dashboard VS tilt

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

Could improve that crappy feedback loop :)

If the language runtimes are compiled you can't do this, but if not, in theory you shouldn't need such a stupidly long core development feedback loop.

I'm a huge fan of https://tilt.dev/ and the possibilities it unlocks for that pre-commit development.

Something like https://tilt.dev/ where you spin up a subset of the service graph in a cloud environment that hot-reloads based on local edits.

To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.

It's not a direct competitor, but we use https://tilt.dev/ at my company for local and remote development.

For local testing you use tilt that runs stateful services locally in a kind k8s cluster. That same config can deploy to a remote k8s server to easily share a preview of new features, which is useful for prototyping things that might not necessarily ever be merged.

There are dedicated tools just for that. Apart from skaffold check also tilt.dev, garden.io, devspace.sh, okteto.com

You basically start by downloading kind, then tilt. Then create a kind cluster with the provided configuration in the tilt repo. Then run tilt up and that's it. You'll have a fully functional Kubernetes cluster and project running complete with deployments and services. Nothing too fancy, no RBAC, no network policies etc.. Just the bare minimum to get you up and running.

I recommend also looking into tilt.

Second, and perhaps the best of all is, that I created a tilt repository located here.

But apart from the other "k8s in a box" options (like minikube, k0s, ...) you could also have a look at tilt (https://tilt.dev/), it sounds like this might be a good fit for your use case as well.