Using Config Files¶
The config file feature is available as of k3d v4.0.0
Introduction¶
Syntax & Semantics
The options defined in the config file are not 100% the same as the CLI flags.
This concerns naming and style/usage/structure, e.g.
--api-port
is split up into a field namedkubeAPI
that has 3 different “child fields” (host
,hostIP
andhostPort
)- k3d options are bundled in a scope named
options.k3d
, where--no-rollback
is defined asoptions.k3d.disableRollback
- repeatable flags (like
--port
) are reflected as YAML lists
Usage¶
Using a config file is as easy as putting it in a well-known place in your file system and then referencing it via flag:
- All options in config file:
k3d cluster create --config /home/me/my-awesome-config.yaml
(must be.yaml
/.yml
) - With CLI override (name):
k3d cluster create somename --config /home/me/my-awesome-config.yaml
- With CLI override (extra volume):
k3d cluster create --config /home/me/my-awesome-config.yaml --volume '/some/path:/some:path@server:0'
Required Fields¶
As of the time of writing this documentation, the config file only requires you to define two fields:
apiVersion
to match the version of the config file that you want to use (at this time it would beapiVersion: k3d.io/v1alpha4
)kind
to define the kind of config file that you want to use (currently we only have theSimple
config)
So this would be the minimal config file, which configures absolutely nothing:
apiVersion: k3d.io/v1alpha4
kind: Simple
Config Options¶
The configuration options for k3d are continuously evolving and so is the config file (syntax) itself.
Currently, the config file is still in an Alpha-State, meaning, that it is subject to change anytime (though we try to keep breaking changes low).
Validation via JSON-Schema
k3d uses a JSON-Schema to describe the expected format and fields of the configuration file.
This schema is also used to validate a user-given config file.
This JSON-Schema can be found in the specific config version sub-directory in the repository (e.g. here for v1alpha4
) and could be used to lookup supported fields or by linters to validate the config file, e.g. in your code editor.
All Options: Example¶
Since the config options and the config file are changing quite a bit, it’s hard to keep track of all the supported config file settings, so here’s an example showing all of them as of the time of writing:
# k3d configuration file, saved as e.g. /home/me/myk3dcluster.yaml
apiVersion: k3d.io/v1alpha4 # this will change in the future as we make everything more stable
kind: Simple # internally, we also have a Cluster config, which is not yet available externally
metadata:
name: mycluster # name that you want to give to your cluster (will still be prefixed with `k3d-`)
servers: 1 # same as `--servers 1`
agents: 2 # same as `--agents 2`
kubeAPI: # same as `--api-port myhost.my.domain:6445` (where the name would resolve to 127.0.0.1)
host: "myhost.my.domain" # important for the `server` setting in the kubeconfig
hostIP: "127.0.0.1" # where the Kubernetes API will be listening on
hostPort: "6445" # where the Kubernetes API listening port will be mapped to on your host system
image: rancher/k3s:v1.20.4-k3s1 # same as `--image rancher/k3s:v1.20.4-k3s1`
network: my-custom-net # same as `--network my-custom-net`
subnet: "172.28.0.0/16" # same as `--subnet 172.28.0.0/16`
token: superSecretToken # same as `--token superSecretToken`
volumes: # repeatable flags are represented as YAML lists
- volume: /my/host/path:/path/in/node # same as `--volume '/my/host/path:/path/in/node@server:0;agent:*'`
nodeFilters:
- server:0
- agent:*
ports:
- port: 8080:80 # same as `--port '8080:80@loadbalancer'`
nodeFilters:
- loadbalancer
env:
- envVar: bar=baz # same as `--env 'bar=baz@server:0'`
nodeFilters:
- server:0
registries: # define how registries should be created or used
create: # creates a default registry to be used with the cluster; same as `--registry-create registry.localhost`
name: registry.localhost
host: "0.0.0.0"
hostPort: "5000"
use:
- k3d-myotherregistry:5000 # some other k3d-managed registry; same as `--registry-use 'k3d-myotherregistry:5000'`
config: | # define contents of the `registries.yaml` file (or reference a file); same as `--registry-config /path/to/config.yaml`
mirrors:
"my.company.registry":
endpoint:
- http://my.company.registry:5000
options:
k3d: # k3d runtime settings
wait: true # wait for cluster to be usable before returining; same as `--wait` (default: true)
timeout: "60s" # wait timeout before aborting; same as `--timeout 60s`
disableLoadbalancer: false # same as `--no-lb`
disableImageVolume: false # same as `--no-image-volume`
disableRollback: false # same as `--no-Rollback`
loadbalancer:
configOverrides:
- settings.workerConnections=2048
k3s: # options passed on to K3s itself
extraArgs: # additional arguments passed to the `k3s server|agent` command; same as `--k3s-arg`
- arg: --tls-san=my.host.domain
nodeFilters:
- server:*
nodeLabels:
- label: foo=bar # same as `--k3s-node-label 'foo=bar@agent:1'` -> this results in a Kubernetes node label
nodeFilters:
- agent:1
kubeconfig:
updateDefaultKubeconfig: true # add new cluster to your default Kubeconfig; same as `--kubeconfig-update-default` (default: true)
switchCurrentContext: true # also set current-context to the new cluster's context; same as `--kubeconfig-switch-context` (default: true)
runtime: # runtime (docker) specific options
gpuRequest: all # same as `--gpus all`
labels:
- label: bar=baz # same as `--runtime-label 'bar=baz@agent:1'` -> this results in a runtime (docker) container label
nodeFilters:
- agent:1
Tips¶
- k3d expands environment variables (
$VAR
or${VAR}
) unconditionally in the config file, even before processing it in any way.
Config File vs. CLI Flags¶
k3d uses Cobra
and Viper
for CLI and general config handling respectively.
This automatically introduces a “config option order of priority” (precedence order):
Config Precedence Order
Source: spf13/viper#why-viper
Internal Setting > CLI Flag > Environment Variable > Config File > (k/v store >) Defaults
This means, that you can define e.g. a “base configuration file” with settings that you share across different clusters and override only the fields that differ between those clusters in your CLI flags/arguments.
For example, you use the same config file to create three clusters which only have different names and kubeAPI
(--api-port
) settings.
References¶
- k3d demo repository: https://github.com/iwilltry42/k3d-demo/blob/main/README.md#config-file-support
- SUSE Blog: https://www.suse.com/c/introduction-k3d-run-k3s-docker-src/ (Search for
The “Configuration as Code” Way
)