mirror of https://github.com/k3s-io/k3s
230 lines
7.3 KiB
Markdown
230 lines
7.3 KiB
Markdown
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
|
|
|
|
<!-- BEGIN STRIP_FOR_RELEASE -->
|
|
|
|
<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
|
|
width="25" height="25">
|
|
<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
|
|
width="25" height="25">
|
|
<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
|
|
width="25" height="25">
|
|
<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
|
|
width="25" height="25">
|
|
<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
|
|
width="25" height="25">
|
|
|
|
<h2>PLEASE NOTE: This document applies to the HEAD of the source tree</h2>
|
|
|
|
If you are using a released version of Kubernetes, you should
|
|
refer to the docs that go with that version.
|
|
|
|
<!-- TAG RELEASE_LINK, added by the munger automatically -->
|
|
<strong>
|
|
The latest release of this document can be found
|
|
[here](http://releases.k8s.io/release-1.1/docs/getting-started-guides/docker.md).
|
|
|
|
Documentation for other releases can be found at
|
|
[releases.k8s.io](http://releases.k8s.io).
|
|
</strong>
|
|
--
|
|
|
|
<!-- END STRIP_FOR_RELEASE -->
|
|
|
|
<!-- END MUNGE: UNVERSIONED_WARNING -->
|
|
Running Kubernetes locally via Docker
|
|
-------------------------------------
|
|
|
|
**Table of Contents**
|
|
|
|
- [Overview](#overview)
|
|
- [Prerequisites](#prerequisites)
|
|
- [Run it](#run-it)
|
|
- [Download kubectl](#download-kubectl)
|
|
- [Test it out](#test-it-out)
|
|
- [Run an application](#run-an-application)
|
|
- [Expose it as a service](#expose-it-as-a-service)
|
|
- [Deploy a DNS](#deploy-a-dns)
|
|
- [A note on turning down your cluster](#a-note-on-turning-down-your-cluster)
|
|
- [Troubleshooting](#troubleshooting)
|
|
|
|
### Overview
|
|
|
|
The following instructions show you how to set up a simple, single node Kubernetes cluster using Docker.
|
|
|
|
Here's a diagram of what the final result will look like:
|
|
![Kubernetes Single Node on Docker](k8s-singlenode-docker.png)
|
|
|
|
### Prerequisites
|
|
|
|
1. You need to have docker installed on one machine.
|
|
2. Decide what Kubernetes version to use. Set the `${K8S_VERSION}` variable to
|
|
a released version of Kubernetes >= "1.2.0-alpha.7"
|
|
|
|
### Run it
|
|
|
|
```sh
|
|
docker run \
|
|
--volume=/:/rootfs:ro \
|
|
--volume=/sys:/sys:ro \
|
|
--volume=/var/lib/docker/:/var/lib/docker:rw \
|
|
--volume=/var/lib/kubelet/:/var/lib/kubelet:rw \
|
|
--volume=/var/run:/var/run:rw \
|
|
--net=host \
|
|
--pid=host \
|
|
--privileged=true \
|
|
-d \
|
|
gcr.io/google_containers/hyperkube-amd64:v${K8S_VERSION} \
|
|
/hyperkube kubelet \
|
|
--containerized \
|
|
--hostname-override="127.0.0.1" \
|
|
--address="0.0.0.0" \
|
|
--api-servers=http://localhost:8080 \
|
|
--config=/etc/kubernetes/manifests \
|
|
--cluster-dns=10.0.0.10 \
|
|
--cluster-domain=cluster.local \
|
|
--allow-privileged=true --v=2
|
|
```
|
|
|
|
> Note that `--cluster-dns` and `--cluster-domain` is used to deploy dns, feel free to discard them if dns is not needed.
|
|
|
|
> If you would like to mount an external device as a volume, add `--volume=/dev:/dev` to the command above. It may however, cause some problems described in [#18230](https://github.com/kubernetes/kubernetes/issues/18230)
|
|
|
|
This actually runs the kubelet, which in turn runs a [pod](../user-guide/pods.md) that contains the other master components.
|
|
|
|
### Download `kubectl`
|
|
|
|
At this point you should have a running Kubernetes cluster. You can test this
|
|
by downloading the kubectl binary for `${K8S_VERSION}` (look at the URL in the
|
|
following links) and make it available by editing your PATH environment
|
|
variable.
|
|
([OS X/amd64](http://storage.googleapis.com/kubernetes-release/release/v1.2.0-alpha.7/bin/darwin/amd64/kubectl))
|
|
([OS X/386](http://storage.googleapis.com/kubernetes-release/release/v1.2.0-alpha.7/bin/darwin/386/kubectl))
|
|
([linux/amd64](http://storage.googleapis.com/kubernetes-release/release/v1.2.0-alpha.7/bin/linux/amd64/kubectl))
|
|
([linux/386](http://storage.googleapis.com/kubernetes-release/release/v1.2.0-alpha.7/bin/linux/386/kubectl))
|
|
([linux/arm](http://storage.googleapis.com/kubernetes-release/release/v1.2.0-alpha.7/bin/linux/arm/kubectl))
|
|
|
|
For example, OS X:
|
|
|
|
```console
|
|
$ wget http://storage.googleapis.com/kubernetes-release/release/v${K8S_VERSION}/bin/darwin/amd64/kubectl
|
|
$ chmod 755 kubectl
|
|
$ PATH=$PATH:`pwd`
|
|
```
|
|
|
|
Linux:
|
|
|
|
```console
|
|
$ wget http://storage.googleapis.com/kubernetes-release/release/v${K8S_VERSION}/bin/linux/amd64/kubectl
|
|
$ chmod 755 kubectl
|
|
$ PATH=$PATH:`pwd`
|
|
```
|
|
|
|
Create configuration:
|
|
|
|
```
|
|
$ kubectl config set-cluster test-doc --server=http://localhost:8080
|
|
$ kubectl config set-context test-doc --cluster=test-doc
|
|
$ kubectl config use-context test-doc
|
|
```
|
|
|
|
For Max OS X users instead of `localhost` you will have to use IP address of your docker machine,
|
|
which you can find by running `docker-machine env <machinename>` (see [documentation](https://docs.docker.com/machine/reference/env/)
|
|
for details).
|
|
|
|
### Test it out
|
|
|
|
List the nodes in your cluster by running:
|
|
|
|
```sh
|
|
kubectl get nodes
|
|
```
|
|
|
|
This should print:
|
|
|
|
```console
|
|
NAME LABELS STATUS
|
|
127.0.0.1 kubernetes.io/hostname=127.0.0.1 Ready
|
|
```
|
|
|
|
### Run an application
|
|
|
|
```sh
|
|
kubectl run nginx --image=nginx --port=80
|
|
```
|
|
|
|
Now run `docker ps` you should see nginx running. You may need to wait a few minutes for the image to get pulled.
|
|
|
|
### Expose it as a service
|
|
|
|
```sh
|
|
kubectl expose rc nginx --port=80
|
|
```
|
|
|
|
Run the following command to obtain the IP of this service we just created. There are two IPs, the first one is internal (CLUSTER_IP), and the second one is the external load-balanced IP (if a LoadBalancer is configured)
|
|
|
|
```sh
|
|
kubectl get svc nginx
|
|
```
|
|
|
|
Alternatively, you can obtain only the first IP (CLUSTER_IP) by running:
|
|
|
|
```sh
|
|
kubectl get svc nginx --template={{.spec.clusterIP}}
|
|
```
|
|
|
|
Hit the webserver with the first IP (CLUSTER_IP):
|
|
|
|
```sh
|
|
curl <insert-cluster-ip-here>
|
|
```
|
|
|
|
Note that you will need run this curl command on your boot2docker VM if you are running on OS X.
|
|
|
|
## Deploy a DNS
|
|
|
|
See [here](docker-multinode/deployDNS.md) for instructions.
|
|
|
|
### A note on turning down your cluster
|
|
|
|
Many of these containers run under the management of the `kubelet` binary, which attempts to keep containers running, even if they fail. So, in order to turn down
|
|
the cluster, you need to first kill the kubelet container, and then any other containers.
|
|
|
|
You may use `docker kill $(docker ps -aq)`, note this removes _all_ containers running under Docker, so use with caution.
|
|
|
|
### Troubleshooting
|
|
|
|
#### Node is in `NotReady` state
|
|
|
|
If you see your node as `NotReady` it's possible that your OS does not have memcg and swap enabled.
|
|
|
|
1. Your kernel should support memory and swap accounting. Ensure that the
|
|
following configs are turned on in your linux kernel:
|
|
|
|
```console
|
|
CONFIG_RESOURCE_COUNTERS=y
|
|
CONFIG_MEMCG=y
|
|
CONFIG_MEMCG_SWAP=y
|
|
CONFIG_MEMCG_SWAP_ENABLED=y
|
|
CONFIG_MEMCG_KMEM=y
|
|
```
|
|
|
|
2. Enable the memory and swap accounting in the kernel, at boot, as command line
|
|
parameters as follows:
|
|
|
|
```console
|
|
GRUB_CMDLINE_LINUX="cgroup_enable=memory swapaccount=1"
|
|
```
|
|
|
|
NOTE: The above is specifically for GRUB2.
|
|
You can check the command line parameters passed to your kernel by looking at the
|
|
output of /proc/cmdline:
|
|
|
|
```console
|
|
$ cat /proc/cmdline
|
|
BOOT_IMAGE=/boot/vmlinuz-3.18.4-aufs root=/dev/sda5 ro cgroup_enable=memory swapaccount=1
|
|
```
|
|
|
|
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
|
|
[![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/docs/getting-started-guides/docker.md?pixel)]()
|
|
<!-- END MUNGE: GENERATED_ANALYTICS -->
|