
- Japan: `#jp-users`, `#jp-events`
### Mailing List
The Kubernetes / Google Container Engine mailing list is [kubernetes-users@googlegroups.com](https://groups.google.com/forum/#!forum/kubernetes-users)

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@ -1,7 +1,10 @@
---
---
The Tutorials section of the Kubernetes documentation is a work in progress.
This section of the Kubernetes documentation contains tutorials.
A tutorial shows how to accomplish a goal that is larger than a single
[task](/docs/tasks/). Typically a tutorial has several sections,
each of which has a sequence of steps.
#### Kubernetes Basics

4
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@ -72,7 +72,7 @@ redirect_from:
<div class="row">
<div class="col-md-8">
<p><b>The Master is responsible for managing the cluster.</b> The master coordinates all activity in your cluster, such as scheduling applications, maintaining applications' desired state, scaling applications, and rolling out new updates.</p>
<p><b>The Master is responsible for managing the cluster.</b> The master coordinates all activities in your cluster, such as scheduling applications, maintaining applications' desired state, scaling applications, and rolling out new updates.</p>
<p><b>A node is a VM or a physical computer that serves as a worker machine in a Kubernetes cluster.</b> Each node has a Kubelet, which is an agent for managing the node and communicating with the Kubernetes master. The node should also have tools for handling container operations, such as Docker or rkt. A Kubernetes cluster that handles production traffic should have a minimum of three nodes.</p>
</div>
@ -87,7 +87,7 @@ redirect_from:
<div class="col-md-8">
<p>When you deploy applications on Kubernetes, you tell the master to start the application containers. The master schedules the containers to run on the cluster's nodes. <b>The nodes communicate with the master using the Kubernetes API</b>, which the master exposes. End users can also use the Kubernetes API directly to interact with the cluster.</p>
<p>A Kubernetes cluster can be deployed on either physical or virtual machines. To get started with Kubernetes development, you can use <a href="https://github.com/kubernetes/minikube">minikube</a>. Minikube is a lightweight Kubernetes implementation that creates a VM on your local machine and deploys a simple cluster containing only one node. Minikube is available for Linux, Mac OS and Windows systems. The minikube CLI provides basic bootstrapping operations for working with your cluster, including start, stop, status, and delete. For this bootcamp, however, you'll use a provided online terminal with minikube pre-installed.</p>
<p>A Kubernetes cluster can be deployed on either physical or virtual machines. To get started with Kubernetes development, you can use <a href="https://github.com/kubernetes/minikube">Minikube</a>. Minikube is a lightweight Kubernetes implementation that creates a VM on your local machine and deploys a simple cluster containing only one node. Minikube is available for Linux, Mac OS and Windows systems. The Minikube CLI provides basic bootstrapping operations for working with your cluster, including start, stop, status, and delete. For this bootcamp, however, you'll use a provided online terminal with Minikube pre-installed.</p>
<p>Now that you know what Kubernetes is, let’s go to the online tutorial and start our first cluster!</p>

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@ -70,7 +70,7 @@
<p>You can create and manage a Deployment by using the Kubernetes command line interface, <b>Kubectl</b>. Kubectl uses the Kubernetes API to interact with the cluster. In this module, you'll learn the most common Kubectl commands needed to create Deployments that run your applications on a Kubernetes cluster.</p>
<p>When you create a Deployment, you'll need to specify the container image for your application and the number of replicas that you want to run. You can change that information later by updating your Deployment; Modules <a href="5-0.html">5</a> and <a href="5-0.html">6</a> of the bootcamp discuss how you can update your Deployments.</p>
<p>When you create a Deployment, you'll need to specify the container image for your application and the number of replicas that you want to run. You can change that information later by updating your Deployment; Modules <a href="/docs/tutorials/kubernetes-basics/scale-intro/">5</a> and <a href="/docs/tutorials/kubernetes-basics/update-intro/">6</a> of the bootcamp discuss how you can scale and update your Deployments.</p>
@ -85,7 +85,7 @@
<div class="row">
<div class="col-md-8">
<p>For our first Deployment, we’ll use a <a href="https://nodejs.org">NodeJS</a> application packaged in a Docker container. The source code and the Dockerfile are available in the <a href="https://github.com/kubernetes/kubernetes-bootcamp">GitHub repository</a> for the Kubernetes Bootcamp.</p>
<p>For our first Deployment, we’ll use a <a href="https://nodejs.org">Node.js</a> application packaged in a Docker container. The source code and the Dockerfile are available in the <a href="https://github.com/kubernetes/kubernetes-bootcamp">GitHub repository</a> for the Kubernetes Bootcamp.</p>
<p>Now that you know what Deployments are, let’s go to the online tutorial and deploy our first app!</p>

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@ -27,7 +27,7 @@
<div class="col-md-8">
<h2>Kubernetes Pods</h2>
<p>When you created a Deployment in Module <a href="/docs/tutorials/kubernetes-basics/deploy-app.html">2</a>, Kubernetes created a <b>Pod</b> to host your application instance. A Pod is Kubernetes abstraction that represents a group of one or more application containers (such as Docker or rkt), and some shared resources for those containers. Those resources include:</p>
<p>When you created a Deployment in Module <a href="/docs/tutorials/kubernetes-basics/deploy-intro/">2</a>, Kubernetes created a <b>Pod</b> to host your application instance. A Pod is Kubernetes abstraction that represents a group of one or more application containers (such as Docker or rkt), and some shared resources for those containers. Those resources include:</p>
<ul>
<li>Shared storage, as Volumes</li>
<li>Networking, as a unique cluster IP address</li>
@ -106,7 +106,7 @@
<div class="row">
<div class="col-md-8">
<h2>Troubleshooting with kubectl</h2>
<p>In Module <a href="2-0.html">2</a>, you used Kubectl command-line interface. You'll continue to use it in Module 3 to get information about deployed applications and their environments. The most common operations can be done with the following kubectl commands:</p>
<p>In Module <a href="/docs/tutorials/kubernetes-basics/deploy-intro/">2</a>, you used Kubectl command-line interface. You'll continue to use it in Module 3 to get information about deployed applications and their environments. The most common operations can be done with the following kubectl commands:</p>
<ul>
<li><b>kubectl get</b> - list resources</li>
<li><b>kubectl describe</b> - show detailed information about a resource</li>
@ -114,7 +114,7 @@
<li><b>kubectl exec</b> - execute a command on a container in a pod</li>
</ul>
<p>You can use these commands to see when applications were deployed, what their current status is, where they are running and what their configuration is.</p>
<p>You can use these commands to see when applications were deployed, what their current statuses are, where they are running and what their configurations are.</p>
<p>Now that we know more about our cluster components and the command line, let’s explore our application.</p>

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@ -71,7 +71,7 @@
<p>A Service provides load balancing of traffic across the contained set of Pods. This is useful when a service is created to group all Pods from a specific Deployment (our application will make use of this in the next module, when we’ll have multiple instances running).</p>
<p>Services are also responsible for service-discovery within the cluster (covered in Module 6). This will for example allow a frontend service (like a web server) to receive traffic from a backend service (like a database) without worrying about Pods.</p>
<p>Services are also responsible for service-discovery within the cluster (covered in <a href="/docs/user-guide/connecting-applications/#accessing-the-service">Accessing the Service</a>). This will for example allow a frontend service (like a web server) to receive traffic from a backend service (like a database) without worrying about Pods.</p>
<p>Services match a set of Pods using Label Selectors, a grouping primitive that allows logical operation on Labels.</p>
@ -119,7 +119,7 @@
<p>Labels can be attached to objects at the creation time or later and can be modified at any time.
The kubectl run command sets some default Labels/Label Selectors on the new Pods/ Deployment. The link between Labels and Label Selectors defines the relationship between the Deployment and the Pods it creates.</p>
<p>Let’s expose now our application with the help of a Service, and apply some new Labels.</p>
<p>Now let’s expose our application with the help of a Service, and apply some new Labels.</p>
</div>
</div>
<br>

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@ -1,9 +1,6 @@
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viewBox="0 0 476.1 385.3" style="enable-background:new 0 0 476.1 385.3;" xml:space="preserve">
<style type="text/css">
.st0{fill:#FFFFFF;stroke:#006DE9;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:10;}
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<svg width="476.1" height="385.3" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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2
docs/tutorials/kubernetes-basics/scale-intro.html
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@ -25,7 +25,7 @@
<div class="col-md-8">
<h3>Scaling an application</h3>
<p>In the previous modules we created a <a href="http://kubernetes.io/docs/user-guide/deployments/"> Deployment</a>, and then exposed it publicly via a <a href="http://kubernetes.io/docs/user-guide/services/"> Service </a>. The Deployment created only one Pod for running our application. When traffic increases, we will need to scale the application to keep up with user demand.</p>
<p>In the previous modules we created a <a href="http://kubernetes.io/docs/user-guide/deployments/"> Deployment</a>, and then exposed it publicly via a <a href="http://kubernetes.io/docs/user-guide/services/">Service</a>. The Deployment created only one Pod for running our application. When traffic increases, we will need to scale the application to keep up with user demand.</p>
<p><b>Scaling</b> is accomplished by changing the number of replicas in a Deployment</p>

6
docs/tutorials/kubernetes-basics/update-intro.html
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@ -25,10 +25,10 @@
<div class="col-md-8">
<h3>Updating an application</h3>
<p>Users expect applications to be available all the time and developers are expected to deploy new versions of them several times a day. In Kubernetes this is done with rolling updates. <b>Rolling updates</b> allows Deployments to occur with zero downtime by incrementally updating Pods instances with new ones. The new Pods will be scheduled on Nodes with available resources.</p>
<p>Users expect applications to be available all the time and developers are expected to deploy new versions of them several times a day. In Kubernetes this is done with rolling updates. <b>Rolling updates</b> allow Deployments' update to take place with zero downtime by incrementally updating Pods instances with new ones. The new Pods will be scheduled on Nodes with available resources.</p>
<p>In the previous module we scaled our application to run multiple instances. This is a requirement for performing updates without affecting application availability. By default, the maximum number of Pods that can be unavailable during the update and the maximum number of new Pods that can be created, is one. Both options can be configured to either numbers or percentages (of Pods).
In Kubernetes, updates are versioned and any Deployment update can be reverted to a previously (stable) version.</p>
In Kubernetes, updates are versioned and any Deployment update can be reverted to previous (stable) version.</p>
</div>
<div class="col-md-4">
@ -39,7 +39,7 @@
</ul>
</div>
<div class="content__box content__box_fill">
<p><i>Rolling updates allows Deployments update with zero downtime by incrementally updating Pods instances with new ones. </i></p>
<p><i>Rolling updates allow Deployments' update to take place with zero downtime by incrementally updating Pods instances with new ones. </i></p>
</div>
</div>
</div>

2
docs/tutorials/stateless-application/expose-external-ip-address-service.md
View File

@ -103,7 +103,7 @@ provides load balancing for an application that has two running instances.
curl http://<public-node-ip>:<node-port>
where `<public-node-ip>` us the public IP address of your node,
where `<public-node-ip>` is the public IP address of your node,
and `<node-port>` is the NodePort value for your service.
The response to a successful request is a hello message:

4
docs/tutorials/stateless-application/expose-external-ip-address.md
View File

@ -64,7 +64,7 @@ external IP address.
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE
my-service 10.3.245.137 104.198.205.71 8080/TCP 54s
Note: If the external IP address is shown as <pending>, wait for a minute
Note: If the external IP address is shown as \<pending\>, wait for a minute
and enter the same command again.
1. Display detailed information about the Service:
@ -110,7 +110,7 @@ external IP address.
curl http://<external-ip>:<port>
where `<external-ip>` us the external IP address of your Service,
where `<external-ip>` is the external IP address of your Service,
and `<port>` is the value of `Port` in your Service description.
The response to a successful request is a hello message:

7
docs/tutorials/stateless-application/run-stateless-application-deployment.md
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@ -37,8 +37,7 @@ a Deployment that runs the nginx:1.7.9 Docker image:
1. Create a Deployment based on the YAML file:
export REPO=https://raw.githubusercontent.com/kubernetes/kubernetes.github.io/master
kubectl create -f $REPO/docs/tutorials/stateless-application/deployment.yaml
kubectl create -f http://k8s.io/docs/tutorials/stateless-application/deployment.yaml
1. Display information about the Deployment:
@ -81,7 +80,7 @@ specifies that the deployment should be updated to use nginx 1.8.
1. Apply the new YAML file:
kubectl apply -f $REPO/docs/tutorials/stateless-application/deployment-update.yaml
kubectl apply -f http://k8s.io/docs/tutorials/stateless-application/deployment-update.yaml
1. Watch the deployment create pods with new names and delete the old pods:
@ -97,7 +96,7 @@ should have four pods:
1. Apply the new YAML file:
kubectl apply -f $REPO/docs/tutorials/stateless-application/deployment-scale.yaml
kubectl apply -f http://k8s.io/docs/tutorials/stateless-application/deployment-scale.yaml
1. Verify that the Deployment has four pods:

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@ -21,7 +21,7 @@ This document is meant to highlight and consolidate in one place configuration b
- Don't specify default values unnecessarily, in order to simplify and minimize configs, and to
reduce error. For example, omit the selector and labels in a `ReplicationController` if you want
them to be the same as the labels in its `podTemplate`, since those fields are populated from the
`podTemplate` labels by default. See the [guestbook app's](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/guestbook/) .yaml files for some [examples](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/guestbook/frontend-controller.yaml) of this.
`podTemplate` labels by default. See the [guestbook app's](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/guestbook/) .yaml files for some [examples](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/guestbook/frontend-deployment.yaml) of this.
- Put an object description in an annotation to allow better introspection.

24
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@ -14,8 +14,8 @@ should run in a container. In this case, Kubernetes runs the image's default co
to run a particular command or override the image's defaults, there are two additional fields that
we can use:
1. `Command`: Controls the actual command run by the image
2. `Args`: Controls the arguments passed to the command
1. `command`: Controls the actual command run by the image
2. `args`: Controls the arguments passed to the command
### How docker handles command and arguments
@ -28,20 +28,20 @@ fields as either a string array or a string and there are subtle differences in
handled. We encourage the curious to check out Docker's documentation for this feature.
Kubernetes allows you to override both the image's default command (docker `Entrypoint`) and args
(docker `Cmd`) with the `Command` and `Args` fields of `Container`. The rules are:
(docker `Cmd`) with the `command` and `args` fields of `container`. The rules are:
1. If you do not supply a `Command` or `Args` for a container, the defaults defined by the image
will be used
2. If you supply a `Command` but no `Args` for a container, only the supplied `Command` will be
used; the image's default arguments are ignored
3. If you supply only `Args`, the image's default command will be used with the arguments you
supply
4. If you supply a `Command` **and** `Args`, the image's defaults will be ignored and the values
you supply will be used
1. If you do not supply a `command` or `args` for a container, the defaults defined by the image
will be used.
2. If you supply a `command` but no `args` for a container, only the supplied `command` will be
used; the image's default arguments are ignored.
3. If you supply only `args`, the image's default command will be used with the arguments you
supply.
4. If you supply a `command` **and** `args`, the image's defaults will be ignored and the values
you supply will be used.
Here are examples for these rules in table format
| Image `Entrypoint` | Image `Cmd` | Container `Command` | Container `Args` | Command Run |
| Image `Entrypoint` | Image `Cmd` | Container `command` | Container `args` | Command Run |
|--------------------|------------------|---------------------|--------------------|------------------|
| `[/ep-1]` | `[foo bar]` | &lt;not set&gt; | &lt;not set&gt; | `[ep-1 foo bar]` |
| `[/ep-1]` | `[foo bar]` | `[/ep-2]` | &lt;not set&gt; | `[ep-2]` |

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@ -50,7 +50,7 @@ a matching secret in all underlying kubernetes clusters.
You can verify this by checking each of the underlying clusters, for example:
``` shell
kubectl --context=gce-asia-east1a get rs myrs
kubectl --context=gce-asia-east1a get secret mysecret
```
The above assumes that you have a context named 'gce-asia-east1a'
@ -77,7 +77,7 @@ the federation apiserver instead of sending it to a specific Kubernetes cluster.
For example, you can do that using kubectl by running:
```shell
kubectl --context=federation-cluster delete rs myrs
kubectl --context=federation-cluster delete secret mysecret
```
Note that at this point, deleting a federated secret will not delete the

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@ -5,7 +5,7 @@ assignees:
---
Each container in a pod has its own image. Currently, the only type of image supported is a [Docker Image](https://docs.docker.com/userguide/dockerimages/).
Each container in a pod has its own image. Currently, the only type of image supported is a [Docker Image](https://docs.docker.com/engine/tutorials/dockerimages/).
You create your Docker image and push it to a registry before referring to it in a Kubernetes pod.

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@ -178,7 +178,7 @@ $ KUBE_EDITOR="nano" kubectl edit svc/docker-registry # Use an alternative edi
## Scaling Resources
```console
$ kubectl scale --replicas=3 rs/foo # Scale a replicaset named 'foo' to
$ kubectl scale --replicas=3 rs/foo # Scale a replicaset named 'foo' to 3
$ kubectl scale --replicas=3 -f foo.yaml # Scale a resource specified in "foo.yaml" to 3
$ kubectl scale --current-replicas=2 --replicas=3 deployment/mysql # If the deployment named mysql's current size is 2, scale mysql to 3
$ kubectl scale --replicas=5 rc/foo rc/bar rc/baz # Scale multiple replication controllers

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@ -99,10 +99,10 @@ _Set-based_ requirements can be mixed with _equality-based_ requirements. For ex
### LIST and WATCH filtering
LIST and WATCH operations may specify label selectors to filter the sets of objects returned using a query parameter. Both requirements are permitted:
LIST and WATCH operations may specify label selectors to filter the sets of objects returned using a query parameter. Both requirements are permitted (presented here as they would appear in a URL query string):
* _equality-based_ requirements: `?labelSelector=environment%3Dproduction,tier%3Dfrontend`
* _set-based_ requirements: `?labelSelector=environment+in+%28production%2Cqa%29%2Ctier+in+%28frontend%29`
* _equality-based_ requirements: `?labelSelector=environment%3Dproduction,tier%3Dfrontend`
* _set-based_ requirements: `?labelSelector=environment+in+%28production%2Cqa%29%2Ctier+in+%28frontend%29`
Both label selector styles can be used to list or watch resources via a REST client. For example, targeting `apiserver` with `kubectl` and using _equality-based_ one may write:

50
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@ -7,30 +7,52 @@ assignees:
To deploy and manage applications on Kubernetes, you’ll use the Kubernetes command-line tool, [kubectl](/docs/user-guide/kubectl/). It lets you inspect your cluster resources, create, delete, and update components, and much more. You will use it to look at your new cluster and bring up example apps.
## Installing kubectl
## Install kubectl Binary Via curl
If you downloaded a pre-compiled [release](https://github.com/kubernetes/kubernetes/releases), kubectl should be under `platforms/<os>/<arch>` from the tar bundle.
If you built from source, kubectl should be either under `_output/local/bin/<os>/<arch>` or `_output/dockerized/bin/<os>/<arch>`.
The kubectl binary doesn't have to be installed to be executable, but the rest of the walkthrough will assume that it's in your PATH.
The simplest way to install is to copy or move kubectl into a dir already in PATH (e.g. `/usr/local/bin`). For example:
Download the latest release with the command:
```shell
# OS X
$ sudo cp kubernetes/platforms/darwin/amd64/kubectl /usr/local/bin/kubectl
curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl
# Linux
$ sudo cp kubernetes/platforms/linux/amd64/kubectl /usr/local/bin/kubectl
curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl
```
You also need to ensure it's executable:
If you want to download a specific version of kubectl you can replace the nested curl command from above with the version you want. (e.g. v1.4.6, v1.5.0-beta.2)
Make the kubectl binary executable and move it to your PATH (e.g. `/usr/local/bin`):
```shell
$ sudo chmod +x /usr/local/bin/kubectl
chmod +x ./kubectl
sudo mv ./kubectl /usr/local/bin/kubectl
```
If you prefer not to copy kubectl, you need to ensure the tool is in your path:
## Extract kubectl from Release .tar.gz or Compiled Source
If you downloaded a pre-compiled [release](https://github.com/kubernetes/kubernetes/releases), kubectl will be under `platforms/<os>/<arch>` from the tar bundle.
If you compiled kubernetes from source, kubectl should be either under `_output/local/bin/<os>/<arch>` or `_output/dockerized/bin/<os>/<arch>`.
Copy or move kubectl into a directory already in your PATH (e.g. `/usr/local/bin`). For example:
```shell
# OS X
sudo cp platforms/darwin/amd64/kubectl /usr/local/bin/kubectl
# Linux
sudo cp platforms/linux/amd64/kubectl /usr/local/bin/kubectl
```
Next make it executable with the following command:
```shell
sudo chmod +x /usr/local/bin/kubectl
```
The kubectl binary doesn't have to be installed to be executable, but the rest of the walkthrough will assume that it's in your PATH.
If you prefer not to copy kubectl, you need to ensure it is in your path:
```shell
# OS X
@ -57,4 +79,4 @@ If you see a url response, you are ready to go.
## What's next?
[Learn how to launch and expose your application.](/docs/user-guide/quick-start)
[Learn how to launch and expose your application.](/docs/user-guide/quick-start)

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@ -204,7 +204,7 @@ The status of the init containers is returned as another annotation - `pod.beta.
Init containers support all of the same features as normal containers, including resource limits, volumes, and security settings. The resource requests and limits for an init container are handled slightly different than normal containers since init containers are run one at a time instead of all at once - any limits or quotas will be applied based on the largest init container resource quantity, rather than as the sum of quantities. Init containers do not support readiness probes since they will run to completion before the pod can be ready.
[Complete Init Container Documentation](/docs/user-guide/pods/init-containers.md)
[Complete Init Container Documentation](/docs/user-guide/pods/init-container/)
## Lifecycle hooks and termination notice

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@ -176,7 +176,7 @@ its pods, add appropriate selectors or endpoints and change the service `type`.
## Virtual IPs and service proxies
Every node in a Kubernetes cluster runs a `kube-proxy`. `kube-proxy` is
responsible for implementing a form of virtual IP for `Service`s of type other
responsible for implementing a form of virtual IP for `Services` of type other
than `ExternalName`.
In Kubernetes v1.0 the proxy was purely in userspace. In Kubernetes v1.1 an
iptables proxy was added, but was not the default operating mode. Since

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