In my last weeks, I had to work with deployments of OpenNMS with Kubernetes. Instead of spending dollars on cloud providers for my lab, I’ve bought a beefy cheap box for my home network for less than 1.500,-€ about a year ago. It saved me probably already more than I would have spent on similar resources in the cloud for my playgrounds. It has an Intel(R) Core(TM) i9-10880H CPU, 64 GB RAM, and 2 TB SSD which has enough steam to run VMware ESXi on it. The main goal for this lab is, to have something you can quickly ditch into the bin and rebuild from scratch without worrying, and at the beginning of something new, you’ll break it a lot for sure :)
I’ve quickly found k0s which made it super easy to deploy a 3 node cluster in VMs. All you need are 3 Ubuntu machines, SSH access, and following the “Install using k0sctl” instructions. With a 3 node cluster I need shared storage, I’ve found a few descriptions using good old NFS which sounds good for my needs. It makes it also very easy to get access to the storage from other systems and it seems it can make my life easier. I’ve used MetalLB to get traffic into my cluster, which is also mentioned in the k0s docs. It is a pretty straightforward setup when you use kustomize.
I like Traefik in my current Docker environments, especially when you use Let’s Encrypt as I do. Here is the cookbook for my future self and some people who want to break stuff as well :)
Let’s start with shared storage, NFS for the rescue
Having more than 2 K8s nodes which can run pods, gets you a bit closer to what happens in the real world.
I describe using NFS as shared storage and I’ve exported a shared directory in
Installing the NFS provisioner comes with a Helm chart and is pretty straightforward.
helm install nfs-subdir-external-provisioner nfs-subdir-external-provisioner/nfs-subdir-external-provisioner \ --set nfs.server=<my-nfs-server> \ --set nfs.path=/data
There is nothing without networking
Deploying a pod is one piece, but actual serving traffic is a different one.
MetalLB is pretty awesome and offers L2 and L3 load balancing services for your cluster.
I’ve started with the simple L2 approach to get things done.
The fact of having a per node traffic bottleneck is a luxury problem I don’t have right now :)
Configuring and deploying MetalLB is similar, I use kustomize and a
Give it an IP range from your local network, and you are good to go.
I have these files in a
metallb folder which you can dump into a GitHub repo.
--- apiVersion: v1 kind: ConfigMap metadata: namespace: metallb-system name: config data: config: | address-pools: - name: default protocol: layer2 addresses: - 192.168.0.128-192.168.0.191
kustomization.yaml in the same folder as the
--- # kustomization.yml namespace: metallb-system resources: - github.com/metallb/metallb/manifests?ref=v0.11.0 - configmap.yaml
So all you need to do for a deployment is run the kustomize build command:
cd metallb kustomize build | kubectl apply -f -
Serving HTTP with TLS
I want to deploy web services with HTTP and TLS. I’m using Traefik with Let’s Encrypt in my docker-compose stacks. I’ve described this use case here. Having the same in my k8s playground would be nice.
To get Let’s Encrypt certificates, I’ve used the TLS challenge.
The traffic comes into my network with a simple port forwarding for HTTP/HTTPs to the assigned ingress service IP from my Traefik deployment.
I’ve stored the certificates in volume, that way I can reuse them and don’t have to recreate them all the time when pods restart.
It was very helpful having two certificate resolvers, one I’ve called
le-staging and the other one
I can use the
le-staging resolver for troubleshooting and first trials, without worrying to hit the Let’s Encrypt rate limits.
The default TLS options are here to get a better SSL Labs rating.
The Traefik deployment is done using a Helm chart and customize it with a
--- logs: general: level: INFO access: enabled: true format: json persistence: enabled: true name: traefik-data accessMode: ReadWriteOnce size: 128Mi storageClass: nfs-client path: /data resources: requests: cpu: "100m" memory: "50Mi" limits: cpu: "300m" memory: "150Mi" tlsOptions: default: sniStrict: true preferServerCipherSuites: true minVersion: VersionTLS12 cipherSuites: - TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256 - TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 - TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384 - TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 - TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305 - TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305 curvePreferences: - CurveP521 - CurveP384 additionalArguments: - '--global.sendanonymoususage=false' - '--certificatesresolvers.le-staging.acme.tlschallenge=true' - '--certificatesresolvers.le-staging.acme.email=<your-mail-address>' - '--certificatesresolvers.le-staging.acme.storage=/data/acme-staging.json' - '--certificatesresolvers.le-staging.acme.caserver=https://acme-staging-v02.api.letsencrypt.org/directory' - '--certificatesresolvers.le.acme.tlschallenge=true' - '--certificatesresolvers.le.acme.email=<your-mail-address>' - '--certificatesresolvers.le.acme.storage=/data/acme.json' - '--certificatesresolvers.le.acme.caserver=https://acme-v02.api.letsencrypt.org/directory' - '--entrypoints.web.http.redirections.entryPoint.to=:443' - '--entrypoints.web.http.redirections.entryPoint.scheme=https' - '--entrypoints.web.http.redirections.entrypoint.permanent=true'
So all you need now is to deploy an ingress route custom resource definition like this:
--- apiVersion: traefik.containo.us/v1alpha1 kind: IngressRoute metadata: name: <an-ingress-route-name> spec: entryPoints: - websecure routes: - kind: Rule match: Host(`<your-fqdn-here>`) services: - kind: Service name: <name-of-your-service> port: 80 tls: certResolver: le
Traefik takes care of the cert handling.
In case you need Let’s Encrypt troubleshooting, the site letsdebug helped me quite a lot to figure things out.
Watch out if you have IPv6 services reachable, your cluster in this setup is IPv4 only.
IPv6 is preferred which leads to weird behaviors getting Let’s Encrypt certificates for FDQNs published with IPv6 in DNS.
So hope this helps, greetings to my future self from the past and anyone else who find this useful.
gl & hf