Before starting with installation, make sure you meet all the requirements. In particular, you should pay attention to network addon compatibility.
If you’re trying to run MetalLB on a cloud platform, you should also look at the cloud compatibility page and make sure your cloud platform can work with MetalLB (most cannot).
There are two supported ways to install MetalLB: using Kubernetes manifests, or using the Helm package manager.
To install MetalLB, simply apply the manifest:
kubectl apply -f https://raw.githubusercontent.com/google/metallb/v0.8.2/manifests/metallb.yaml
This will deploy MetalLB to your cluster, under the metallb-system
namespace. The components in the manifest are:
metallb-system/controller
deployment. This is the cluster-wide
controller that handles IP address assignments.metallb-system/speaker
daemonset. This is the component that
speaks the protocol(s) of your choice to make the services
reachable.The installation manifest does not include a configuration file. MetalLB’s components will still start, but will remain idle until you define and deploy a configmap.
Due to code review turnaround time, it usually takes a few days after each MetalLB release before the Helm chart is updated in the stable repository.
If you’re coming here shortly after a new release, you may end up installing an older version of MetalLB if you use Helm. This mismatch usually gets fixed within 2-3 days.
MetalLB maintains a Helm package in the stable
package
repository. If you use the Helm package manager in your cluster, you
can install MetalLB that way.
helm install --name metallb stable/metallb
Although Helm allows you to easily deploy multiple releases at the same time, you should not do this with MetalLB! Multiple copies of MetalLB will conflict with each other and lead to cluster instability.
By default, the helm chart looks for MetalLB configuration in the
metallb-config
ConfigMap, in the namespace you deployed to. It’s up
to you
to define and deploy
that configuration.
Alternatively, you can manage the configuration with Helm itself, by
putting the configuration under the config.inline
key in your
values.yaml
.