Transforming Telecom Infrastructure from Brownfield to Cloud-Native Greenfield
Cloud-native eBPF-powered telecom infrastructure
e-DN is a comprehensive framework for cloud-native telecommunications infrastructure, leveraging eBPF (extended Berkeley Packet Filter) technology to transform legacy brownfield deployments into modern greenfield networks. By enabling in-kernel programmability, e-DN delivers high-performance packet processing, advanced observability, and dynamic network control without requiring hardware replacement or service disruption.
eBPF programs run directly in the Linux kernel for maximum performance and security
Built for Kubernetes environments with containerized deployment and orchestration
XDP enables line-rate packet processing with sub-microsecond latency
Real-time network telemetry and tracing for comprehensive visibility
Phased transition from legacy infrastructure without service interruption
Proven in enterprise deployments with comprehensive testing and validation
Demonstrating eBPF capabilities across telecom infrastructure
eBPF-accelerated packet processing for Magma Access Gateway, replacing OVS with high-performance in-kernel data plane for mobile core networks.
eBPF-based intelligent packet routing and load balancing for distributed telecom applications, enabling dynamic traffic steering and network optimization.
Next-generation User Plane Function with eBPF acceleration for 5G/6G core networks, delivering ultra-low latency packet processing for standalone deployments.
High-performance in-kernel packet processing with eBPF
eBPF programs run on NIC hardware for ultimate performance. Requires compatible network cards.
Early kernel hooks in network driver for maximum software performance.
Standard kernel network stack integration. Compatible with all NICs.
Earliest possible packet intercept point
eBPF program analyzes and routes packets
Apply QoS, filtering, and transformations
Pass, drop, transmit, or redirect packets
Modernize from brownfield to greenfield with eBPF-powered networking