Mavenir and Deutsche Telekom Deploy Cloud-Native Core for Global Connected Cars and Telco Clouds

On September 14, 2026, Mavenir announced recognition for its cloud-native core deployments with Deutsche Telekom, highlighting two major network production milestones. The first is a Remote Packet Core designed for connected vehicle IoT services supporting over one million connected cars globally, which maintains a centralized control plane in Europe while orchestrating localized user plane traffic breakouts directly in North America. The second is an enterprise Horizontal Telco Cloud deployment that replaced legacy infrastructure silos with a standardized, GitOps-driven Kubernetes platform operating across more than ten data centers in Germany. For DevOps, telecom, and cloud infrastructure engineers, this architecture directly resolves the classic tension between centralized governance and edge latency. Traditionally, global IoT deployments faced prohibitive transit costs and performance penalties by backhauling all telemetry and telemetry-adjacent traffic back to home-region data centers, or they had to replicate full-stack core appliances regionally at immense management and compliance overhead. By disaggregating the 4G/5G packet core, operators can maintain compliance with regional data residency rules while keeping transit latency low enough for real-time telematics. This deployment reflects a broader industry shift toward treating carrier-grade telecommunications networks like modern cloud-native distributed systems. Rather than relying on specialized routing silicon and monolithic proprietary appliances, production telco backbones are adopting declarative configurations, CI/CD automation, and software-defined network slicing atop standardized cloud clusters. Crucially, the horizontal cloud model enables automated scaling based on load, which Mavenir demonstrated by implementing energy-aware automation that achieves up to 65% off-peak energy savings without requiring hardware overhauls. In practice, infrastructure teams should view these patterns as a template for large-scale multi-region edge deployments. Disaggregating control plane orchestration from edge data plane processing allows practitioners to enforce centralized policy, identity, and security posture while provisioning ephemeral, distributed breakout gateways near users. DevOps teams managing edge clusters should prioritize declarative GitOps workflows to manage routing tables, packet core container lifecycles, and automated failover mechanics seamlessly.