Kubernetes adoption is accelerating through AI, edge, and platform engineering, but many core infrastructure tools are shifting from community-first to enterprise-first models. This article explores why paywalls and gated tiers break the adoption flywheel, using real examples from MinIO, HashiCorp, Redis, Portworx, and Kubernetes itself. It shows how open learning paths drive enterprise success, why VMware’s model worked, and how community-forward projects can capture the nex

Artificial intelligence workloads are becoming some of the most valuable assets an organization runs. Models capture years of research and tuning. Datasets encode customer behavior, health information, or financial risk profiles. At the same time, more of that compute is running on infrastructure you do not fully control, whether that is a public cloud, a partner data center, or a cluster of GPUs at the edge sitting in a closet in a retail store.

Learn how to read Kubernetes Pod statuses like Running, Pending, CrashLoopBackOff, and ImagePullBackOff. This guide explains the READY column, shows why Running does not always mean Ready, and provides clear kubectl examples to troubleshoot Pods. Discover how to interpret Pod lifecycles, fix common errors, and keep your Kubernetes workloads healthy with confidence.