I deployed my first Kubernetes cluster today, just wanted to share a win! 💪

110% correct graph

Me: I wonder why is everyone so afraid of k8s...

The tech world:

why the fuck those images wouldn't load? they come corrupt from K8S, but they are fine if I run the container locally, like... wtf? is Ingress NGINX doing something to them or did I configure something wrong?!

Oh my.. I think I'm enjoying molesting kubernetes :)

A while ago I got pissed at k8s because with 1.24 they brought backward-incompatible changes, ruling my cluster broken. Then I thought to myself: "why not create a Docker image that would run kubernetes inside? Separate images for control plane, agent and client"

Took me a while, but I think tonight I've had a breakthrough (I love how linux works...)!! The control-plane is spinning up!! Running on containerd

Still needs some work and polishing, but hey! Ephemeral k8s installation with a single docker-run command sure sounds tempting!

P.S. Yes, I know there is `kind` and 'kinder', but I'm reluctant to install a separate tool that installs a set of tools for me. Kind of... too shady. Too many moving parts. Too deeply hidden parts I may have to fix. Having a dumb-simple Dockerfile gives me the openness, flexibility and simplicity I want. + I can always use it as a base image to add my customizations later on! Reinstalling a cluster would be a breeeeeeze

Continuing to learn k8s ecosystem and to achieve acceptable level
With trying eventually Helm, Argo CD and even trying to use not managed setup for k8s.

Going though books to find out theory about being SRE.
And about data intensive apps.

Learning and trying Kafka

Learning and trying FastAPI and diving in generally to async python ecosystem

Learning Go.

Learning few more books to increase code quality and its compositioning.

Getting more practice in monitoring and logging systems with applicating them to k8s.

last week I finished a course on k8s "simply, for developers". Today I decided to fiddle with kubectl to move a project I'm working on to k8s and it was a complete success (thing runs on minikube and pulls containers from a private Gitlab registry).

I'm happy with the results, there is still room for learning k8s and devops in general.

Multi cloud, multi account, VPCs with k8s clusters all tied together with rancher and vault. Deployed in Terraform.

What a monster that was to create!

Unpopular opinion: OpenShift is just plain vanilla K8S with a thin marketing layer.

Get to know the new company better (Changed job shortly before Christmas).
Learn some DPs, DDD, k8s, finish introduction to hacking course, start doing htb and thm machines, finish and defend my thesis, finish books clean code, thinking in java (reading it to fill in gaps on knowledge), a few books about pentesting.
Among non tech goals: pass drivers license exam for cars, another one for motorcycles, go back to learning russian.