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Refreshing installation instructions #7495

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Refreshing installation instructions
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132 changes: 80 additions & 52 deletions docs/getting-started-guides/ubuntu/installation.md
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Expand Up @@ -10,15 +10,17 @@ Ubuntu 16.04 introduced the [Canonical Distribution of Kubernetes](https://www.u
{% endcapture %}

{% capture prerequisites %}
- A working [Juju client](https://jujucharms.com/docs/2.2/reference-install); this does not have to be a Linux machine, it can also be Windows or OSX.
- A working [Juju client](https://jujucharms.com/docs/2.3/reference-install); this does not have to be a Linux machine, it can also be Windows or OSX.
- A [supported cloud](#cloud-compatibility).
- Bare Metal deployments are supported via [MAAS](http://maas.io). Refer to the [MAAS documentation](http://maas.io/docs/) for configuration instructions.
- OpenStack deployments are currently only tested on Icehouse and newer.
- Network access to the following domains
- *.jujucharms.com
- gcr.io
- github.com
- Access to an Ubuntu mirror (public or private)
- One of the following:
- Network access to the following domains
- *.jujucharms.com
- gcr.io
- github.com
- Access to an Ubuntu mirror (public or private)
- Offline deployment prepared with [these](https://github.com/juju-solutions/bundle-canonical-kubernetes/wiki/Running-CDK-in-a-restricted-environment) instructions.
{% endcapture %}


Expand All @@ -27,7 +29,7 @@ Ubuntu 16.04 introduced the [Canonical Distribution of Kubernetes](https://www.u
Out of the box the deployment comes with the following components on 9 machines:

- Kubernetes (automated deployment, operations, and scaling)
- Three node Kubernetes cluster with one master and two worker nodes.
- Four node Kubernetes cluster with one master and three worker nodes.
- TLS used for communication between units for security.
- Flannel Software Defined Network (SDN) plugin
- A load balancer for HA kubernetes-master (Experimental)
Expand Down Expand Up @@ -60,13 +62,26 @@ Bare Metal (MAAS) | Juju | Ubuntu | flannel, calico | [doc

For support level information on all solutions, see the [Table of solutions](/docs/getting-started-guides/#table-of-solutions) chart.

## Configure Juju to use your cloud provider
## Installation options

You can launch a cluster in one of two ways: [conjure-up](#conjure-up) or [juju deploy](#juju-deploy). Conjure-up is just a convenience wrapper over juju and simplifies the installation. As such, it is the preferred method of install.

Deployment of the cluster is [supported on a wide variety of public clouds](#cloud-compatibility), private OpenStack clouds, or raw bare metal clusters. Bare metal deployments are supported via [MAAS](http://maas.io/).

## Conjure-up
To install Kubernetes with conjure-up, you need only to run the following commands and then follow the prompts:

```
sudo snap install conjure-up --classic
conjure-up kubernetes
```
## Juju deploy

### Configure Juju to use your cloud provider

After deciding which cloud to deploy to, follow the [cloud setup page](https://jujucharms.com/docs/devel/getting-started) to configure deploying to that cloud.

Load your [cloud credentials](https://jujucharms.com/docs/2.2/credentials) for each
Load your [cloud credentials](https://jujucharms.com/docs/2.3/credentials) for each
cloud provider you would like to use.

In this example
Expand All @@ -93,11 +108,11 @@ or, another example, this time on Azure:
juju bootstrap azure/centralus
```

You will need a controller node for each cloud or region you are deploying to. See the [controller documentation](https://jujucharms.com/docs/2.2/controllers) for more information.
You will need a controller node for each cloud or region you are deploying to. See the [controller documentation](https://jujucharms.com/docs/2.3/controllers) for more information.

Note that each controller can host multiple Kubernetes clusters in a given cloud or region.

## Launch a Kubernetes cluster
### Launch a Kubernetes cluster

The following command will deploy the initial 9-node starter cluster. The speed of execution is very dependent of the performance of the cloud you're deploying to:

Expand All @@ -116,50 +131,64 @@ The `juju status` command provides information about each unit in the cluster. U
Output:

```
Model Controller Cloud/Region Version
default aws-us-east-2 aws/us-east-2 2.0.1

App Version Status Scale Charm Store Rev OS Notes
easyrsa 3.0.1 active 1 easyrsa jujucharms 3 ubuntu
etcd 3.1.2 active 3 etcd jujucharms 14 ubuntu
flannel 0.6.1 maintenance 4 flannel jujucharms 5 ubuntu
kubeapi-load-balancer 1.10.0 active 1 kubeapi-load-balancer jujucharms 3 ubuntu exposed
kubernetes-master 1.6.1 active 1 kubernetes-master jujucharms 6 ubuntu
kubernetes-worker 1.6.1 active 3 kubernetes-worker jujucharms 8 ubuntu exposed
topbeat active 3 topbeat jujucharms 5 ubuntu

Unit Workload Agent Machine Public address Ports Message
easyrsa/0* active idle 0 52.15.95.92 Certificate Authority connected.
etcd/0 active idle 3 52.15.79.127 2379/tcp Healthy with 3 known peers.
etcd/1* active idle 4 52.15.111.66 2379/tcp Healthy with 3 known peers. (leader)
etcd/2 active idle 5 52.15.144.25 2379/tcp Healthy with 3 known peers.
kubeapi-load-balancer/0* active idle 7 52.15.84.179 443/tcp Loadbalancer ready.
kubernetes-master/0* active idle 8 52.15.106.225 6443/tcp Kubernetes master services ready.
flannel/3 active idle 52.15.106.225 Flannel subnet 10.1.48.1/24
kubernetes-worker/0* active idle 9 52.15.153.246 Kubernetes worker running.
flannel/2 active idle 52.15.153.246 Flannel subnet 10.1.53.1/24
kubernetes-worker/1 active idle 10 52.15.52.103 Kubernetes worker running.
flannel/0* active idle 52.15.52.103 Flannel subnet 10.1.31.1/24
kubernetes-worker/2 active idle 11 52.15.104.181 Kubernetes worker running.
flannel/1 active idle 52.15.104.181 Flannel subnet 10.1.83.1/24

Machine State DNS Inst id Series AZ
0 started 52.15.95.92 i-06e66414008eca61c xenial us-east-2c
3 started 52.15.79.127 i-0038186d2c5103739 xenial us-east-2b
4 started 52.15.111.66 i-0ac66c86a8ec93b18 xenial us-east-2a
5 started 52.15.144.25 i-078cfe79313d598c9 xenial us-east-2c
7 started 52.15.84.179 i-00fd70321a51b658b xenial us-east-2c
8 started 52.15.106.225 i-0109a5fc942c53ed7 xenial us-east-2b
9 started 52.15.153.246 i-0ab63e34959cace8d xenial us-east-2b
10 started 52.15.52.103 i-0108a8cc0978954b5 xenial us-east-2a
11 started 52.15.104.181 i-0f5562571c649f0f2 xenial us-east-2c
Model Controller Cloud/Region Version SLA
conjure-canonical-kubern-f48 conjure-up-aws-650 aws/us-east-2 2.3.2 unsupported

App Version Status Scale Charm Store Rev OS Notes
easyrsa 3.0.1 active 1 easyrsa jujucharms 27 ubuntu
etcd 2.3.8 active 3 etcd jujucharms 63 ubuntu
flannel 0.9.1 active 4 flannel jujucharms 40 ubuntu
kubeapi-load-balancer 1.10.3 active 1 kubeapi-load-balancer jujucharms 43 ubuntu exposed
kubernetes-master 1.9.3 active 1 kubernetes-master jujucharms 13 ubuntu
kubernetes-worker 1.9.3 active 3 kubernetes-worker jujucharms 81 ubuntu exposed

Unit Workload Agent Machine Public address Ports Message
easyrsa/0* active idle 3 18.219.190.99 Certificate Authority connected.
etcd/0 active idle 5 18.219.56.23 2379/tcp Healthy with 3 known peers
etcd/1* active idle 0 18.219.212.151 2379/tcp Healthy with 3 known peers
etcd/2 active idle 6 13.59.240.210 2379/tcp Healthy with 3 known peers
kubeapi-load-balancer/0* active idle 1 18.222.61.65 443/tcp Loadbalancer ready.
kubernetes-master/0* active idle 4 18.219.105.220 6443/tcp Kubernetes master running.
flannel/3 active idle 18.219.105.220 Flannel subnet 10.1.78.1/24
kubernetes-worker/0 active idle 2 18.219.221.98 80/tcp,443/tcp Kubernetes worker running.
flannel/1 active idle 18.219.221.98 Flannel subnet 10.1.38.1/24
kubernetes-worker/1* active idle 7 18.219.249.103 80/tcp,443/tcp Kubernetes worker running.
flannel/2 active idle 18.219.249.103 Flannel subnet 10.1.68.1/24
kubernetes-worker/2 active idle 8 52.15.89.16 80/tcp,443/tcp Kubernetes worker running.
flannel/0* active idle 52.15.89.16 Flannel subnet 10.1.73.1/24

Machine State DNS Inst id Series AZ Message
0 started 18.219.212.151 i-065eab4eabc691b25 xenial us-east-2a running
1 started 18.222.61.65 i-0b332955f028d6281 xenial us-east-2b running
2 started 18.219.221.98 i-0879ef1ed95b569bc xenial us-east-2a running
3 started 18.219.190.99 i-08a7b364fc008fc85 xenial us-east-2c running
4 started 18.219.105.220 i-0f92d3420b01085af xenial us-east-2a running
5 started 18.219.56.23 i-0271f6448cebae352 xenial us-east-2c running
6 started 13.59.240.210 i-0789ef5837e0669b3 xenial us-east-2b running
7 started 18.219.249.103 i-02f110b0ab042f7ac xenial us-east-2b running
8 started 52.15.89.16 i-086852bf1bee63d4e xenial us-east-2c running

Relation provider Requirer Interface Type Message
easyrsa:client etcd:certificates tls-certificates regular
easyrsa:client kubeapi-load-balancer:certificates tls-certificates regular
easyrsa:client kubernetes-master:certificates tls-certificates regular
easyrsa:client kubernetes-worker:certificates tls-certificates regular
etcd:cluster etcd:cluster etcd peer
etcd:db flannel:etcd etcd regular
etcd:db kubernetes-master:etcd etcd regular
kubeapi-load-balancer:loadbalancer kubernetes-master:loadbalancer public-address regular
kubeapi-load-balancer:website kubernetes-worker:kube-api-endpoint http regular
kubernetes-master:cni flannel:cni kubernetes-cni subordinate
kubernetes-master:kube-api-endpoint kubeapi-load-balancer:apiserver http regular
kubernetes-master:kube-control kubernetes-worker:kube-control kube-control regular
kubernetes-worker:cni flannel:cni kubernetes-cni subordinate
```

## Interacting with the cluster

After the cluster is deployed you may assume control over the cluster from any kubernetes-master, or kubernetes-worker node.

First you need to download the credentials and client application to your local workstation:
If you didn't use conjure-up, you will first need to download the credentials and client application to your local workstation:

Create the kubectl config directory.

Expand Down Expand Up @@ -205,7 +234,7 @@ resources from Juju by using **constraints**. You can increase the amount of
CPU or memory (RAM) in any of the systems requested by Juju. This allows you
to fine tune the Kubernetes cluster to fit your workload. Use flags on the
bootstrap command or as a separate `juju constraints` command. Look to the
[Juju documentation for machine](https://jujucharms.com/docs/2.2/charms-constraints)
[Juju documentation for machine](https://jujucharms.com/docs/2.3/charms-constraints)
details.

## Scale out cluster
Expand Down Expand Up @@ -237,8 +266,7 @@ It is strongly recommended to run an odd number of units for quorum.

## Tear down cluster

If you want stop the servers you can destroy the Juju model or the
controller. Use the `juju switch` command to get the current controller name:
If you used conjure-up to create your cluster, you can tear it down with `conjure-down`. If you used juju directly, you can tear it down by destroying the Juju model or the controller. Use the `juju switch` command to get the current controller name:

```shell
juju switch
Expand Down