dashboard VS kubespray

Setting up and interacting with your first cluster can be overwhelming. Just like me, you might have come across the infamous kubernetes/dashboard, followed the installation instructions, and asked yourself: "What did I just do and why exactly does this work the way it works?" And after some tinkering with your cluster, you might have installed even more external tools that help you with some specific aspects of cluster management, providing you with either a CLI or a Web UI.

Loki needs Promtail

Kibana needs Elasticsearch

I'm not sure if this has good enough log viewing https://github.com/kubernetes/dashboard

Created service account (followed this link: https://github.com/kubernetes/dashboard/wiki/Creating-sample-user)

The Kubernetes Dashboard could work for this use case.

yaml GITHUB_URL=https://github.com/kubernetes/dashboard/releases VERSION_KUBE_DASHBOARD=$(curl -w '%{url_effective}' -I -L -s -S ${GITHUB_URL}/latest -o /dev/null | sed -e 's|.*/||') sudo k3s kubectl create -f https://raw.githubusercontent.com/kubernetes/dashboard/${VERSION_KUBE_DASHBOARD}/aio/deploy/recommended.yaml

paste the token created. Have fun! source1 source2

At the end of the guide, two web applications will be deployed: the sample ASP.NET Core app from Microsoft and Kubernetes dashboard. Both served on custom local domains with trusted TLS.

Here's an option developed by the Kubernetes folks, https://github.com/kubernetes/dashboard . There are several more options out there if you search for alternatives to this.

Kubernetes Dashboard GitHub tells:

sorry I misspoke this is the pattern I was thinking of - https://github.com/kubernetes/dashboard/blob/master/modules/web/Dockerfile

When it came to deployment, I had several options, and I chose the hard way: deploying Kubernetes on bare metal nodes using KubeSpray. Troubleshooting bare metal Kubernetes deployments honed my skills in pinpointing issues. This hands-on experience provided a deep understanding of how each component, like the Control Plane, kubelet, Container Runtime, and scheduler, interacts to orchestrate containers.

Worth noting that if you like ansible, Kubespray has had documented air-gap installation since 2018 https://github.com/kubernetes-sigs/kubespray/commit/963c3479...

calico v3.7.3 kubernetes v1.16.0 installed via kubespray https://github.com/kubernetes-sigs/kubespray

About 1yr ago I ran k8s with 300 nodes using kube spray https://github.com/kubernetes-sigs/kubespray . Never had any real issue with it. We did finally move to the cloud though.

I would highly recommend https://github.com/kubernetes-sigs/kubespray

We build our own distro called Compliant Kubernetes, and we use (a fork of) kubespray to install the base Kubernetes layer. Our distro is entirely open source, so you can use it as a reference, if you want.

If you want to run Kubernetes on VM's you can look into kubespray and play around with the options for installing and checking the configuration after the fact.