core VS k3d

As a recap, StaticBackend is a simple backend server API easy to self-host or importable in Go program without hosting a separate server.

StaticBackend is a simple backend server API you may use to build complex web applications. Fully open source and easy to self-host. It handles lot of backend building blocks.

I want to put StaticBackend on your radar. It's an open-source backend API I've worked on for more than 3.5+ years.

I'd like to put StaticBackend - GitHub in your radar. It's a simple backend server API that tries to handle most of the common functiionalities found in web applications. It's open-source and very easy to self-host.

Since people often ask where they could contribute to a Go project, I thought I'd jump in as I took some times to create some good first contribution issues for StaticBackend.

It's not always present in issues what has to be done in a project. On that note, I'd shamelessly suggest to look at StaticBackend which is a backend API to help expedite v1 (MVP) launch time.

I can tell you what I like and don't like about my open source backend API (self-hosted Firebase) https://github.com/staticbackendhq/core

Hey, if you're interested in web backend I started StaticBackend - GitHub repo in 2019. It's a REST backend server which aim to provide most of the common building blocks like user authentication, database, file storage, websocket, schedule tasks, server-side function.

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.