kdash VS k3d

A simple terminal dashboard for Kubernetes built with Rust, best alternative k9s

kdash: A fast and simple dashboard for Kubernetes. Its created by me :)

[Optional] KDash

Note: I'm using KDash to monitor the cluster; you can try it or use kubectl, k9s, and so on as you prefer.

When you communicate with a Kubernetes cluster, using kubectl, or a client library, or a tool like KDash, you are primarily interacting with the Kubernetes API server. The API server is responsible for managing the cluster and is responsible for handling requests from a client.

Mostly KDash and if possible progress on a JHipster blueprint for Rust microservices

I'm not building web-apps yet, currently i'm doing a terminal UI app. You can check the cargo.toml for deps. I'm planning to build a Rust blueprint for JHipster quite soon so I'll be able to directly compare productivity with Spring boot. And yes there is no equivalent of SB in Rust but I don't think you need that in Rust, there are great web frameworks like Actix or Rocket which provides most of what you need from SB and since you dont have to do OOP in Rust you actually dont need many Hibernate like features IMO, but you have http://diesel.rs/ to cover that.

K3D: is a lightweight distribution of Kubernetes designed for resource-constrained environments. It is an excellent option for running Kubernetes on virtual machines or cloud servers.

k3d is a lightweight wrapper that makes running Kubernetes (specifically, the lightweight k3s distribution) in Docker straightforward and efficient. It's designed to provide developers with a quick and easy way to test Kubernetes without the overhead of setting up a full cluster.

If you customer prefers to run the standard docker engine you could use k3d

You don’t need to run Rancher from a Kubernetes cluster, the rancher/rancher image works fine with Docker (it uses k3d, aka « k3s in docker » : https://k3d.io/).

K3d and Skaffold for local development

If you are a developer and want to learn how to deploy applications to a cluster, getting a cluster up an running can be a daunting task in it's own rights. There are many ways to do it: spinning up local virtual machines and configuring from scratch or using tools like minikube, etc. You may not care for the pain of setting up and configuring a cluster, and if that is you, then the quickest way that I have found is using k3d.