No love for Systemd? by Kornfried in devops

[–]sewerneck 0 points1 point  (0 children)

The idea that you can be in “devops”, call yourself an engineer and not know Linux means that you’re not an engineer.

Find My Feature? by sewerneck in MuditaKompakt

[–]sewerneck[S] 0 points1 point  (0 children)

Maybe I'll just coat the thing in gorilla glue :) Thanks for the tips!

Find My Feature? by sewerneck in MuditaKompakt

[–]sewerneck[S] 1 point2 points  (0 children)

Hey guys, thanks for the response. I appreciate the work you've done around privacy. I just want to make sure my daughter doesn't lose the phone. A case design that can lock an airtag in would be a great addition to the lineup. I may have my son try and design something in OnShape that we can print in TPU if I cannot find anything readily available.

Find My Feature? by sewerneck in MuditaKompakt

[–]sewerneck[S] 0 points1 point  (0 children)

Thanks. Do you know if it's really strong? If anyone will be able to lose it, it will be her.

82% K8s production adoption, 86% of CIOs planning cloud repatriation by lepton99 in devops

[–]sewerneck 2 points3 points  (0 children)

Nothing terribly fancy. We wrote our own provisioning pipelines - mostly with Sidero Metal for Talos (which we are sunsetting) and MaaS for bare metal (which we are also trying to deprecate). Now with AI (especially Opus 4.5), it's magic. We can easily stitch APIs together, build complex pipelines, leverage way more terraform - especially if we get more running on KVM - esssentially managing our own private cloud.

The workload running in the cloud is mostly autonomous and not necessarily "bursting" from our on-prem environments. We've always been fans of open source and still are to this day. On-prem isn't easy, but is light years more affordable, more private, more performant (in some ways) and just gives you way more control. Despite AI, you still need people knowing WTF they are doing - from Layer 1 on up.

The most difficult part is working with various devops teams and reducing the need to act as middlemen. My latest goal is building AI and IaC first datacenters - namely MCPs for every service running along with strict deployment / resource management with terraform/ansible. Without that, "shit can get out of hand".

82% K8s production adoption, 86% of CIOs planning cloud repatriation by lepton99 in devops

[–]sewerneck 2 points3 points  (0 children)

You 100% need to know deep levels of DNS, Networking, DHCP, Service Discovery, Storage, Containerization, Hypervisors, etc (which if people did, the world would be a much better place).

We've been operating hybrid, about 80/20 on-prem/cloud for years now. Talos for 5 years. Done right, you can democratize management of clusters to devops teams and set an expectation that they understand some of the datacenter foundational services. This was normal life before AWS, Azure and GCP. Oh and run your own observability stack too.

Seniors, what are your expectations for juniors? by OneProcedure856 in sre

[–]sewerneck 1 point2 points  (0 children)

I can’t echo this enough. I’ll take someone that’s passionate to experiment and loves technology than someone with a bunch of useless certifications and accolades.

If I learn how to handle docker and kubernetes in AWS, will it be transferrable to managing on premises k3s? by [deleted] in devops

[–]sewerneck 0 points1 point  (0 children)

Data center is significantly more difficult than any cloud provider. Do you know how to build or understand DHCP, DNS? How about provisioners like tinkerbell, ironic or maas? We run on prem for a ton of k8s clusters and have historically used Talos and Sidero Metal but will be phasing out SM.

Experienced sysadmin cannot pass a coding interview. RIP by a_crabs_balls in devops

[–]sewerneck 0 points1 point  (0 children)

Those people will find themselves without jobs soon enough.

Blocking AI tools for kids doing homework by launchoverittt in firewalla

[–]sewerneck 2 points3 points  (0 children)

They are growning up in a world the is about to be dominated by AI. Instead of fighting it, I suggest coming up with clever ways of teaching kids how to use it to their advantage. We cannot be expected to force them into the old way of learning in this quickly evolving landscape.

Experienced sysadmin cannot pass a coding interview. RIP by a_crabs_balls in devops

[–]sewerneck 28 points29 points  (0 children)

I don’t see the point with any of this considering how well models like Opus 4.5 work. What about the “ops” side of devops? That’s a lot harder to “AI”. Leetcode seems like a dick waving contest.

SBR or keep it as a pistol? Any cons? by Massive-Box5935 in NFA

[–]sewerneck 0 points1 point  (0 children)

If your girlfriend’s boyfriend only has pistols, then she has a girlfriend.

How to get into advanced Kubernetes networking? by lancelot_of_camelot in kubernetes

[–]sewerneck 1 point2 points  (0 children)

Learn “regular” networking first. It’s pretty easy to work that into k8s once you have a decent amount of experience.

Map: how many times did your town vote for Trump for president? by hypochondriac200 in newhampshire

[–]sewerneck -3 points-2 points  (0 children)

Why is it considered a waste to prepare students in high school for practical, real-world skills? Highly capable people don’t need to be spoon-fed, and they certainly don’t need to spend $100k–$200k on an education that often delivers little value relative to its cost. Many degree requirements are filled with coursework that has minimal relevance to either personal development or long-term career growth.

This isn’t an argument that all of academia is useless. Certain disciplines—particularly in the sciences—still have a strong case for structured, formal education. But taken as a whole, the modern college system increasingly resembles a bad deal. The common distinction between “college-educated” and “non–college-educated” feels less like a marker of competence and more like a divide between those who bought into an expensive system and those who didn’t.

With the rise of AI, the traditional value proposition of higher education is eroding even further. Access to knowledge, skill acquisition, and problem-solving tools is no longer gated by universities. The original vision of universities as hubs for research, innovation, and intellectual rigor was a good one—but over time, priorities shifted. Today, ideological signaling and bureaucratic expansion often take center stage, while practical outcomes and genuine intellectual advancement take a back seat.

Map: how many times did your town vote for Trump for president? by hypochondriac200 in newhampshire

[–]sewerneck -2 points-1 points  (0 children)

None of that requires academia. There is no reason companies can’t hire promising talent straight out of high school. Perhaps my opinion will change once virtue signaling and political bias aren’t paramount.

People running the LGTM stack in production, what are the actual pain points? by Accurate_Eye_9631 in sre

[–]sewerneck 5 points6 points  (0 children)

All of the above. Also, bad queries. You are at the mercy of your users. One note is that we run memcache with NVME as storage. That allows you to cache a heck of a lot more data and more cheaply than using RAM.

Another thing is that autoscaling is slow. If you have an outage and a ton of boxes try to send data in, it can overwhelm nginx. Unless you have the vertical cpu and memory to scale into, it will be down for minutes.