Open Networking & SONiC Solutions for Telco | Aviz Networks
AI & 5G Edge Telco Networks: Open, Secure, Future-Ready
Modernize telco networks with AI-ready SONiC, deep observability, and 5G edge scalability. Cut TCO, boost SLA visibility, and future-proof your infrastructure.
Telco Networks for the AI & 5G Edge Era
Telecom operators are at a pivotal moment.
The AI boom is driving demand for edge AI clusters, ultra-low latency, and massive bandwidth, alongside existing 5G, 4G, and fiber networks that must deliver flawless quality of experience (QoE) to millions of users.
At the same time, telcos are running their own clouds, modernizing data center architectures, and rethinking legacy MPLS/SRv6 designs in favor of simpler, open, and vendor-neutral networking.
And with AI on the roadmap for every network operations center, the challenge is how to integrate it across siloed OSS tools, close skill gaps, and keep all subscriber data secure.
Aviz helps telcos standardize networks, unlock deep visibility, and deploy private AI assistants that work across infrastructure, protocols, and applications, without vendor lock-in or budget spikes.
Do These Questions Look Familiar?
- How do I build future-proof, AI-ready networks for edge clusters without getting locked into a single vendor?
- How can I gain subscriber-level visibility and SLA monitoring across 5G, 4G, and FTTH from a single observability fabric?
- How do I cut the cost and power footprint of my packet monitoring and DPI stack without losing capabilities?
- How can I unify data from multiple OSS tools and domains so AI can work across the entire network?
- How do I modernize MPLS/SRv6-based telco clouds into simpler, open SONiC-based designs with equal or better performance?
- How do I close skill gaps while introducing AI securely into my NOC operations?
From Legacy Stacks to AI-Ready Telco Infrastructure
Telco Challenge
| Telco Challenge | How Aviz Solves It |
|---|---|
| Need for AI-Ready Edge Networks | SONiC-Based Open Networking |
| Subscriber-Level QoE & SLA Monitoring | Deep Telco Observability |
| High Cost & Power Use from Legacy DPI | Software-First Observability |
| OSS Tool Silos Blocking AI Ops | Network Copilot™ with Multi-Source Data Connectors |
| Complex, Vendor-Locked Telco Clouds | Open SONiC Data Center Networking |
Deep Network Observability Improves 5G Mobile Subscriber User Experience
GUIDE
- 80% reduction in Deep Packet Inspection (DPI) hardware footprint and power usage
- Real-time monitoring of QoE and SLAs
- Cost optimization at every stage
- Seamless integration & interoperability
Deep Network Observability in Telco
Objective: Improve mobile user visibility and service assurance as a Tier 2 service provider.
Strategic Issue: Due to the rise of rich applications and high competition, our customers needed a high-visibility tool to prevent subscriber loss.
Problem: Vendor visibility was by individual vendor sensors or applications, the service provider was unable to track network-wide issues or application performance. The lack of unified network and application observability made it difficult to assure 5G services and optimize costs.
Solution: The service provider deployed the Aviz Deep Network Observability solution, which combined Aviz’s open observability platform and DPOK-based telemetry tools. This enabled granular 4G/5G network and application tracking across the Tier 2 mobile network, reduced costs by over 40%, and improved service assurance.
Hardware Partners
Why They Chose Aviz
- Open and Vendor-Agnostic Architecture: Enables onboarding of both standard and vendor-specific solutions on disaggregated servers, removing dependency on proprietary platforms.
- Seamless Multi-Network Integration: Out-of-the-box support for 4G, 5G, NBASE, Cisco, Arista, and CXL/VLAN environments, ensuring compatibility across our customers’ solutions.
- Real-Time, Scalable Observability: Provided high-performance packet processing, GTP monitoring, and scalable data collection with AI-driven insights for proactive troubleshooting.
- Cost Optimization and Lifecycle Efficiencies: Reduced operational and lifecycle costs by over 40% while delivering a unified, future-proof, efficient observability platform.
Key Results
A Tier 2 service provider created a DPI system at the lowest cost compared to proprietary platforms. Enabling real-time observability across its core system and high-scale user visibility, the provider saw 40%+ cost savings in multi-vendor 4G/5G core systems. The solution offered open, unified, future-proof, vendor-agnostic observability platform.
Deep Network Observability for Telco
Objective: Improve 5G mobile user experience and service assurance, while dramatically reducing unsustainable costs for a national telecom provider.
Strategic Issue: Overcome fragmented, siloed systems and prevent frequent upgrades by adopting a unified, scalable, and future-proof observability platform.
Problem: Telco systems were complex, costly, and couldn’t support the high data rates, scale, and automation required for next-generation 5G and multi-vendor environments. The national telecom provider had no unified visibility for NOC/AI/analytics and service teams.
Solution: The customer deployed the Aviz Deep Network Observability solution, which delivers real-time, full-fidelity packet and flow visibility across all network domains. The solution included: open and vendor-agnostic architecture, seamless multi-vendor integration, real-time scalable observability, and cost optimization with lifecycle extension. Aviz’s platform enabled unified visibility for NOC, AI/analytics, and service teams, supporting 5G, O-RAN, core, and cloud.
Hardware Partners
Why They Chose Aviz
- Open and Vendor-Agnostic Architecture: Enabled seamless onboarding of new network devices and domains, with no vendor lock-in. Supported all major hardware and software environments.
- Seamless Multi-Vendor Integration: Deployed across multiple network domains (5G, O-RAN, core, cloud) with support for 5G, NG-RAN, C-RAN, and legacy systems. Aviz’s platform unified observability across all environments.
- Real-Time, Scalable Observability: Provided high-performance, full-fidelity packet and flow visibility, supporting proactive operations, GTM acceleration, and AI-driven analytics.
- Cost Optimization and Lifecycle Extension: Reduced operational and upgrade costs by consolidating tools and extending the life of existing hardware. Lower power, efficient observability platform.
Key Results
A telecommunications provider achieved an 80% reduction in DPI hardware footprint and power consumption while enabling higher reliability in 4G, 5G, and data center operations. The solution simplified operations, cut costs, and delivered unified, AI-powered observability platform.