Operations | Monitoring | ITSM | DevOps | Cloud

The rise of large-language models (LLMs) that can understand and create text, and reason about problems has opened the door for software agents that use the reasoning power of LLMs to interact with the wider world and solve problems. At Kubex, our bread and butter is compute and GPU resource optimization, so it’s natural for us to ask how agents could help our customers more effectively optimize their resources.

Kubernetes workload rightsizing is one of those tasks everyone agrees is important and almost nobody enjoys doing by hand. Set requests too high and you pay for capacity that sits idle; set them too low and you invite CPU throttling, out-of-memory kills, and late-night pages. It’s no surprise, then, that many teams reach for the Vertical Pod Autoscaler (VPA) as their first step toward automated rightsizing.