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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 Binary Releases

Every release of Helm provides binary releases for a variety of OSes. These binary versions can be manually downloaded and installed.

  1. Download your desired version
  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 Script

Helm now has an installer script that will automatically grab the latest version of the Helm client and install it locally.

You can fetch that script, and then execute it locally. It's well documented so that you can read through it and understand what it is doing before you run it.

$ curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get > get_helm.sh
$ chmod 700 get_helm.sh
$ ./get_helm.sh

Yes, you can curl ...| bash that if you want to live on the edge.

From Canary Builds

"Canary" builds are versions of the Helm software that are built from the latest master branch. They are not official releases, and may not be stable. However, they offer the opportunity to test the cutting edge features.

Canary Helm binaries are stored in the Kubernetes Helm GCS bucket. Here are links to the common builds:

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 with glide and Mercurial installed.

$ 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.

You can explicitly tell helm init to...

  • Install the canary build with the --canary-image flag
  • Install a particular image (version) with --tiller-image
  • Install to a particular cluster with --kube-context

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.)

Installing Tiller Canary Builds

Canary images are built from the master branch. They may not be stable, but they offer you the chance to test out the latest features.

The easiest way to install a canary image is to use helm init with the --canary-image flag:

$ helm init --canary-image

This will use the most recently built container image. You can always uninstall Tiller by deleting the Tiller deployment from the kube-system namespace using kubectl.

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:

$ 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.

$ 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.

Deleting or Reinstalling Tiller

Because Tiller stores its data in Kubernetes ConfigMaps, you can safely delete and re-install Tiller without worrying about losing any data. The recommended way of deleting Tiller is with kubectl delete deployment tiller-deploy --namespace kube-system

To simply update Tiller to run the latest image, you can run this command:

$ export TILLER_TAG=v2.0.0-beta.1        # Or whatever version you want
$ kubectl --namespace=kube-system set image deployments/tiller-deploy tiller=gcr.io/kubernetes-helm/tiller:$TILLER_TAG
deployment "tiller-deploy" image updated

Setting TILLER_TAG=canary will get the latest snapshot of master.

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.