Local-Dev

Yesterday I encountered a nasty surprise after upgrading Hyprland to version 0.46.2—it crashed on startup, leaving me unable to log into my Wayland session. If you’re experiencing this problem, here’s a temporary workaround so you can keep working until a fix arrives.

The Issue

Hyprland 0.46.2 appears to crash immediately upon launch, preventing you from getting into your usual tiling window manager environment.

Update Dec 29 2024: hyprutils-git Caused Compatibility Issues

After some further digging, I discovered my Hyprland crash was caused by the AUR hyprutils-git package. I had previously switched to hyprutils-git from the AUR because I was also using hyprpolkitagent-git. Because of this, the entire Hyprland ecosystem ended up depending on the hyprutils-git package, which broke compatibility with the stable release of Hyprland in the last few updates.

Hyprland is a dynamic tiling window manager built for the modern Wayland display server protocol. This guide, we’ll walk you through the process of setting up Hyprland on your Linux system.

Why Wayland?

First and foremost, performance and reduced input lag. Wayland is a modern replacement for X11, and it has much cleaner architecture, better application separation, and improved HiDPI hardware support.

What is a Tiling Window Manager and Why Should I Care?

So, a tiling window manager, as opposed to a floating window manager, organizes your windows in a non-overlapping, grid-like pattern. It will give you a superhuman ability to fly through your windows and workspaces with hotkeys and improve your productivity.

In this first post of my new Local Dev Craft series, we will be setting up a local Kubernetes cluster using kind, KEDA, and LocalStack AWS in order to build a development/debugging environment that is similar to production. But first, let’s get familiar with the tools we are going to use here:

• Kubernetes: An open-source platform designed to automate deploying, scaling, and operating application containers.
• kind (Kubernetes in Docker): A tool for running local Kubernetes clusters using Docker container “nodes”.
• KEDA (Kubernetes Event-Driven Autoscaling): A set of components that extends Kubernetes to provide event-driven autoscaling for every container.
• LocalStack AWS: A fully functional local AWS cloud stack for testing and mocking AWS services locally.

Now that we know what we’re dealing with, let’s move on and create our local development environment that mimics our cloud setup. This setup will be a set of stateless jobs that will be spawned by KEDA events, exit after execution, and scale to zero.