What Comes After Kubernetes? Building the Telco Cloud for the AI Era
The Kubernetes-based container platform telcos built for cloud-native network functions is now facing new demands — AI inferencing, AI-RAN, data-heavy OSS/BSS and edge services that run in a thousand places, from core to edge. Operators today are making architectural choices they’ll live with for a decade or more.
Kubernetes orchestrates workloads — but it’s not enough. It doesn’t deliver the persistent storage, high availability, recovery and portability that carrier-grade operations require.
In this live session, Fierce Network TV Editorial Director Mitch Wagner is joined by [panelists] to work through what operators are building beyond the container platform and why the data layer is a strategic choice rather than a procurement line item. The discussion draws on new Fierce Network research and interviews with technology leaders at leading operators and their vendors.
What you’ll take away:
- How to absorb CNF, OSS/BSS and AI workloads on one platform without compounding complexity, risk and cost
- Extending containerized architecture beyond Kubernetes
- Why autonomous networks depend on a strong data foundation
- The secrets of extending workloads to the edge
- The importance of operational sovereignty — what regulators and enterprise customers now expect, well past the question of where data and infrastructure physically sit