HyperLap2D
talos
HyperLap2D | talos | |
---|---|---|
2 | 51 | |
365 | 6,539 | |
0.3% | 3.6% | |
8.3 | 9.8 | |
about 2 months ago | 5 days ago | |
Java | Go | |
GNU General Public License v3.0 only | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
HyperLap2D
- Do you people have any tips for handling levels ?
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HyperLap2D Presentation
Basic Wiki + Working Example here: https://github.com/rednblackgames/HyperLap2D/wiki/libgdx---Getting-Started ;)
talos
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Reclaim the Stack
Log aggregation: https://reclaim-the-stack.com/docs/platform-components/log-a...
Observability is on the whole better than what we had at Heroku since we now have direct access to realtime resource consumption of all infrastructure parts. We also have infinite log retention which would have been prohibitively expensive using Heroku logging addons (though we cap retention at 12 months for GDPR reasons).
> Who/What is going to be doing that on this new platform and how much does that cost?
Me and my colleague who created the tool together manage infrastructure / OS upgrades and look into issues etc. So far we've been in production 1.5 years on this platform. On average we spent perhaps 3 days per month doing platform related work (mostly software upgrades). The rest we spend on full stack application development.
The hypothesis for migrating to Kubernetes was that the available database operators would be robust enough to automate all common high availability / backup / disaster recovery issues. This has proven to be true, apart from the Redis operator which has been our only pain point from a software point of view so far. We are currently rolling out a replacement approach using our own Kubernetes templates instead of relying on an operator at all for Redis.
> Now you need to maintain k8s, postgresql, elasticsearch, redis, secret managements, OSs, storage... These are complex systems that require people understanding how they internally work
Thanks to Talos Linux (https://www.talos.dev/), maintaining K8s has been a non issue.
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My IRC client runs on Kubernetes
TIL about Talos (https://github.com/siderolabs/talos, via your github/onedr0p/cluster-template link). I'd been previously running k3s cluster on a mixture of x86 and ARM (RPi) nodes, and frankly it was a bit of a PiTA to maintain.
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Tailscale Kubernetes Operator
About a month ago I setup a Kubernetes cluster using Talos to handle my container load at home.
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Talos: Secure, immutable, and minimal Linux OS for running Kubernetes
I considered deploying Talos a few weeks ago, and I ran into this:
https://github.com/siderolabs/talos/issues/8367
Unless I’ve missed something, this isn’t a big deal in an AWS-style cloud where extra storage volumes (EBS, etc) have essentially no incremental cost, and maybe it’s okay on bare metal if the bare metal is explicitly designed with a completely separate boot disk (this includes Raspberry Pi using SD for boot and some other device for actual storage), but it seemed like a mostly showstopping issue for an average server that was specced with the intent to boot off a partition.
I suppose one could fudge it with NVMe namespaces if the hardware cooperates. (I’ve never personally tried setting up a nontrivial namespace setup.)
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Tau: Open-source PaaS – A self-hosted Vercel / Netlify / Cloudflare alternative
I assume https://www.talos.dev/
Basically a small OS that will prop itself up and allow you to create/adopt into a Kubernetes cluster. Seems to work well from my experience and pretty easy to get set up on.
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Ask HN: Discuss ADHD and your use of medication
First, obligatory xkcd [0].
> This challenge/solution consumed my entire interest for that day. My dopamine hit was because I wouldn't have to do the BigBoringTask ever again.
Yep. Occasionally I have to stop and remind myself that all I'm trying to do is rename 10 files (for example), and by the time I remember the {ba,z}sh-ism for parameter substitution, I could have probably manually renamed them. I usually tell myself that it's not nearly as fun, though.
This does occasionally present detrimental facets, though. I have a homelab, and as most people with one, its primary purpose is storing and serving media files (I promise I do other things too, but let's be honest – Plex is what people care about). I run apps in K3OS, which has been dead for quite some time. The NAS is in a VM under Proxmox, and I build images with Packer + Ansible. I've been wanting to shift K3OS over to Talos [1] for some time, but I had convinced myself that it was only worthwhile if all of it was in IaC, starting from PXE. I got most of the way there, and then stopped due to work taking more of my life than I wanted. Unfortunately, around this time the NAS broke (as in a hardware failure, not a software issue), and I was refusing to bring it back until the entire homelab was up to my absurd self-imposed standards. Eventually I convinced myself this was a ridiculous punishment, replaced the dead hardware, and brought it back.
[0]: https://xkcd.com/1319/
[1]: https://www.talos.dev/
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Building a Homelab, Part 4 – Nixification, Kubernetes
I had a similar nixos homelab too, but i didn't use k3s and instead used the kubernetes module.
I have since switched to Talos Linux, as the management is more "kubernetes-native" than using NixOS.
Talos Linux: https://www.talos.dev/
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There are only 12 binaries in Talos Linux
Super cool. I always enjoy reading about systems that challenge, well, "ossified" assumptions. An OS not providing a shell, for example? Madness! ... or is it genius, if the OS has a specific purpose...? It's thought-provoking, if nothing else.
I'm a bit skeptical of parts. For instance, the "init" binary being less than 400 lines of golang - wow! And sure, main.go [1] is less than 400 lines and very readable. Then you squint at the list of imported packages, or look to the left at the directory list and realize main.go isn't nearly the entire init binary.
That `talosctl list` invocation [2] didn't escape my notice either. Sure, the base OS may have only a handful of binaries - how many of those traditional utilities have been stuffed into the API server? Not that I disagree with the approach! I think every company eventually replaces direct shell access with a daemon like this. It's just that "binary footprint" can get a bit funny if you have a really sophisticated API server sitting somewhere.
[1]: https://github.com/siderolabs/talos/blob/main/internal/app/m...
[2]: https://www.talos.dev/v1.6/reference/cli/#talosctl-list
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Show HN: Workout Tracker – self-hosted, single binary web application
Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.
[1] https://www.talos.dev/
[2] https://cuelang.org/
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Google/Gvisor: Application Kernel for Containers
Looks somewhat similar to the talos Linux project[1]
[1] https://www.talos.dev/
What are some alternatives?
tiled - Flexible level editor
k3sup - bootstrap K3s over SSH in < 60s 🚀
libGDX - Desktop/Android/HTML5/iOS Java game development framework
kubespray - Deploy a Production Ready Kubernetes Cluster
Mini2Dx - A high-level cross-platform 2D game development API
microk8s - MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
talos - Talos Particle Engine
rke2
switch-xna - XBox Live Indie Game built on XNA 3.1 - released in 2010
Flatcar - Flatcar project repository for issue tracking, project documentation, etc.
gdx-fireapp - libGDX Firebase API
ansible-role-k3s - Ansible role for deploying k3s cluster