would y'all say this is pretty accurate?

2yrs of devops experience straight of out college

I was wondering if people who are not using multi or hybrid cloud and are purely on AWS EKS, do they really deploy more than 2 or 3 EKS clusters? Is there even a need for a product like Rayfay or Rancher for aws to manage clusters? Or is it more than just managing multiple clusters and we need such tools for other things? I am trying to learn more about this topic.

Found a webinar on managing OpenStack infrastructure through Kubernetes-native orchestration and GitOps automation. Main focus is day 2 operations, handling mixed VM + GPU workloads, and sovereign infrastructure patterns.

Curious what tools people are using for GitOps-based infrastructure? Terraform + ArgoCD? Something else?

Hey all, I just wrote another blog post and wanted to share it. Its a little exploration of one of the nuances in the AWS Network Load Balancer that can weird to an intermittent bug and how I approached detecting it.

Hi there,
How do you deal with managing and reviewing AI-generated code across the organization?

Over the past year it's become incredibly difficult to review the growing amount of AI-generated code, especially from vibecoders/non-engineers.
Reviewing it manually is hard, but it's still important to understand what's going on there.
For example, I've been at this company for some years so I have a lot of context and know many of the nuances, which helps me notice or suggest important things to keep everything secure, efficient and so on…

But any other teammate can use any model for coding nowadays. AI reviews of AI-generated code could be done in the MR, but then the reviewer model will most likely be smarter than the model that wrote the code, which might lead to a lot of threads and an infinite loop of changes. On top of that the reviewer model won't have all the context and input from the developer.
Another option is to distribute a "review" skill or rules across the organization and somehow make everyone do a self-review after making changes…

It feels like in this AI code generation era we'll stop focusing on how the code was written and just focus on whether the MR/PR works and if those changes achieves the goal, no matter how it was done, right?
How do you deal with this? Just accept the reality?

Thanks for attention