Principal Engineer

Later this year, F5 will add groundbreaking data protection and governance capabilities to the F5 Application Delivery and Security Platform.

Telenor AI Factory has chosen F5's BIG-IP Next for Kubernetes as the service layer for its NVIDIA-powered sovereign AI infrastructure, F5 (NASDAQ: FFIV) announced on October 21, 2026. The platform helps Norwegian and European organisations use AI services while keeping control over where their data is processed, stored, and accessed. Running on NVIDIA BlueField DPUs, it applies policy, tenant isolation, telemetry, and traffic control directly in the AI service path. Telenor plans to add token-aware governance and more advanced inference traffic optimisation as its commercial services grow. "F5 gives us a policy and traffic-control layer we can build on as we scale services for customers," said Kaaren Hilsen, chief executive officer of Telenor AI Factory.

F5 helps service providers modernize critical network services. On: October 12, 2026 F5 today announced enhanced cloud-native network functions and new observability capabilities that help service providers modernize critical network services as they move from virtualized infrastructure to Kubernetes and cloud-native architectures. Service providers are under pressure to support growing 5G, edge, IT, and emerging AI workloads, boost efficiency, and maintain the performance, security, and operational control required for carrier-grade services. Moving network functions to Kubernetes lets operators use infrastructure more flexibly but also introduces additional requirements for traffic management, security, lifecycle operations, and visibility across increasingly distributed environments. F5 now accelerates this transition. "Service providers should not have to choose between cloud-native agility and the performance, security, and control required for critical network infrastructure," said Kunal Anand, Chief Product Officer at F5. "BIG-IP Cloud-Native Edition brings proven F5 BIG-IP capabilities into Kubernetes, giving network and cloud operations teams a more consistent way to deploy, secure, observe, and operate 5G, edge, and AI infrastructure at scale." Independent testing by The Tolly Group of selected BIG-IP Cloud-Native Network Functions within BIG-IP Cloud-Native Edition demonstrated substantial infrastructure-efficiency gains in Kubernetes-based DNS and CGNAT workloads compared with virtualized network function deployments. In a DNS scenario, F5 processed 1.9x more queries per second while using 91.5% less CPU. In a CGNAT scenario, F5 delivered comparable throughput while using 79.7% less CPU and 98.5% less memory. A broader cloud-native solution for service providers F5 BIG-IP Cloud-Native Edition extends capabilities from the F5 Application Delivery and Security Platform within Kubernetes-based service provider environments, bringing together complementary capabilities across cloud-native networking, application delivery, security, and observability. BIG-IP Cloud-Native Network Functions extend core BIG-IP network and security services into Kubernetes-native environments, including DNS, CGNAT, network security, subscriber policy enforcement, and traffic management. BIG-IP Next for Kubernetes operates at the Kubernetes network layer, providing networking, application delivery, security, and manageability. BIG-IP eBPF Observability provides kernel-level application and network visibility for troubleshooting distributed environments. Modernizing critical network services for Kubernetes Enhanced F5 BIG-IP Cloud-Native Network Functions provide Kubernetes-native traffic management and security capabilities designed for service provider environments. * Expanded traffic management: Broad Layer 4-7 support, including ingress and egress networking and support for TCP, UDP, HTTP/2, Diameter, SCTP, GTP, and SIP, helps operators move a wider range of network services into Kubernetes rather than limiting modernization to HTTP-based applications. * Subscriber-aware policy enforcement: Operators can dynamically apply quality-of-service (QoS), traffic-shaping, and content-filtering policies based on subscriber and service requirements, supporting differentiated services while maintaining consistent policy enforcement. * Cloud-native lifecycle management: Kubernetes-native deployment and management workflows let teams automate common configuration and lifecycle tasks as network functions move from VM-based to containerized infrastructure. By moving these services into Kubernetes-native deployments, operators can make more flexible use of compute and memory resources, more efficiently using infrastructure as network traffic and service demands grow. Deeper visibility across distributed Kubernetes environments Network, security, application, and platform teams often rely on different tools when troubleshooting the same problem. New F5 BIG-IP eBPF Observability provides a consistent source of application and network telemetry across distributed Kubernetes clusters, enabling teams to examine app behavior, container activity, and network flows together when investigating performance or connectivity issues. * Real-time, low-overhead telemetry: Operations teams gain granular network and app insights across Kubernetes environments without requiring application-by-application instrumentation. * Scalable visibility: Kubernetes-native deployment models and a resource-efficient architecture support visibility across distributed environments, helping teams investigate issues without adding another heavy monitoring layer. * Shared operational context: BIG-IP eBPF Observability provides correlated application and network context to determine whether an issue originates in the application, container, or network to reduce investigation time. Independent validation of cloud-native network functions The Tolly Group tested BIG-IP Cloud-Native Network Functions against virtualized network function deployments in the same Kubernetes environment across two essential service provider workloads. * DNS: F5 processed 1.9x more queries per second with 91.5% less CPU demand and 48% lower average latency than the tested VNF configuration. * CGNAT: F5 delivered comparable throughput with 79.7% less CPU demand, 98.5% less memory consumption, and 82% lower p95 latency than the tested VNF configuration. These results demonstrate how Kubernetes-native network functions can help operators increase workload density and reduce infrastructure requirements for the workloads tested. Extending BIG-IP as service provider infrastructure evolves Service providers have relied on BIG-IP across physical and virtual infrastructure for critical networking and security services. As those environments increasingly incorporate Kubernetes, F5 is extending those capabilities into the architectures operators are adopting while providing a path to maintain familiar operational models and policies. BIG-IP Cloud-Native Edition gives service providers a broader cloud-native solution across traffic management, networking, security, and observability. It also creates opportunities for operators to adopt additional F5 capabilities as their infrastructure evolves across 5G core, edge, IT, and newer workload environments. BIG-IP Cloud-Native Network Functions, BIG-IP Next for Kubernetes, and BIG-IP eBPF Observability address different layers of that transition while helping customers maintain familiar networking, security, and operational models. Availability BIG-IP Cloud-Native Edition and the capabilities highlighted in this announcement are available now for service provider environments.