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helm/docs/install.md

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# Installing Helm
There are two parts to Helm: The Helm client (`helm`) and the Helm
server (Tiller). This guide shows how to install the client, and then
proceeds to show two ways to install the server.
## Installing the Helm Client
The Helm client can be installed either from source, or from pre-built binary
releases.
### From the GitHub Releases
Every [release](https://github.com/kubernetes/helm/releases) of Helm
provides binary releases for a variety of OSes. These binary versions
can be manually downloaded and installed.
1. Download your [desired version](https://github.com/kubernetes/helm/releases)
2. Unpack it (`tar -zxvf helm-v2.0.0-linux-amd64.tgz`)
3. Find the `helm` binary in the unpacked directory, and move it to its
desired destination (`mv linux-amd64/helm /usr/local/bin/helm`)
From there, you should be able to run the client: `helm help`.
### From Homebrew (Mac OSX)
Members of the Kubernetes community have contributed a Helm cask built to
Homebrew. This formula is generally up to date.
```
brew cask install helm
```
(Note: There is also a formula for emacs-helm, which is a different
project.)
### From Source (Linux, Mac OSX)
Building Helm from source is slightly more work, but is the best way to
go if you want to test the latest (pre-release) Helm version.
You must have a working Go environment.
```console
$ cd $GOPATH
$ mkdir -p src/k8s.io
$ cd src/k8s.io
$ git clone https://github.com/kubernetes/helm.git
$ cd helm
$ make bootstrap build
```
The `bootstrap` target will attempt to install dependencies, rebuild the
`vendor/` tree, and validate configuration.
The `build` target will compile `helm` and place it in `bin/helm`.
Tiller is also compiled, and is placed in `bin/tiller`.
## Installing Tiller
Tiller, the server portion of Helm, typically runs inside of your
Kubernetes cluster. But for development, it can also be run locally, and
configured to talk to a remote Kubernetes cluster.
### Easy In-Cluster Installation
The easiest way to install `tiller` into the cluster is simply to run
`helm init`. This will validate that `helm`'s local environment is set
up correctly (and set it up if necessary). Then it will connect to
whatever cluster `kubectl` connects to by default (`kubectl config
view`). Once it connects, it will install `tiller` into the
`kube-system` namespace.
After `helm init`, you should be able to run `kubectl get po --namespace
kube-system` and see Tiller running.
Once Tiller is installed, running `helm version` should show you both
the client and server version. (If it shows only the client version,
`helm` cannot yet connect to the server. Use `kubectl` to see if any
`tiller` pods are running.)
### Running Tiller Locally
For development, it is sometimes easier to work on Tiller locally, and
configure it to connect to a remote Kubernetes cluster.
The process of building Tiller is explained above.
Once `tiller` has been built, simply start it:
```console
$ bin/tiller
Tiller running on :44134
```
When Tiller is running locally, it will attempt to connect to the
Kubernetes cluster that is configured by `kubectl`. (Run `kubectl config
view` to see which cluster that is.)
You must tell `helm` to connect to this new local Tiller host instead of
connecting to the one in-cluster. There are two ways to do this. The
first is to specify the `--host` option on the command line. The second
is to set the `$HELM_HOST` environment variable.
```console
$ export HELM_HOST=localhost:44134
$ helm version # Should connect to localhost.
Client: &version.Version{SemVer:"v2.0.0-alpha.4", GitCommit:"db...", GitTreeState:"dirty"}
Server: &version.Version{SemVer:"v2.0.0-alpha.4", GitCommit:"a5...", GitTreeState:"dirty"}
```
Importantly, even when running locally, Tiller will store release
configuration in ConfigMaps inside of Kubernetes.
## Conclusion
In most cases, installation is as simple as getting a pre-built `helm` binary
and running `helm init`. This document covers additional cases for those
who want to do more sophisticated things with Helm.
Once you have the Helm Client and Tiller successfully installed, you can
move on to using Helm to manage charts.