15 KiB
Using Helm
This guide explains the basics of using Helm (and Tiller) to manage
packages on your Kubernetes cluster. It assumes that you have already
installed the Helm client and the Tiller server (typically by helm init
).
If you are simply interested in running a few quick commands, you may wish to begin with the Quickstart Guide. This chapter covers the particulars of Helm commands, and explains how to use Helm.
Three Big Concepts
A Chart is a Helm package. It contains all of the resource definitions necessary to run an application, tool, or service inside of a Kubernetes cluster. Think of it like the Kubernetes equivalent of a Homebrew formula, an Apt dpkg, or a Yum RPM file.
A Repository is the place where charts can be collected and shared. It's like Perl's CPAN archive or the Fedora Package Database, but for Kubernetes packages.
A Release is an instance of a chart running in a Kubernetes cluster. One chart can often be installed many times into the same cluster. And each time it is installed, a new release is created. Consider a MySQL chart. If you want two databases running in your cluster, you can install that chart twice. Each one will have its own release, which will in turn have its own release name.
With these concepts in mind, we can now explain Helm like this:
Helm installs charts into Kubernetes, creating a new release for each installation. And to find new charts, you can search Helm chart repositories.
'helm search': Finding Charts
When you first install Helm, it is preconfigured to talk to the official
Kubernetes charts repository. This repository contains a number of
carefully curated and maintained charts. This chart repository is named
stable
by default.
You can see which charts are available by running helm search
:
$ helm search
NAME VERSION DESCRIPTION
stable/drupal 0.3.2 One of the most versatile open source content m...
stable/jenkins 0.1.0 A Jenkins Helm chart for Kubernetes.
stable/mariadb 0.5.1 Chart for MariaDB
stable/mysql 0.1.0 Chart for MySQL
...
With no filter, helm search
shows you all of the available charts. You
can narrow down your results by searching with a filter:
$ helm search mysql
NAME VERSION DESCRIPTION
stable/mysql 0.1.0 Chart for MySQL
stable/mariadb 0.5.1 Chart for MariaDB
Now you will only see the results that match your filter.
Why is
mariadb
in the list? Because its package description relates it to
MySQL. We can use helm inspect chart
to see this:
$ helm inspect stable/mariadb
Fetched stable/mariadb to mariadb-0.5.1.tgz
description: Chart for MariaDB
engine: gotpl
home: https://mariadb.org
keywords:
- mariadb
- mysql
- database
- sql
...
Search is a good way to find available packages. Once you have found a
package you want to install, you can use helm install
to install it.
'helm install': Installing a Package
To install a new package, use the helm install
command. At its
simplest, it takes only one argument: The name of the chart.
$ helm install stable/mariadb
Fetched stable/mariadb-0.3.0 to /Users/mattbutcher/Code/Go/src/k8s.io/helm/mariadb-0.3.0.tgz
happy-panda
Last Deployed: Wed Sep 28 12:32:28 2016
Namespace: default
Status: DEPLOYED
Resources:
==> extensions/Deployment
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
happy-panda-mariadb 1 0 0 0 1s
==> v1/Secret
NAME TYPE DATA AGE
happy-panda-mariadb Opaque 2 1s
==> v1/Service
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE
happy-panda-mariadb 10.0.0.70 <none> 3306/TCP 1s
Notes:
MariaDB can be accessed via port 3306 on the following DNS name from within your cluster:
happy-panda-mariadb.default.svc.cluster.local
To connect to your database run the following command:
kubectl run happy-panda-mariadb-client --rm --tty -i --image bitnami/mariadb --command -- mysql -h happy-panda-mariadb
Now the mariadb
chart is installed. Note that installing a chart
creates a new release object. The release above is named
happy-panda
. (If you want to use your own release name, simply use the
--name
flag on helm install
.)
During installation, the helm
client will print useful information
about which resources were created, what the state of the release is,
and also whether there are additional configuration steps you can or
should take.
Helm does not wait until all of the resources are running before it exits. Many charts require Docker images that are over 600M in size, and may take a long time to install into the cluster.
To keep track of a release's state, or to re-read configuration
information, you can use helm status
:
$ helm status happy-panda
Last Deployed: Wed Sep 28 12:32:28 2016
Namespace: default
Status: DEPLOYED
Resources:
==> v1/Service
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE
happy-panda-mariadb 10.0.0.70 <none> 3306/TCP 4m
==> extensions/Deployment
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
happy-panda-mariadb 1 1 1 1 4m
==> v1/Secret
NAME TYPE DATA AGE
happy-panda-mariadb Opaque 2 4m
Notes:
MariaDB can be accessed via port 3306 on the following DNS name from within your cluster:
happy-panda-mariadb.default.svc.cluster.local
To connect to your database run the following command:
kubectl run happy-panda-mariadb-client --rm --tty -i --image bitnami/mariadb --command -- mysql -h happy-panda-mariadb
The above shows the current state of your release.
Customizing the Chart Before Installing
Installing the way we have here will only use the default configuration options for this chart. Many times, you will want to customize the chart to use your preferred configuration.
To see what options are configurable on a chart, use helm inspect values
:
helm inspect values stable/mariadb
Fetched stable/mariadb-0.3.0.tgz to /Users/mattbutcher/Code/Go/src/k8s.io/helm/mariadb-0.3.0.tgz
## Bitnami MariaDB image version
## ref: https://hub.docker.com/r/bitnami/mariadb/tags/
##
## Default: none
imageTag: 10.1.14-r3
## Specify a imagePullPolicy
## Default to 'Always' if imageTag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
# imagePullPolicy:
## Specify password for root user
## ref: https://github.com/bitnami/bitnami-docker-mariadb/blob/master/README.md#setting-the-root-password-on-first-run
##
# mariadbRootPassword:
## Create a database user
## ref: https://github.com/bitnami/bitnami-docker-mariadb/blob/master/README.md#creating-a-database-user-on-first-run
##
# mariadbUser:
# mariadbPassword:
## Create a database
## ref: https://github.com/bitnami/bitnami-docker-mariadb/blob/master/README.md#creating-a-database-on-first-run
##
# mariadbDatabase:
You can then override any of these settings in a YAML formatted file, and then pass that file during installation.
$ echo 'mariadbUser: user0` > config.yaml
$ helm install -f config.yaml stable/mariadb
The above will set the default MariaDB user to user0
, but accept all
the rest of the defaults for that chart.
There are two ways to pass configuration data during install:
--values
(or-f
): Specify a YAML file with overrides. This can be specified multiple times and the rightmost file will take precedence--set
: Specify overrides on the command line.
If both are used, --set
values are merged into --values
with higher precedence.
The Format and Limitations of --set
The --set
option takes zero or more name/value pairs. At its simplest, it is
used like this: --set name=value
. The YAML equivalent of that is:
name: value
Multiple values are separated by ,
characters. So --set a=b,c=d
becomes:
a: b
c: d
More complex expressions are supported. For example, --set outer.inner=value
is
translated into this:
outer:
inner: value
Lists can be expressed by enclosing values in {
and }
. For example,
--set name={a, b, c}
translates to:
name:
- a
- b
- c
Sometimes you need to use special characters in your --set
lines. You can use
a backslash to escape the characters; --set name=value1\,value2
will become:
name: "value1,value2"
The --set
syntax is not as expressive as YAML, especially when it comes to
collections. And there is currently no method for expressing things such as "set
the third item in a list to...".
More Installation Methods
The helm install
command can install from several sources:
- A chart repository (as we've seen above)
- A local chart archive (
helm install foo-0.1.1.tgz
) - An unpacked chart directory (
helm install path/to/foo
) - A full URL (
helm install https://example.com/charts/foo-1.2.3.tgz
)
'helm upgrade' and 'helm rollback': Upgrading a Release, and Recovering on Failure
When a new version of a chart is released, or when you want to change
the configuration of your release, you can use the helm upgrade
command.
An upgrade takes an existing release and upgrades it according to the information you provide. Because Kubernetes charts can be large and complex, Helm tries to perform the least invasive upgrade. It will only update things that have changed since the last release.
$ helm upgrade -f panda.yaml happy-panda stable/mariadb
Fetched stable/mariadb-0.3.0.tgz to /Users/mattbutcher/Code/Go/src/k8s.io/helm/mariadb-0.3.0.tgz
happy-panda has been upgraded. Happy Helming!
Last Deployed: Wed Sep 28 12:47:54 2016
Namespace: default
Status: DEPLOYED
...
In the above case, the happy-panda
release is upgraded with the same
chart, but with a new YAML file:
mariadbUser: user1
We can use helm get values
to see whether that new setting took
effect.
$ helm get values happy-panda
mariadbUser: user1
The helm get
command is a useful tool for looking at a release in the
cluster. And as we can see above, it shows that our new values from
panda.yaml
were deployed to the cluster.
Now, if something does not go as planned during a release, it is easy to
roll back to a previous release using helm rollback [RELEASE] [REVISION]
.
$ helm rollback happy-panda 1
The above rolls back our happy-panda to its very first release version.
A release version is an incremental revision. Every time an install,
upgrade, or rollback happens, the revision number is incremented by 1.
The first revision number is always 1. And we can use helm history [RELEASE]
to see revision numbers for a certain release.
Helpful Options for Install/Upgrade/Rollback
There are several other helpful options you can specify for customizing the
behavior of Helm during an install/upgrade/rollback. Please note that this
is not a full list of cli flags. To see a description of all flags, just run
helm <command> --help
.
--timeout
: A value in seconds to wait for Kubernetes commands to complete This defaults to 300 (5 minutes)--wait
: Waits until all Pods are in a ready state, PVCs are bound, and Services have and IP address (and Ingress if aLoadBalancer
) before marking the release as successful. It will wait for as long as the--timeout
value. If timeout is reached, the release will be marked asFAILED
.--no-hooks
: This skips running hooks for the command--recreate-pods
(only available forupgrade
androllback
): This flag will cause all pods to be recreated (with the exception of pods belonging to deployments)
'helm delete': Deleting a Release
When it is time to uninstall or delete a release from the cluster, use
the helm delete
command:
$ helm delete happy-panda
This will remove the release from the cluster. You can see all of your
currently deployed releases with the helm list
command:
$ helm list
NAME VERSION UPDATED STATUS CHART
inky-cat 1 Wed Sep 28 12:59:46 2016 DEPLOYED alpine-0.1.0
From the output above, we can see that the happy-panda
release was
deleted.
However, Helm always keeps records of what releases happened. Need to
see the deleted releases? helm list --deleted
shows those, and helm list --all
shows all of the releases (deleted and currently deployed,
as well as releases that failed):
⇒ helm list --all
NAME VERSION UPDATED STATUS CHART
happy-panda 2 Wed Sep 28 12:47:54 2016 DELETED mariadb-0.3.0
inky-cat 1 Wed Sep 28 12:59:46 2016 DEPLOYED alpine-0.1.0
kindred-angelf 2 Tue Sep 27 16:16:10 2016 DELETED alpine-0.1.0
Because Helm keeps records of deleted releases, a release name cannot be
re-used. (If you really need to re-use a release name, you can use the
--replace
flag, but it will simply re-use the existing release and
replace its resources.)
Note that because releases are preserved in this way, you can rollback a deleted resource, and have it re-activate.
'helm repo': Working with Repositories
So far, we've been installing charts only from the stable
repository.
But you can configure helm
to use other repositories. Helm provides
several repository tools under the helm repo
command.
You can see which repositories are configured using helm repo list
:
$ helm repo list
NAME URL
stable https://kubernetes-charts.storage.googleapis.com
local http://localhost:8879/charts
mumoshu https://mumoshu.github.io/charts
And new repositories can be added with helm repo add
:
$ helm repo add dev https://example.com/dev-charts
Because chart repositories change frequently, at any point you can make
sure your Helm client is up to date by running helm repo update
.
Creating Your Own Charts
The Chart Development Guide explains how to develop your own
charts. But you can get started quickly by using the helm create
command:
$ helm create deis-workflow
Creating deis-workflow
Now there is a chart in ./deis-workflow
. You can edit it and create
your own templates.
As you edit your chart, you can validate that it is well-formatted by
running helm lint
.
When it's time to package the chart up for distribution, you can run the
helm package
command:
$ helm package deis-workflow
deis-workflow-0.1.0.tgz
And that chart can now easily be installed by helm install
:
$ helm install ./deis-workflow-0.1.0.tgz
...
Charts that are archived can be loaded into chart repositories. See the documentation for your chart repository server to learn how to upload.
Note: The stable
repository is managed on the Kubernetes Charts
GitHub repository. That project
accepts chart source code, and (after audit) packages those for you.
Conclusion
This chapter has covered the basic usage patterns of the helm
client,
including searching, installation, upgrading, and deleting. It has also
covered useful utility commands like helm status
, helm get
, and
helm repo
.
For more information on these commands, take a look at Helm's built-in
help: helm help
.
In the next chapter, we look at the process of developing charts.