Aviz outlines open SONiC and subscriber observability for AI-ready telco NOC

Aviz says telecom operators can modernize 4G/5G/FTTH networks for AI-ready operations by moving toward open SONiC-based networking, adding unified subscriber observability, and reducing DPI hardware and power needs. The approach is positioned for NOC and service assurance teams that need real-time QoE and SLA visibility without single-vendor dependence.

Research Overview

The blog frames telco modernization around 5G deployments, edge AI workloads, cloud-native infrastructure, and the need for real-time subscriber and service visibility. It also links complexity to legacy MPLS, operational silos, and proprietary monitoring stacks.

Aviz describes its role as helping operators modernize infrastructure, improve observability, reduce total cost of ownership, and prepare NOC operations for AI and 5G edge environments.

Key Findings

Aviz states that open, SONiC-based networking can support multi-vendor hardware and scalable infrastructure for edge AI and 5G use cases. It says vendor-locked designs can limit how quickly networks adapt to changing AI and 5G requirements.

For visibility, the blog argues that subscriber-level insight across 4G, 5G, and FTTH is difficult when tools, sensors, and network layers are fragmented. It claims Aviz Deep Network Observability correlates traffic, application, control-plane, and user-plane data to support QoE and SLA monitoring.

Technical Breakdown

On networking, the blog points to SONiC-based open networking as the mechanism to deploy across edge, core, and data center environments while avoiding dependency on a single OEM. It presents this as a way to provide flexibility for telcos running AI-driven services.

On observability, the blog describes Aviz Deep Network Observability as combining Aviz Packet Broker and Aviz Service Nodes. It says the combined solution delivers granular visibility into 4G, 5G, FTTH, and GTP traffic, along with subscriber identifiers including IMEI and IMSI.

Operational Impact

For DPI and packet monitoring, Aviz says legacy DPI and packet monitoring systems increase hardware costs, power consumption, and operational complexity. It claims Aviz helps reduce DPI hardware footprint and power usage by up to 80% and lowers TCO by 50% or more.

The blog also states that Network Copilot™ unifies OSS, BSS, and infrastructure telemetry into a single layer. It describes NOC workflows that use natural-language workflow creation, troubleshooting across telemetry, and private AI running on-prem, while keeping data on-prem.

Leadership Perspective

The blog positions the operating goal as enabling networks to be open, observable, secure, and ready for AI-powered operations as 5G and edge AI workloads expand. It attributes slower and higher-cost modernization to vendor-locked legacy systems.

For governance, it explains that telcos handle subscriber data and business-sensitive OSS and BSS information and cites regulatory risk and data sovereignty concerns with external cloud AI platforms. It states that on-prem AI through Network Copilot keeps data inside the operator environment.

Overall, the blog ties telco modernization to open SONiC-based networking, unified subscriber-level observability across 4G/5G/FTTH, and a software-first approach to DPI to reduce hardware and power needs while supporting on-prem AI workflows for NOC operations. Blog Signals brief is a fact-based summary of the vendor blog.