Kubernetes networking is evolving rapidly in 2026, driven by organizations migrating away from VMware and adopting AI workloads. Key trends include running VMs on Kubernetes through KubeVirt (though with a steep learning curve), the emergence of "Kubernetworkers" who blend traditional networking with cloud-native skills, and networking adaptations for GPU-heavy AI workloads requiring topology awareness and high throughput. Microsegmentation is becoming urgent again, with eBPF and Cilium enabling identity-aware enforcement. The convergence of traditional and cloud-native networking is reshaping how teams approach connectivity, security, and observability in Kubernetes environments.
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