The AI-native core: Highly resilient telco architecture using Google Kubernetes Engine

The telecommunications industry has reached a critical tipping point. Traditional, on-premises-heavy data center models are struggling under the weight of escalating infrastructure costs and an under utilization due to availability and compliance requirements. But the AI era demands exponential scale and beyond-nines reliability. The question for operators is no longer if they should modernize, but which architectural path will help them do that fastest. Modernization isn't a "rip and replace" event; it’s a strategic choice. Today, we’re showcasing how Google Kubernetes Engine (GKE) can serve as a high-performance foundation for two versatile deployment strategies: cloud-centric evolution and strategic hybrid modernization . The two paths to network modernization E very operator has a unique appetite for risk, regulatory landscape, and investment base, with some prioritizing agility, and others emphasizing the need for local control. You can use GKE to support both approaches: 1. Cloud