Visual Studio Code Kubernetes Tools
Observability in Kubernetes: From metrics to meaning
Kubernetes made infrastructure more programmable, scalable, and resilient. It also made production systems harder to reason about. Workloads move, replicas churn, dependencies multiply, and a single user request can cross ingress, services, queues, storage, and background…
Scale before the spike: Predictive autoscaling for GPU workloads on Kubernetes
The 3 AM Call We got paged one Tuesday morning. A critical production service had crashed under traffic—not gradually degraded, but crashed. Hundreds of pending pods. Users were seeing 15–20% error rates. The incident postmortem was…
Your Kubernetes platform is ready for containers. Is it ready for AI?
Kubernetes has given platform teams a consistent way to deploy, scale, and operate containerized applications. Now, many of those same teams are being asked to support AI. The transition is already underway. According to the CNCF…
Building an AI factory on Kubernetes
An AI factory is not just a model or a cluster. It is a pool of GPUs that many teams draw from at once: one team fine-tuning, another serving inference, a third running evaluations, all on…
Stop trying to learn all of Kubernetes at once
As a recovering VMware architect, it took me a little while to grasp Kubernetes. And I noticed I’m not alone in this.. From developers on our own team who need to get fluent in Kubernetes fast…