external-dns VS helm

The second one is a combination of tools: External DNS, cert-manager, and NGINX ingress. Using these as a stack, you can quickly deploy an application, making it available through a DNS with a TLS without much effort via simple annotations. When I first discovered External DNS, I was amazed at its quality.

One of the reasons why I chose Hetzner was that it WAS supported by the ExternalDNS project. I didn't quite understand why the Hetzner provider was pulled, but I saw that an attempt of re-adding it was refused, on the ground that the upcoming webhook architecture would have allowed to better maintain providers.

Write a custom controller for the external DNS controller, or setup some form of ArgoCD app / appset templating.

so I am looking at having an automated way for new routers registered in Traefik to also have the corresponding DNS entry added to my Pihole instance similar to external-dns but obviously, this is exclusive to ingress on k8s environments. my current setup is traefik in a container on unraid.

You technically don’t need to run a load balancer or have a virtual IP for your control plane. If you control your dns, you can add an A record pointing to all IPs for your control plane nodes. It won’t load balance your traffic, but combined with something like External DNS it gives you HA for the control plane.

I normally deploy external-dns, which automatically updates DNS with the ingress controller's external IP address.

Background: Having a look I can see this https://github.com/kubernetes-sigs/external-dns

3) Use the Kubernetes External-DNS. I've never used this, but this is assuming it can update DNS for each pods/app to point to the correct Node (it'd need to update my Homelab DNS running on Windows Server)

So here’s the solution I have taken for our current stack. EKS and its dependencies are created through terraform using the eks module as well as provision a route53 subdomain and a wildcard cert. Once we have that created, I have installed this deployment into the cluster via the helm module: https://kubernetes-sigs.github.io/aws-load-balancer-controller/v2.4/. This allows me to use kuberentes resources (load balancers or ingress objects) and it will handle all the provisioning of load balancers and security groups for me, based on my application yaml and annotations. We also use https://github.com/kubernetes-sigs/external-dns to manage all of our specific host names for the applications through annotations. So to generally put, terraform manages out Kubernetes clusters, and Kubernetes manages the deployment of anything needed for the application including volumes, load balancers, hostnames though Kubernetes system deployments

Metallb for your load balancer (layer2 mode will do) NginX-ingress, will be spot on for internal home apps External-dns to publish your dns record to your Dns server at home, https://github.com/kubernetes-sigs/external-dns

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.