When it comes to exposing services from a Kubernetes cluster and making it accessible from outside the cluster, the recommended option is to use a load-balancer type service to redirect incoming traffic to the right pod. In a bare-metal cluster, using this type of service leaves the
EXTERNAL-IP field of the service as pending, making it unavailable outside of the cluster. Comparatively, this is a native feature of Cloud managed clusters. Let’s find out how to achieve a similar result in a bare-metal cluster.
For the past few years, managed cloud Kubernetes clusters offers have thrived with the continuous growth of Amazon EKS, Google GKE and Microsoft Azure AKS. We like tinkering and experimenting, and we find it important to have flexibility when it comes to the way we orchestrate our clusters. We opted for a bare-metal cluster as they come with improved performance thanks to lower network latency and an overall faster I/O.
As our cluster is not cloud-dependent, one crucial feature that our cluster lacks is load-balancing. Load-balancers are in charge of redirecting incoming network traffic to the node hosting the pods. They redistribute the traffic load of the cluster, providing an effective way to prevent node overload. They allow for a single point of contact between the network and the cluster.
To implement this functionality in the cluster, a pure software solution exists: MetalLB. It offers load-balancing for external services and, combined with an ingress controller, it provides a stateful layer between the network and the services. Why is it stateful? Services exposed through the ingress controller may change, nodes may fail or may be added, but the access is always done through the same IP address linked with the service exposing the ingress controller pod, without losing track of what is accessible or not.
Only using an ingress controller would mean that you must expose a node to make your services accessible, effectively creating a single point of failure for your cluster if this node goes down. In MetalLB’s Layer2 mode, the IP address of the service is not exposing a node. Moreover, a node failover is provided, meaning that if the node on which the traffic is redirected falls, another node replaces it.
We are going to see how MetalLB and nginx-ingress result in the implementation of a load-balancer in a bare-metal Kubernetes cluster.
Before beginning the explanations, we need to make sure that your cluster follows the requirements:
- A Kubernetes cluster running Kubernetes 1.13.0 or higher;
- A CNI plugin compatible with MetalLB (see MetalLB CNI compatibility list);
- Calico (mostly);
- Kube-router (mostly);
- Weave-net (mostly).
- Unique IPv4 addresses from the network of your cluster to configure IP address pools;
- UDP and TDP traffic on port 7946 must be allowed between nodes as MetalLB uses the Go Memberlist.
MetalLB must be deployed on the control-plane. The control plane manages the resources of the cluster. For low scale clusters, it refers to the master node which acts as the orchestrator of the scheduling of the pods, selecting which node to assign the pods on, and managing their lifecycle.
The deployment of MetalLB on the control-plane creates pods for the following resources:
- MetalLB controller;
- MetalLB speakers.
The controller pod manages the load-balancer configuration by using one of the IP address pools provided by the user, and distributing the IP addresses from the selected pool to the load-balancer type services.
Then, the speaker pods are deployed with their corresponding listeners and role bindings. Each worker node receives a speaker pod, and one is elected using the memberlist to be responsible for routing the traffic. If the node containing the pod is down, another pod in another node is then elected to take its place.
MetalLB has three modes:
- FRR (experimental).
In this tutorial, we are using the Layer2 mode. It involves using the Address Resolution Protocol (ARP) to resolve the MAC addresses of the nodes with IPv4 addresses.
Note: If your cluster uses IPv6 addresses, this mode uses the Neighbor Discovery Protocol (NDP) instead.
In contrast, the BGP mode, for Border Gateway Protocol, exchanges information with BGP peers in the cluster to provision the load-balancer type services with an address from one of the IP address pools.
Finally, the FRR mode is an extension of the BGP mode, allowing for Bidirectional Forwarding Detection support, making it compatible with IPv6 addresses.
Each mode has its perks and its downsides. The Layer2 mode is interesting because it provides node failover and redundancy. It is also the most easily configurable mode. Nonetheless, there are two downsides: bottlenecking and slow failover. To go more in-depth, this schema represents how MetalLB works with the Layer2 mode. It is important to note that some assumptions are presumed.
Let a cluster, composed of one master node and three worker nodes with:
- the MetalLB controller specifically requested to deploy on the master node by modifying the manifest;
- an nginx server deployment of 2 replicas and its corresponding exposed service;
- a Host Network corresponding to this subnet:
The controller generates the load-balancer IP of a load-balancer type service by selecting the first unused address of the provided IP address pool. The IP address pool must be composed of one or more unique IP addresses from the Host Network.
When data comes through the load-balancer IP, it is redirected to the elected speaker pod. In this example, the
metallb-speaker of the
worker-node-1 was elected, allowing the pod to spread the information with
kube-proxy, looking for the pod to access.
If the speaker pod node goes down, another speaker assumes its place. If we decided to add a second service of load-balancer type, its load-balancer IP would be
192.168.120.201, the next directly available IP.
Note: This mode doesn’t implement true load-balancing, as all traffic is directed towards the node with the elected speaker pod. BGP and FRR modes are more efficient for this situation, as they really dispatch the traffic as a cloud load-balancer would.
Step 1: Installation of MetalLB
To practice the installation of MetalLB on your local environment, the following manifests must be deployed on the control-plane:
namespace.yamlcreates a MetalLB namespace;
metallb.yamldeploys the MetalLB controller and speakers, as well as the role bindings and listeners that are needed.
kubectl apply -f https://raw.githubusercontent.com/metallb/metallb/v0.12.1/manifests/namespace.yaml kubectl apply -f https://raw.githubusercontent.com/metallb/metallb/v0.12.1/manifests/metallb.yaml
Once MetalLB is installed, we must configure an IP address pool. By deploying it, the controller allocates IP addresses for the load-balancer. The IP address pool allows for one or many IP addresses, depending on what we need. The allocated addresses must be part of the host network of our cluster and unique.
apiVersion: v1 kind: ConfigMap metadata: namespace: metallb-system name: config data: config: | address-pools: - name: default protocol: layer2 addresses: - ip-start-ip-stop
Save this file under the name
config-pool.yaml and simply apply it using
kubectl apply -f config-pool.yaml.
Note: It is possible to deploy more than one IP address pool.
Step 2: Testing
To avoid any confusion due to the name of the server we deploy, in the remaining sections of the article, we name:
- nginx-ingress as
nginx-ingresswhich is the ingress controller that exposes services;
- nginx server image as
nginx-serverwhich is a web server corresponding to a test service that we expose;
We deploy and expose
nginx-server on a node to test if the installation of MetalLB was successful:
kubectl create deploy nginx --image nginx kubectl expose deploy nginx --port 80 --type LoadBalancer
To access the load-balancer type service, we need to retrieve the
EXTERNAL-IP of the
INGRESS_EXTERNAL_IP=`kubectl get svc nginx -o jsonpath='.status.loadBalancer.ingress.ip'` curl $INGRESS_EXTERNAL_IP
This is the desired result:
<!DOCTYPE html> <html> <head> <title>Welcome to nginx!</title> <style> html color-scheme: light dark; body width: 35em; margin: 0 auto; font-family: Tahoma, Verdana, Arial, sans-serif; </style> </head> <body> <h1>Welcome to nginx!</h1> <p>If you see this page, the nginx web server is successfully installed and working. Further configuration is required.</p> <p>For online documentation and support please refer to <a href="http://nginx.org/">nginx.org</a>.<br/> Commercial support is available at <a href="http://nginx.com/">nginx.com</a>.</p> <p><em>Thank you for using nginx.</em></p> </body> </html>
To clean up what we used during testing, we delete what we created:
kubectl delete deployment nginx kubectl delete svc nginx
In the previous part, we managed to deploy a service and make it accessible outside of the cluster. However, it is not satisfactory because a different IP address is allocated every time we deploy a service. We wish to be able to access every service from a single IP address. To achieve this, we use
Ingresses are a way to expose services outside of the cluster. It allows for hosts and routes to be created, thus allowing DNS resolutions of IP addresses.
nginx-ingress listens and manages every service exposed on ports 80 and 443. It allows for two or more services to be exposed on the same IP address, using different hosts which means that a single IP is effectively used.
In cloud Kubernetes clusters, ingresses are exposed through load-balancers. In bare metal clusters, ingresses are usually exposed through NodePort or Host Network, which is inconvenient because it exposes a node of your cluster, thus creating a single point of failure. If this node goes down, the access to the services accessible through this node defaults on another node, meaning that you must change the IP address that you previously used, to another one of your nodes IP address.
Using both MetalLB and
nginx-ingress allow us to get even closer to a proper load-balancer by layering the access to the services. The IP address remains the same, even if a node goes down thanks to the failover mechanism of MetalLB, and the services are now centralized thanks to
Using the previously set assumptions, we update the diagram as such:
ConfigMap provides the IP pool to the load-balancer services, and the controller elects a speaker pod, as viewed previously.
1: A request arrives on
http://nginx.example.com. It is resolved as the load-balancer IP of the
2: Traffic exits the service to the elected
metallb-speaker which communicates with the other
metallb-speaker pods to redirect the traffic to the
3: Traffic goes to the
nginx-ingress-controller pod sends the traffic to the service that was requested with the hostname
nginx-server is contacted and serves the website to the outside client.
Step 1: Installation of nginx-ingress
We deploy the following manifest on a control-plane node:
kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v1.2.0/deploy/static/provider/cloud/deploy.yaml
Step 2: Verification
Using this command, we check if the
EXTERNAL-IP field is pending or not.
kubectl get service ingress-nginx-controller --namespace=ingress-nginx
Normally, the first address of the
config-map should be allocated to the
To try out our new installation, we deploy two services without specifying the type which defaults to ClusterIP. First,
- Create a deployment;
- Expose the deployment;
- Create an ingress on the
kubectl create deployment nginx --image=nginx --port=80 kubectl expose deployment nginx kubectl create ingress nginx --class=nginx \ --rule nginx.example.com/=nginx:80
Follow the same steps for the deployment of an
httpd server, which is similar to
nginx-server and is simply a service that we expose, acting as a “Hello World”, on the
kubectl create deployment httpd --image=httpd --port=80 kubectl expose deployment httpd kubectl create ingress httpd --class=nginx \ --rule httpd.example.com/=httpd:80
We shall access the websites through the host computer to see if it was exposed correctly. To make it easier to access the websites, we need to add DNS rules by appending the
/etc/hosts file on the host computer. We obtain the
INGRESS_EXTERNAL_IP=`kubectl get svc --namespace=ingress-nginx ingress-nginx-controller -o jsonpath='.status.loadBalancer.ingress.ip'` echo $INGRESS_EXTERNAL_IP
After retrieving the IP, we put the following line in
/etc/hosts, replacing the
INGRESS_EXTERNAL_IP variable with the one previously copied:
$INGRESS_EXTERNAL_IP nginx.example.com httpd.example.com.
Now, accessing the services is done on the same IP address using DNS. With curl, checking if the pages are working as intended is done by curling the
httpd.example.com hostnames, or by opening your internet explorer with the hostnames on the host computer.
curl nginx.example.com curl httpd.example.com
In case changing
/etc/hosts is not possible, curling with a header indicating the hostname on the host computer in an alternative option:
curl $INGRESS_EXTERNAL_IP -H "Host: nginx.example.com" curl $INGRESS_EXTERNAL_IP -H "Host: httpd.example.com"
You expect to see “It works” from
httpd.example.com and the same thing as in the testing of MetalLB from
To clean up what we used during testing, we delete what we created:
kubectl delete deployment nginx kubectl delete svc nginx kubectl delete ingress nginx kubectl delete deployment httpd kubectl delete svc httpd kubectl delete ingress httpd
nginx-ingress has a problem related to web hook notifications:
Internal error occurred: failed calling webhook "validate.nginx.ingress.kubernetes.io".
First, verify that all
nginx-ingress pods are up and running. You must wait for them to be ready, and this is done by using the
kubectl wait --for=condition=ready --namespace ingress-nginx --timeout=400s --all pods command.
If this didn’t solve the problem, it was mentioned in this GitHub issue which dictates that a simple workaround is to delete the validating webhook configuration like so:
kubectl delete -A ValidatingWebhookConfiguration ingress-nginx-admission.
Using a load-balancer in the form of MetalLB and using it in tandem with nginx-ingress to create a single point of contact for the services is now within your reach. It is convenient to use them as a failover mechanism for bare-metal and on-premise clusters. They are easy-to-use softwares, which, although they come with some limitations for the CNI, provide a great user experience, and are very easy to deploy.
Everything is not perfect, as it also comes with a slow response time, as well as possible bottlenecks due to the fact that it is not a true load-balancer distributing packets. It is still a useful tool that makes life overall easier.
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