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Aviz Networks improves network observability for 5G

Source Decision Insights Coverage Published August 7, 2025 Companies 2
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2 companies named across 8 categories, one of 44 articles referencing Aviz Networks. Previous coverage: Techevolution upgrades network with Aviz and SONiC (Aug 2025).

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Telecom operators implementing 5G technology encounter challenges such as fragmented monitoring tools, large data volumes, and cost management. Aviz Networks offers a Deep Network Observability solution that aims to provide real-time insights, promote integration, and support cost-effective scaling in mobile networks.

Solution Features

The solution integrates optimized data ingestion and robust packet processing within an open architecture. This configuration enables operators to detect network degradation in less than five seconds while accurately correlating Quality-of-Experience (QoE) and Service Level Agreement (SLA) metrics.

Operational Benefits

  • 80% reduction in the hardware footprint and power consumption for Deep Packet Inspection (DPI).
  • Real-time monitoring capabilities for QoE and SLA compliance.
  • Lower overall expenditure throughout the lifecycle, facilitated by adaptable hardware options and fewer upgrade cycles.
  • Compatibility with current 4G, Long Term Evolution (LTE), and both Non-Standalone (NSA) and Standalone (SA) 5G infrastructures, including Cisco ACI and analytic channels through Kafka.

Utilizing standard x86 servers with Data Plane Development Kit (DPDK) acceleration, the Aviz Service Node (ASN) and Open Packet Broker streamline traffic management and allow for real-time data processing, which aids in quicker decision-making.

“Collaborating with Aviz, we successfully implemented a scalable, high-performance network observability solution that seamlessly integrates with existing infrastructure,” said Keisuke Miura, Deputy General Manager at Itochu Techno-Solutions Corporation.

This summary reflects key insights from the blog post outlining Aviz's capabilities in enhancing 5G observability.

Blog post, originally published by Andrew Mujikov at Aviz Networks.

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