Auto-fixed docs

docs/README.md

@@ -29,9 +29,9 @@ certainly want the docs that go with that version.</h1>
 * The [API object documentation](http://kubernetes.io/third_party/swagger-ui/)
   is a detailed description of all fields found in core API objects.
 
-* An overview of the [Design of Kubernetes](design)
+* An overview of the [Design of Kubernetes](design/)
 
-* There are example files and walkthroughs in the [examples](../examples)
+* There are example files and walkthroughs in the [examples](../examples/)
   folder.
 
 

docs/accessing_the_api.md

@@ -24,8 +24,8 @@ By default the Kubernetes APIserver serves HTTP on 2 ports:
     - default is port 6443, change with `--secure-port` flag.
     - default IP is first non-localhost network interface, change with `--bind-address` flag.
     - serves HTTPS.  Set cert with `--tls-cert-file` and key with `--tls-private-key-file` flag.
-    - uses token-file or client-certificate based [authentication](./authentication.md).
-    - uses policy-based [authorization](./authorization.md).
+    - uses token-file or client-certificate based [authentication](authentication.md).
+    - uses policy-based [authorization](authorization.md).
   3. Removed: ReadOnly Port
     - For security reasons, this had to be removed. Use the service account feature instead.
 

docs/admission_controllers.md

@@ -46,7 +46,7 @@ commands in those containers, we strongly encourage enabling this plug-in.
 
 ### ServiceAccount
 
-This plug-in implements automation for [serviceAccounts]( service_accounts.md).
+This plug-in implements automation for [serviceAccounts](service_accounts.md).
 We strongly recommend using this plug-in if you intend to make use of Kubernetes ```ServiceAccount``` objects.
 
 ### SecurityContextDeny
@@ -59,7 +59,7 @@ This plug-in will observe the incoming request and ensure that it does not viola
 enumerated in the ```ResourceQuota``` object in a ```Namespace```.  If you are using ```ResourceQuota```
 objects in your Kubernetes deployment, you MUST use this plug-in to enforce quota constraints.
 
-See the [resourceQuota design doc]( design/admission_control_resource_quota.md).
+See the [resourceQuota design doc](design/admission_control_resource_quota.md).
 
 It is strongly encouraged that this plug-in is configured last in the sequence of admission control plug-ins.  This is
 so that quota is not prematurely incremented only for the request to be rejected later in admission control.
@@ -70,7 +70,7 @@ This plug-in will observe the incoming request and ensure that it does not viola
 enumerated in the ```LimitRange``` object in a ```Namespace```.  If you are using ```LimitRange``` objects in
 your Kubernetes deployment, you MUST use this plug-in to enforce those constraints.
 
-See the [limitRange design doc]( design/admission_control_limit_range.md).
+See the [limitRange design doc](design/admission_control_limit_range.md).
 
 ### NamespaceExists
 

docs/api-conventions.md

@@ -118,7 +118,7 @@ In order to preserve extensibility, in the future, we intend to explicitly conve
 
 Note that historical information status (e.g., last transition time, failure counts) is only provided at best effort, and is not guaranteed to not be lost.
 
-Status information that may be large (especially unbounded in size, such as lists of references to other objects -- see below) and/or rapidly changing, such as [resource usage](./design/resources.md#usage-data), should be put into separate objects, with possibly a reference from the original object. This helps to ensure that GETs and watch remain reasonably efficient for the majority of clients, which may not need that data.
+Status information that may be large (especially unbounded in size, such as lists of references to other objects -- see below) and/or rapidly changing, such as [resource usage](design/resources.md#usage-data), should be put into separate objects, with possibly a reference from the original object. This helps to ensure that GETs and watch remain reasonably efficient for the majority of clients, which may not need that data.
 
 #### References to related objects
 

docs/authorization.md

@@ -2,7 +2,7 @@
 
 
 In Kubernetes, authorization happens as a separate step from authentication.
-See the [authentication documentation](./authentication.md) for an 
+See the [authentication documentation](authentication.md) for an 
 overview of authentication.
 
 Authorization applies to all HTTP accesses on the main apiserver port. (The

docs/availability.md

@@ -120,7 +120,7 @@ then you need `R + U` clusters.  If it is not (e.g you want to ensure low latenc
 cluster failure), then you need to have `R * U` clusters (`U` in each of `R` regions).  In any case, try to put each cluster in a different zone.
 
 Finally, if any of your clusters would need more than the maximum recommended number of nodes for a Kubernetes cluster, then
-you may need even more clusters.  Our [roadmap](./roadmap.md)
+you may need even more clusters.  Our [roadmap](roadmap.md)
 calls for maximum 100 node clusters at v1.0 and maximum 1000 node clusters in the middle of 2015.
 
 ## Working with multiple clusters

docs/cluster-admin-guide.md

@@ -64,13 +64,13 @@ project.](salt.md).
   Describes the environment for Kubelet managed containers on a Kubernetes
   node.
 
-* **Securing access to the API Server** [accessing the api]( accessing_the_api.md)
+* **Securing access to the API Server** [accessing the api](accessing_the_api.md)
 
-* **Authentication**  [authentication]( authentication.md)
+* **Authentication**  [authentication](authentication.md)
 
-* **Authorization** [authorization]( authorization.md)
+* **Authorization** [authorization](authorization.md)
 
-* **Admission Controllers** [admission_controllers]( admission_controllers.md)
+* **Admission Controllers** [admission_controllers](admission_controllers.md)
 
 
 

docs/compute_resources.md

@@ -9,7 +9,7 @@
   - [Troubleshooting](#troubleshooting)
   - [Planned Improvements](#planned-improvements)
 
-When specifying a [pod](./pods.md), you can optionally specify how much CPU and memory (RAM) each
+When specifying a [pod](pods.md), you can optionally specify how much CPU and memory (RAM) each
 container needs.  When containers have resource limits, the scheduler is able to make better
 decisions about which nodes to place pods on, and contention for resources can be handled in a
 consistent manner.
@@ -19,8 +19,8 @@ in units of cores.  Memory is specified in units of bytes.
 
 CPU and RAM are collectively refered to as *compute resources*, or just *resources*.  Compute
 resources are measureable quantities which can be requested, allocated, and consumed.  They are
-distinct from [API resources](./working_with_resources.md).  API resources, such as pods and
-[services](./services.md) are objects that can be written to and retrieved from the Kubernetes API
+distinct from [API resources](working_with_resources.md).  API resources, such as pods and
+[services](services.md) are objects that can be written to and retrieved from the Kubernetes API
 server.
 
 ## Container and Pod Resource Limits
@@ -136,7 +136,7 @@ Here are some example command lines that extract just the necessary information:
 - `kubectl get nodes -o yaml | grep '\sname\|cpu\|memory'`
 - `kubectl get nodes -o json | jq '.items[] | {name: .metadata.name, cap: .status.capacity}'`
 
-The [resource quota](./resource_quota_admin.md) feature can be configured
+The [resource quota](resource_quota_admin.md) feature can be configured
 to limit the total amount of resources that can be consumed.  If used in conjunction
 with namespaces, it can prevent one team from hogging all the resources.
 
@@ -144,11 +144,11 @@ with namespaces, it can prevent one team from hogging all the resources.
 
 The current system only allows resource quantities to be specified on a container.
 It is planned to improve accounting for resources which are shared by all containers in a pod,
-such as [EmptyDir volumes](./volumes.md#emptydir).
+such as [EmptyDir volumes](volumes.md#emptydir).
 
 The current system only supports container limits for CPU and Memory.
 It is planned to add new resource types, including a node disk space
-resource, and a framework for adding custom [resource types](./design/resources.md#resource-types).
+resource, and a framework for adding custom [resource types](design/resources.md#resource-types).
 
 The current system does not facilitate overcommitment of resources because resources reserved
 with container limits are assured.  It is planned to support multiple levels of [Quality of

docs/container-environment.md

@@ -7,7 +7,7 @@ This document describes the environment for Kubelet managed containers on a Kube
 This cluster information makes it possible to build applications that are *cluster aware*.  
 Additionally, the Kubernetes container environment defines a series of hooks that are surfaced to optional hook handlers defined as part of individual containers.  Container hooks are somewhat analogous to operating system signals in a traditional process model.   However these hooks are designed to make it easier to build reliable, scalable cloud applications in the Kubernetes cluster.  Containers that participate in this cluster lifecycle become *cluster native*. 
 
-Another important part of the container environment is the file system that is available to the container.  In Kubernetes, the filesystem is a combination of an [image](./images.md) and one or more [volumes](./volumes.md).
+Another important part of the container environment is the file system that is available to the container.  In Kubernetes, the filesystem is a combination of an [image](images.md) and one or more [volumes](volumes.md).
 
 
 The following sections describe both the cluster information provided to containers, as well as the hooks and life-cycle that allows containers to interact with the management system.

docs/design/access.md

@@ -141,7 +141,7 @@ Improvements:
 ###Namespaces
 K8s will have a have a `namespace` API object.  It is similar to a Google Compute Engine `project`.  It provides a namespace for objects created by a group of people co-operating together, preventing name collisions with non-cooperating groups.  It also serves as a reference point for authorization policies.
 
-Namespaces are described in [namespace.md](namespaces.md).
+Namespaces are described in [namespaces.md](namespaces.md).
 
 In the Enterprise Profile:
    - a `userAccount` may have permission to access several `namespace`s.
@@ -151,7 +151,7 @@ In the Simple Profile:
 
 Namespaces versus userAccount vs Labels:
 - `userAccount`s are intended for audit logging (both name and UID should be logged), and to define who has access to `namespace`s.
-- `labels` (see [docs/labels.md](/docs/labels.md)) should be used to distinguish pods, users, and other objects that cooperate towards a common goal but are different in some way, such as version, or responsibilities.
+- `labels` (see [docs/labels.md](../../docs/labels.md)) should be used to distinguish pods, users, and other objects that cooperate towards a common goal but are different in some way, such as version, or responsibilities.
 - `namespace`s prevent name collisions between uncoordinated groups of people, and provide a place to attach common policies for co-operating groups of people.
 
 

docs/design/resources.md

@@ -149,7 +149,7 @@ The following are planned future extensions to the resource model, included here
 
 ## Usage data
 
-Because resource usage and related metrics change continuously, need to be tracked over time (i.e., historically), can be characterized in a variety of ways, and are fairly voluminous, we will not include usage in core API objects, such as [Pods](pods.md) and Nodes, but will provide separate APIs for accessing and managing that data. See the Appendix for possible representations of usage data, but the representation we'll use is TBD.
+Because resource usage and related metrics change continuously, need to be tracked over time (i.e., historically), can be characterized in a variety of ways, and are fairly voluminous, we will not include usage in core API objects, such as [Pods](../pods.md) and Nodes, but will provide separate APIs for accessing and managing that data. See the Appendix for possible representations of usage data, but the representation we'll use is TBD.
 
 Singleton values for observed and predicted future usage will rapidly prove inadequate, so we will support the following structure for extended usage information: 
 

docs/design/secrets.md

@@ -71,7 +71,7 @@ service would also consume the secrets associated with the MySQL service.
 
 ### Use-Case: Secrets associated with service accounts
 
-[Service Accounts](./service_accounts.md) are proposed as a
+[Service Accounts](service_accounts.md) are proposed as a
 mechanism to decouple capabilities and security contexts from individual human users.  A
 `ServiceAccount` contains references to some number of secrets.  A `Pod` can specify that it is
 associated with a `ServiceAccount`.  Secrets should have a `Type` field to allow the Kubelet and
@@ -241,7 +241,7 @@ memory overcommit on the node.
 
 #### Secret data on the node: isolation
 
-Every pod will have a [security context](./security_context.md).
+Every pod will have a [security context](security_context.md).
 Secret data on the node should be isolated according to the security context of the container.  The
 Kubelet volume plugin API will be changed so that a volume plugin receives the security context of
 a volume along with the volume spec.  This will allow volume plugins to implement setting the
@@ -253,7 +253,7 @@ Several proposals / upstream patches are notable as background for this proposal
 
 1.  [Docker vault proposal](https://github.com/docker/docker/issues/10310)
 2.  [Specification for image/container standardization based on volumes](https://github.com/docker/docker/issues/9277)
-3.  [Kubernetes service account proposal](./service_accounts.md)
+3.  [Kubernetes service account proposal](service_accounts.md)
 4.  [Secrets proposal for docker (1)](https://github.com/docker/docker/pull/6075)
 5.  [Secrets proposal for docker (2)](https://github.com/docker/docker/pull/6697)
 

docs/design/security.md

@@ -63,14 +63,14 @@ Automated process users fall into the following categories:
 A pod runs in a *security context* under a *service account* that is defined by an administrator or project administrator, and the *secrets* a pod has access to is limited by that *service account*.
 
 
-1. The API should authenticate and authorize user actions [authn and authz](./access.md)
+1. The API should authenticate and authorize user actions [authn and authz](access.md)
 2. All infrastructure components (kubelets, kube-proxies, controllers, scheduler) should have an infrastructure user that they can authenticate with and be authorized to perform only the functions they require against the API.
 3. Most infrastructure components should use the API as a way of exchanging data and changing the system, and only the API should have access to the underlying data store (etcd)
-4. When containers run on the cluster and need to talk to other containers or the API server, they should be identified and authorized clearly as an autonomous process via a [service account](./service_accounts.md)
+4. When containers run on the cluster and need to talk to other containers or the API server, they should be identified and authorized clearly as an autonomous process via a [service account](service_accounts.md)
    1.  If the user who started a long-lived process is removed from access to the cluster, the process should be able to continue without interruption
    2.  If the user who started processes are removed from the cluster, administrators may wish to terminate their processes in bulk
    3.  When containers run with a service account, the user that created / triggered the service account behavior must be associated with the container's action
-5. When container processes run on the cluster, they should run in a [security context](./security_context.md) that isolates those processes via Linux user security, user namespaces, and permissions.
+5. When container processes run on the cluster, they should run in a [security context](security_context.md) that isolates those processes via Linux user security, user namespaces, and permissions.
    1.  Administrators should be able to configure the cluster to automatically confine all container processes as a non-root, randomly assigned UID
    2.  Administrators should be able to ensure that container processes within the same namespace are all assigned the same unix user UID
    3.  Administrators should be able to limit which developers and project administrators have access to higher privilege actions
@@ -79,7 +79,7 @@ A pod runs in a *security context* under a *service account* that is defined by
    6.  Developers may need to ensure their images work within higher security requirements specified by administrators
    7.  When available, Linux kernel user namespaces can be used to ensure 5.2 and 5.4 are met.
    8.  When application developers want to share filesytem data via distributed filesystems, the Unix user ids on those filesystems must be consistent across different container processes
-6. Developers should be able to define [secrets](./secrets.md) that are automatically added to the containers when pods are run
+6. Developers should be able to define [secrets](secrets.md) that are automatically added to the containers when pods are run
    1.  Secrets are files injected into the container whose values should not be displayed within a pod. Examples:
        1. An SSH private key for git cloning remote data
        2. A client certificate for accessing a remote system
@@ -93,11 +93,11 @@ A pod runs in a *security context* under a *service account* that is defined by
 
 ### Related design discussion
 
-* [Authorization and authentication](./access.md)
+* [Authorization and authentication](access.md)
 * [Secret distribution via files](https://github.com/GoogleCloudPlatform/kubernetes/pull/2030)
 * [Docker secrets](https://github.com/docker/docker/pull/6697)
 * [Docker vault](https://github.com/docker/docker/issues/10310)
-* [Service Accounts:](./service_accounts.md)
+* [Service Accounts:](service_accounts.md)
 * [Secret volumes](https://github.com/GoogleCloudPlatform/kubernetes/pull/4126)
 
 ## Specific Design Points

docs/design/security_context.md

@@ -32,7 +32,7 @@ Processes in pods will need to have consistent UID/GID/SELinux category labels i
 * The concept of a security context should not be tied to a particular security mechanism or platform 
   (ie. SELinux, AppArmor)
 * Applying a different security context to a scope (namespace or pod) requires a solution such as the one proposed for
-  [service accounts](./service_accounts.md).
+  [service accounts](service_accounts.md).
 
 ## Use Cases
 

docs/design/service_accounts.md

@@ -21,9 +21,9 @@ They also may interact with services other than the Kubernetes API, such as:
 A service account binds together several things:
   - a *name*, understood by users, and perhaps by peripheral systems, for an identity
   - a *principal* that can be authenticated and [authorized](../authorization.md)
-  - a [security context](./security_context.md), which defines the Linux Capabilities, User IDs, Groups IDs, and other
+  - a [security context](security_context.md), which defines the Linux Capabilities, User IDs, Groups IDs, and other
     capabilities and controls on interaction with the file system and OS.
-  - a set of [secrets](./secrets.md), which a container may use to
+  - a set of [secrets](secrets.md), which a container may use to
     access various networked resources.
 
 ## Design Discussion

docs/devel/developer-guides/vagrant.md

@@ -9,7 +9,7 @@ Running kubernetes with Vagrant (and VirtualBox) is an easy way to run/test/deve
    2. [VMWare Fusion](https://www.vmware.com/products/fusion/) version 5 or greater as well as the appropriate [Vagrant VMWare Fusion provider](https://www.vagrantup.com/vmware)
    3. [VMWare Workstation](https://www.vmware.com/products/workstation/) version 9 or greater as well as the [Vagrant VMWare Workstation provider](https://www.vagrantup.com/vmware)
    4. [Parallels Desktop](https://www.parallels.com/products/desktop/) version 9 or greater as well as the [Vagrant Parallels provider](https://parallels.github.io/vagrant-parallels/)
-3. Get or build a [binary release](/docs/getting-started-guides/binary_release.md)
+3. Get or build a [binary release](../../../docs/getting-started-guides/binary_release.md)
 
 ### Setup
 
@@ -244,7 +244,7 @@ my-nginx    nginx             run=my-nginx   3
 ```
 
 We did not start any services, hence there are none listed. But we see three replicas displayed properly.
-Check the [guestbook](/examples/guestbook/README.md) application to learn how to create a service.
+Check the [guestbook](../../../examples/guestbook/README.md) application to learn how to create a service.
 You can already play with scaling the replicas with:
 
 ```sh

docs/devel/releasing.md

@@ -97,7 +97,7 @@ others around it will either have `v0.4-dev` or `v0.5-dev`.
 
 The diagram below illustrates it.
 
-![Diagram of git commits involved in the release](./releasing.png)
+![Diagram of git commits involved in the release](releasing.png)
 
 After working on `v0.4-dev` and merging PR 99 we decide it is time to release
 `v0.5`. So we start a new branch, create one commit to update

docs/devel/scheduler.md

@@ -37,7 +37,7 @@ can be overridden by passing the command-line flag `--policy-config-file` to the
 file specifying which scheduling policies to use. See
 [examples/scheduler-policy-config.json](../../examples/scheduler-policy-config.json) for an example
 config file. (Note that the config file format is versioned; the API is defined in
-[plugin/pkg/scheduler/api/](../../plugin/pkg/scheduler/api/)).
+[plugin/pkg/scheduler/api](../../plugin/pkg/scheduler/api/)).
 Thus to add a new scheduling policy, you should modify predicates.go or priorities.go,
 and either register the policy in `defaultPredicates()` or `defaultPriorities()`, or use a policy config file.
 

docs/getting-started-guides/aws.md

@@ -79,9 +79,9 @@ For more information, please read [kubeconfig files](https://github.com/GoogleCl
 ### Examples
 See [a simple nginx example](../../examples/simple-nginx.md) to try out your new cluster.
 
-The "Guestbook" application is another popular example to get started with Kubernetes: [guestbook example](../../examples/guestbook)
+The "Guestbook" application is another popular example to get started with Kubernetes: [guestbook example](../../examples/guestbook/)
 
-For more complete applications, please look in the [examples directory](../../examples)
+For more complete applications, please look in the [examples directory](../../examples/)
 
 ## Tearing down the cluster
 Make sure the environment variables you used to provision your cluster are still exported, then call the following script inside the

docs/getting-started-guides/azure.md

@@ -51,7 +51,7 @@ can tweak some of these parameters by editing `cluster/azure/config-default.sh`.
 ## Getting started with your cluster
 See [a simple nginx example](../../examples/simple-nginx.md) to try out your new cluster.
 
-For more complete applications, please look in the [examples directory](../../examples).
+For more complete applications, please look in the [examples directory](../../examples/).
 
 ## Tearing down the cluster
 ```

docs/getting-started-guides/binary_release.md

@@ -20,7 +20,7 @@ cd kubernetes
 make release
 ```
 
-For more details on the release process see the [`build/` directory](../../build)
+For more details on the release process see the [`build/` directory](../../build/)
 
 
 [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/docs/getting-started-guides/binary_release.md?pixel)]()

docs/getting-started-guides/cloudstack.md

@@ -15,7 +15,7 @@ CloudStack is a software to build public and private clouds based on hardware vi
 [CoreOS](http://coreos.com) templates for CloudStack are built [nightly](http://stable.release.core-os.net/amd64-usr/current/). CloudStack operators need to [register](http://docs.cloudstack.apache.org/projects/cloudstack-administration/en/latest/templates.html) this template in their cloud before proceeding with these Kubernetes deployment instructions.
 
 This guide uses an [Ansible playbook](https://github.com/runseb/ansible-kubernetes).
-This is a completely automated, a single playbook deploys Kubernetes based on the coreOS [instructions](./coreos/coreos_multinode_cluster.md).
+This is a completely automated, a single playbook deploys Kubernetes based on the coreOS [instructions](coreos/coreos_multinode_cluster.md).
 
 
 This [Ansible](http://ansibleworks.com) playbook deploys Kubernetes on a CloudStack based Cloud using CoreOS images. The playbook, creates an ssh key pair, creates a security group and associated rules and finally starts coreOS instances configured via cloud-init.

docs/getting-started-guides/coreos/azure/README.md

@@ -188,7 +188,7 @@ You then should be able to access it from anywhere via the Azure virtual IP for
 
 You now have a full-blow cluster running in Azure, congrats!
 
-You should probably try deploy other [example apps](../../../../examples) or write your own ;)
+You should probably try deploy other [example apps](../../../../examples/) or write your own ;)
 
 ## Tear down...
 

docs/getting-started-guides/coreos/bare_metal_offline.md

@@ -213,7 +213,7 @@ Now for the good stuff!
 ## Cloud Configs
 The following config files are tailored for the OFFLINE version of a Kubernetes deployment.
 
-These are based on the work found here: [master.yml](./cloud-configs/master.yaml), [node.yml](./cloud-configs/node.yaml)
+These are based on the work found here: [master.yml](cloud-configs/master.yaml), [node.yml](cloud-configs/node.yaml)
 
 To make the setup work, you need to replace a few placeholders:
 
@@ -622,7 +622,7 @@ Now that the CoreOS with Kubernetes installed is up and running lets spin up som
 
 See [a simple nginx example](../../../examples/simple-nginx.md) to try out your new cluster.
 
-For more complete applications, please look in the [examples directory](../../../examples).
+For more complete applications, please look in the [examples directory](../../../examples/).
 
 ## Helping commands for debugging
 

docs/getting-started-guides/docker-multinode.md

@@ -49,7 +49,7 @@ See [here](docker-multinode/worker.md) for detailed instructions.
 
 Once your cluster has been created you can [test it out](docker-multinode/testing.md)
 
-For more complete applications, please look in the [examples directory](../../examples)
+For more complete applications, please look in the [examples directory](../../examples/)
 
 
 [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/docs/getting-started-guides/docker-multinode.md?pixel)]()

docs/getting-started-guides/gce.md

@@ -150,7 +150,7 @@ Some of the pods may take a few seconds to start up (during this time they'll sh
 
 Then, see [a simple nginx example](../../examples/simple-nginx.md) to try out your new cluster.
 
-For more complete applications, please look in the [examples directory](../../examples).  The [guestbook example](../../examples/guestbook) is a good "getting started" walkthrough.
+For more complete applications, please look in the [examples directory](../../examples/).  The [guestbook example](../../examples/guestbook/) is a good "getting started" walkthrough.
 
 ### Tearing down the cluster
 To remove/delete/teardown the cluster, use the `kube-down.sh` script.

docs/getting-started-guides/juju.md

@@ -178,7 +178,7 @@ We can add minion units like so:
 
 ## Launch the "k8petstore" example app
 
-The [k8petstore example](../../examples/k8petstore) is available as a
+The [k8petstore example](../../examples/k8petstore/) is available as a
 [juju action](https://jujucharms.com/docs/devel/actions).
 
     juju action do kubernetes-master/0

docs/getting-started-guides/logging.md

@@ -18,12 +18,12 @@ monitoring-heapster-v1-20ej                    0/1       Running   9          32
 
 Here is the same information in a picture which shows how the pods might be placed on specific nodes.
 
-![Cluster](/examples/blog-logging/diagrams/cloud-logging.png)
+![Cluster](../../examples/blog-logging/diagrams/cloud-logging.png)
 
 This diagram shows four nodes created on a Google Compute Engine cluster with the name of each VM node on a purple background. The internal and public IPs of each node are shown on gray boxes and the pods running in each node are shown in green boxes. Each pod box shows the name of the pod and the namespace it runs in, the IP address of the pod and the images which are run as part of the pod’s execution. Here we see that every node is running a fluentd-cloud-logging pod which is collecting the log output of the containers running on the same node and sending them to Google Cloud Logging. A pod which provides the
-[cluster DNS service](/docs/dns.md) runs on one of the nodes and a pod which provides monitoring support runs on another node.
+[cluster DNS service](../../docs/dns.md) runs on one of the nodes and a pod which provides monitoring support runs on another node.
 
-To help explain how cluster level logging works let’s start off with a synthetic log generator pod specification [counter-pod.yaml](/examples/blog-logging/counter-pod.yaml):
+To help explain how cluster level logging works let’s start off with a synthetic log generator pod specification [counter-pod.yaml](../../examples/blog-logging/counter-pod.yaml):
 ```
  apiVersion: v1
  kind: Pod
@@ -55,7 +55,7 @@ This step may take a few minutes to download the ubuntu:14.04 image during which
 
 One of the nodes is now running the counter pod:
 
-![Counter Pod](/examples/blog-logging/diagrams/27gf-counter.png)
+![Counter Pod](../../examples/blog-logging/diagrams/27gf-counter.png)
 
 When the pod status changes to `Running` we can use the kubectl logs command to view the output of this counter pod.
 
@@ -114,7 +114,7 @@ We’ve lost the log lines from the first invocation of the container in this po
 
 When a Kubernetes cluster is created with logging to Google Cloud Logging enabled, the system creates a pod called `fluentd-cloud-logging` on each node of the cluster to collect Docker container logs. These pods were shown at the start of this blog article in the response to the first get pods command.
 
-This log collection pod has a specification which looks something like this [fluentd-gcp.yaml](/cluster/saltbase/salt/fluentd-gcp/fluentd-gcp.yaml):
+This log collection pod has a specification which looks something like this [fluentd-gcp.yaml](../../cluster/saltbase/salt/fluentd-gcp/fluentd-gcp.yaml):
 
 ```
 apiVersion: v1
@@ -187,7 +187,7 @@ Now we can run queries over the ingested logs. The example below uses the [jq](h
 ...
 ```
 
-This page has touched briefly on the underlying mechanisms that support gathering cluster level logs on a Kubernetes deployment. The approach here only works for gathering the standard output and standard error output of the processes running in the pod’s containers. To gather other logs that are stored in files one can use a sidecar container to gather the required files as described at the page [Collecting log files within containers with Fluentd](/contrib/logging/fluentd-sidecar-gcp/README.md) and sending them to the Google Cloud Logging service.
+This page has touched briefly on the underlying mechanisms that support gathering cluster level logs on a Kubernetes deployment. The approach here only works for gathering the standard output and standard error output of the processes running in the pod’s containers. To gather other logs that are stored in files one can use a sidecar container to gather the required files as described at the page [Collecting log files within containers with Fluentd](../../contrib/logging/fluentd-sidecar-gcp/README.md) and sending them to the Google Cloud Logging service.
 
 Some of the material in this section also appears in the blog article [Cluster Level Logging with Kubernetes](http://blog.kubernetes.io/2015/06/cluster-level-logging-with-kubernetes.html).
 

docs/getting-started-guides/rkt/README.md

@@ -84,9 +84,9 @@ Note: CoreOS is not supported as the master using the automated launch
 scripts. The master node is always Ubuntu.
 
 ### Getting started with your cluster
-See [a simple nginx example](../../examples/simple-nginx.md) to try out your new cluster.
+See [a simple nginx example](../../../examples/simple-nginx.md) to try out your new cluster.
 
-For more complete applications, please look in the [examples directory](../../examples).
+For more complete applications, please look in the [examples directory](../../../examples/).
 
 
 [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/docs/getting-started-guides/rkt/README.md?pixel)]()

docs/getting-started-guides/scratch.md

@@ -167,7 +167,7 @@ You will need binaries for:
 #### Downloading and Extracting Kubernetes Binaries
 A Kubernetes binary release includes all the Kubernetes binaries as well as the supported release of etcd.
 You can use a Kubernetes binary release (recommended) or build your Kubernetes binaries following the instructions in the
-[Developer Documentation]( ../devel/README.md).  Only using a binary release is covered in this guide.
+[Developer Documentation](../devel/README.md).  Only using a binary release is covered in this guide.
 
 Download the [latest binary release](
 https://github.com/GoogleCloudPlatform/kubernetes/releases/latest) and unzip it.
@@ -255,8 +255,7 @@ The admin user (and any users) need:
 
 Your tokens and passwords need to be stored in a file for the apiserver
 to read.  This guide uses `/var/lib/kube-apiserver/known_tokens.csv`.
-The format for this file is described in the [authentication documentation](
-../authentication.md).
+The format for this file is described in the [authentication documentation](../authentication.md).
 
 For distributing credentials to clients, the convention in Kubernetes is to put the credentials
 into a [kubeconfig file](../kubeconfig-file.md).

docs/getting-started-guides/ubuntu.md

@@ -120,7 +120,7 @@ NAME            LABELS                                 STATUS
 
 ```
 
-Also you can run kubernetes [guest-example](../../examples/guestbook) to build a redis backend cluster on the k8s．
+Also you can run kubernetes [guest-example](../../examples/guestbook/) to build a redis backend cluster on the k8s．
 
 
 #### Deploy addons

docs/glossary.md

@@ -3,7 +3,7 @@
 
 **Authorization**
 :Kubernetes does not currently have an authorization system.  Anyone with the cluster password can do anything.  We plan
-to add sophisticated authorization, and to make it pluggable.  See the [access control design doc](./design/access.md) and
+to add sophisticated authorization, and to make it pluggable.  See the [access control design doc](design/access.md) and
 [this issue](https://github.com/GoogleCloudPlatform/kubernetes/issues/1430).
 
 **Annotation**
@@ -11,11 +11,11 @@ to add sophisticated authorization, and to make it pluggable.  See the [access c
 non-identifying metadata associated with an object, such as provenance information.  Not indexed.
 
 **Image**
-: A [Docker Image](https://docs.docker.com/userguide/dockerimages/).  See [images](./images.md).
+: A [Docker Image](https://docs.docker.com/userguide/dockerimages/).  See [images](images.md).
 
 **Label**
 : A key/value pair conveying user-defined identifying attributes of an object, and used to form sets of related objects, such as
-pods which are replicas in a load-balanced service.  Not intended to hold large or non-human-readable data.  See [labels](./labels.md).
+pods which are replicas in a load-balanced service.  Not intended to hold large or non-human-readable data.  See [labels](labels.md).
 
 **Name**
 : A user-provided name for an object.  See [identifiers](identifiers.md).
@@ -26,7 +26,7 @@ so you do not have to type it all the time. Namespaces allow multiple projects t
 
 **Pod**
 : A collection of containers which will be scheduled onto the same node, which share and an IP and port space, and which
-can be created/destroyed together.  See [pods](./pods.md).
+can be created/destroyed together.  See [pods](pods.md).
 
 **Replication Controller**
 : A _replication controller_ ensures that a specified number of pod "replicas" are running at any one time. Both allows
@@ -43,7 +43,7 @@ for easy scaling of replicated systems, and handles restarting of a Pod when the
 service.  See [labels](labels.md).
 
 **Service**
-: A load-balanced set of `pods` which can be accessed via a single stable IP address.  See [services](./services.md).
+: A load-balanced set of `pods` which can be accessed via a single stable IP address.  See [services](services.md).
 
 **UID**
 : An identifier on all Kubernetes objects that is set by the Kubernetes API server.  Can be used to distinguish between historical

docs/high-availability.md

@@ -46,11 +46,11 @@ choices. For example, on systemd-based systems (e.g. RHEL, CentOS), you can run
 If you are extending from a standard Kubernetes installation, the ```kubelet``` binary should already be present on your system.  You can run
 ```which kubelet``` to determine if the binary is in fact installed.  If it is not installed,
 you should install the [kubelet binary](https://storage.googleapis.com/kubernetes-release/release/v0.19.3/bin/linux/amd64/kubelet), the
-[/etc/init.d/kubelet](high-availability/init-kubelet) and [/etc/default/kubelet](high-availability/default-kubelet)
+[high-availability/init-kubelet](high-availability/init-kubelet) and [high-availability/default-kubelet](high-availability/default-kubelet)
 scripts.
 
-If you are using monit, you should also install the monit daemon (```apt-get install monit```) and the [/etc/monit/conf.d/kubelet](high-availability/monit-kubelet) and
-[/etc/monit/conf.d/docker](high-availability/monit-docker) configs.
+If you are using monit, you should also install the monit daemon (```apt-get install monit```) and the [high-availability/monit-kubelet](high-availability/monit-kubelet) and
+[high-availability/monit-docker](high-availability/monit-docker) configs.
 
 On systemd systems you ```systemctl enable kubelet``` and ```systemctl enable docker```.
 

docs/kubeconfig-file.md

@@ -83,7 +83,7 @@ The rules for loading and merging the kubeconfig files are straightforward, but
 
 ## Manipulation of kubeconfig via `kubectl config <subcommand>`
 In order to more easily manipulate kubeconfig files, there are a series of subcommands to `kubectl config` to help.
-See [docs/kubectl_config.md](kubectl_config.md) for help.
+See [kubectl_config.md](kubectl_config.md) for help.
 
 ### Example
 ```

docs/logging.md

@@ -6,7 +6,7 @@ Kubernetes components, such as kubelet and apiserver, use the [glog](https://god
 ## Examining the logs of running containers
 The logs of a running container may be fetched using the command `kubectl logs`. For example, given
 this pod specification which has a container which writes out some text to standard
-output every second [counter-pod.yaml](/examples/blog-logging/counter-pod.yaml):
+output every second [counter-pod.yaml](../examples/blog-logging/counter-pod.yaml):
 ```
  apiVersion: v1
  kind: Pod
@@ -66,6 +66,6 @@ describes how to ingest cluster level logs into Elasticsearch and view them usin
 
 ## Ingesting Application Log Files
 Cluster level logging only collects the standard output and standard error output of the applications
-running in containers. The guide [Collecting log files within containers with Fluentd](/contrib/logging/fluentd-sidecar-gcp/README.md) explains how the log files of applications can also be ingested into Google Cloud logging.
+running in containers. The guide [Collecting log files within containers with Fluentd](../contrib/logging/fluentd-sidecar-gcp/README.md) explains how the log files of applications can also be ingested into Google Cloud logging.
 
 [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/docs/logging.md?pixel)]()

docs/networking.md

@@ -171,7 +171,7 @@ people have reported success with Flannel and Kubernetes.
 
 ### OpenVSwitch
 
-[OpenVSwitch](./ovs-networking.md) is a somewhat more mature but also
+[OpenVSwitch](ovs-networking.md) is a somewhat more mature but also
 complicated way to build an overlay network.  This is endorsed by several of the
 "Big Shops" for networking.
 

docs/ovs-networking.md

@@ -3,7 +3,7 @@
 This document describes how OpenVSwitch is used to setup networking between pods across nodes.
 The tunnel type could be GRE or VxLAN. VxLAN is preferable when large scale isolation needs to be performed within the network.
 
-![ovs-networking](./ovs-networking.png "OVS Networking")
+![ovs-networking](ovs-networking.png "OVS Networking")
 
 The vagrant setup in Kubernetes does the following:
 

docs/persistent-volumes.md

 # Persistent Volumes and Claims
 
-This document describes the current state of `PersistentVolumes` in Kubernetes.  Familiarity with [volumes](./volumes.md) is suggested.
+This document describes the current state of `PersistentVolumes` in Kubernetes.  Familiarity with [volumes](volumes.md) is suggested.
 
 Managing storage is a distinct problem from managing compute. The `PersistentVolume` subsystem provides an API for users and administrators that abstracts details of how storage is provided from how it is consumed.  To do this we introduce two new API resources:  `PersistentVolume` and `PersistentVolumeClaim`.
 
@@ -8,7 +8,7 @@ A `PersistentVolume` (PV) is a piece of networked storage in the cluster that ha
 
 A `PersistentVolumeClaim` (PVC) is a request for storage by a user.  It is similar to a pod.  Pods consume node resources and PVCs consume PV resources.  Pods can request specific levels of resources (CPU and Memory).  Claims can request specific size and access modes (e.g, can be mounted once read/write or many times read-only).  
 
-Please see the [detailed walkthrough with working examples](../examples/persistent-volumes).
+Please see the [detailed walkthrough with working examples](../examples/persistent-volumes/).
 
 
 ## Lifecycle of a volume and claim
@@ -77,7 +77,7 @@ Each PV contains a spec and status, which is the specification and status of the
 
 ### Capacity
 
-Generally, a PV will have a specific storage capacity.  This is set using the PV's `capacity` attribute.  See the Kubernetes [Resource Model](./design/resources.md) to understand the units expected by `capacity`.
+Generally, a PV will have a specific storage capacity.  This is set using the PV's `capacity` attribute.  See the Kubernetes [Resource Model](design/resources.md) to understand the units expected by `capacity`.
 
 Currently, storage size is the only resource that can be set or requested.  Future attributes may include IOPS, throughput, etc.
 
@@ -145,7 +145,7 @@ Claims use the same conventions as volumes when requesting storage with specific
 
 ### Resources
 
-Claims, like pods, can request specific quantities of a resource.  In this case, the request is for storage.  The same [resource model](./design/resources.md) applies to both volumes and claims.
+Claims, like pods, can request specific quantities of a resource.  In this case, the request is for storage.  The same [resource model](design/resources.md) applies to both volumes and claims.
 
 ## <a name="claims-as-volumes"></a> Claims As Volumes
 

docs/salt.md

@@ -95,7 +95,7 @@ We should define a grains.conf key that captures more specifically what network
 
 ## Further reading
 
-The [cluster/saltbase](../cluster/saltbase) tree has more details on the current SaltStack configuration.
+The [cluster/saltbase](../cluster/saltbase/) tree has more details on the current SaltStack configuration.
 
 
 [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/docs/salt.md?pixel)]()

docs/secrets.md

@@ -98,15 +98,13 @@ You can package many files into one secret, or use many secrets,
 whichever is convenient.
 
 ### Manually specifying an imagePullSecret
-Use of imagePullSecrets is desribed in the [images documentation](
-images.md#specifying-imagepullsecrets-on-a-pod)
+Use of imagePullSecrets is desribed in the [images documentation](images.md#specifying-imagepullsecrets-on-a-pod)
 ### Automatic use of Manually Created Secrets
 
 *This feature is planned but not implemented.  See [issue
 9902](https://github.com/GoogleCloudPlatform/kubernetes/issues/9902).*
 
-You can reference manually created secrets from a [service account](
-service_accounts.md).
+You can reference manually created secrets from a [service account](service_accounts.md).
 Then, pods which use that service account will have
 `volumeMounts` and/or `imagePullSecrets` added to them.
 The secrets will be mounted at **TBD**.

docs/sharing-clusters.md

@@ -102,7 +102,7 @@ scp host2:/path/to/home2/.kube/config path/to/other/.kube/config
 
 export $KUBECONFIG=path/to/other/.kube/config
 ```
-Detailed examples and explanation of `kubeconfig` loading/merging rules can be found in [kubeconfig-file.md](./kubeconfig-file.md).
+Detailed examples and explanation of `kubeconfig` loading/merging rules can be found in [kubeconfig-file.md](kubeconfig-file.md).
 
 
 

docs/user-guide.md

@@ -38,7 +38,7 @@ kubernetes API, or to contribute directly to the kubernetes project.
   (e.g. ssh keys, passwords) separately from the Pods that use them, protecting
   the sensitive data from proliferation by tools that process pods.
 
-* **Accessing the API and other cluster services via a Proxy** [accessing-the-cluster.md](../docs/accessing-the-cluster.md)
+* **Accessing the API and other cluster services via a Proxy** [docs/accessing-the-cluster.md](../docs/accessing-the-cluster.md)
 
 * **API Overview** ([api.md](api.md)): Pointers to API documentation on various topics
   and explanation of Kubernetes's approaches to API changes and API versioning.

docs/volumes.md

@@ -7,7 +7,7 @@ container starts with a clean slate.  second, when running containers together
 in a `Pod` it is often necessary to share files between those containers.  The
 Kubernetes `Volume` abstraction solves both of these problems.
 
-Familiarity with [pods](./pods.md) is suggested.
+Familiarity with [pods](pods.md) is suggested.
 
 ## Background
 
@@ -332,7 +332,7 @@ medium of the filesystem holding the kubelet root dir (typically
 pods.
 
 In the future, we expect that `emptyDir` and `hostPath` volumes will be able to
-request a certain amount of space using a [resource](./compute_resources.md)
+request a certain amount of space using a [resource](compute_resources.md)
 specification, and to select the type of media to use, for clusters that have
 several media types.