Kubernetes for Telecommunications

Why Telecoms Choose KubernetesGuru.com for Carrier-Grade K8s

Telecommunications is among the most demanding environments for Kubernetes. Tier-1 carriers and MVNOs running 5G core network functions on K8s require scheduling guarantees, node affinity controls, and CPU pinning configurations that go far beyond what standard EKS or GKE defaults provide. When a user plane function (UPF) pod is evicted unexpectedly or a network slice controller restarts with elevated latency, the impact is measured in thousands of dropped sessions - not just a degraded web page. Our K8s engineers understand the ETSI NFV-MANO architecture and translate 3GPP workload requirements into concrete K8s configuration: CPU manager policies, topology managers, hugepages allocation, and SR-IOV device plugin configuration.

Edge K8s at carrier scale - managing hundreds of distributed Kubernetes nodes across data centers, central offices, and cell sites - requires a fundamentally different operational model from a single-cluster cloud deployment. We help telecom infrastructure teams implement GitOps-driven fleet management with ArgoCD and Flux, deploy lightweight K8s distributions (K3s, MicroK8s) for resource-constrained edge nodes, and build observability stacks that surface cluster health across geographically distributed control planes without creating untenable data egress costs.

Network function virtualization (NFV) migration from legacy VMs to containers is a multi-year program for most carriers. We provide a structured migration methodology that assesses each network function’s containerization readiness, designs the K8s operator patterns needed for stateful NF lifecycle management, and validates performance benchmarks before cutover. The result: cloud-native 5G infrastructure that meets 3GPP specifications while giving operations teams the visibility and GitOps workflows that modern platform engineering demands.

→ Talk to our K8s experts at kubernetes.ae