talos VS microk8s

I think this is underrated as a design flaw for how Linux tends to be used in 2024. At its most benign it's an anachronism and potential source of complexity, as it's worst it's a major source of security flaws and unintended behavior (eg linux multitenancy was designed for two people in the same lab sharing a server, not for running completely untrusted workloads at huge scale).

I haven't had a chance to try it out but this is why I think Talos linux (https://www.talos.dev/) is a step in the right direction for Linux as it is used for cloud/servers. Though personally I think multitenancy esp. regarding containerized applications/cgroups is a bigger problem and I don't know if they're addressing that.

How to create a VM with the Talos image is beyond the scope of this article. Please refer to the official documentation for guidance. After bootstrapping the control plane, the next step is to deploy the Talos CCM along with a CNI plugin.

Maybe in the future I will try others systems, like Talos which is designed for Kubernetes - secure, immutable, and minimal.

I've used Talos Linux[1] on a production infrastructure. To keep a Maintainability. (Because there are no person to maintain a infrastructure 24/7)

All the configurations are made and came from YAML. So I can manage and share on Git. And able to spin a new node (or cluster) ASAP.

For my own, I'm using a NixOS as a daily driver. It's pretty great to spin up machine and environment ASAP. (I don't know why I keep saying `ASAP`, but time is a money.)

However the downside is require a strong knowledge of Nix Language. Sometime the installer crashses.

Without that, it's pretty great.

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[1]: https://www.talos.dev/

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.

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.

About a month ago I setup a Kubernetes cluster using Talos to handle my container load at home.

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.)

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.

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/

https://github.com/canonical/microk8s/issues/4462

In the last few years, we’ve witnessed the introduction of several new lightweight Kubernetes distributions. SUSE’s Rancher Labs k3s project was one of the earliest. Canonical now includes Microk8s in Ubuntu. And k0s is a single-binary Kubernetes distribution.

When there are no DevOps engineers in the team, but you really want to embed the application in Kubernetes, you can easily do this using https://microk8s.io in this post, I will describe how to do this and open access to the application on a specific port.

I'm not surprised, seeing how this disease has even infected OSS/Linux.

https://github.com/canonical/microk8s/issues/1022

A k8s variety. By Canonical. Screams production, no one is using this for their gaming PC. Snap auto-updates enabled.

Whilst the production namespace ran on the production VPS server running a MicroK8 single node cluster, the other 2 namespaces ran on my laptop using the K8 engine which comes with docker desktop.

If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.

And install microk8s:

MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.

One quick and easy win I can recommend, is microk8s.