Weekly Intelligence Brief on Network Observability and AI Enhancements - Week of November 10, 2025
Key Takeaways
- Aviz Networks enhances network operations with Artificial Intelligence (AI) integration.
- Focus on deep observability to prevent issues before escalation.
- New partnerships support Graphics Processing Unit (GPU) cloud orchestration for AI applications.
- ONE 3.1 release introduces advanced features for network management.
- Improved packet deduplication enhances traffic efficiency.
Aviz Networks has recently updated its approach to enhancing network operations by integrating AI with open networking. CEO Vishal Shukla outlined the focus on building a comprehensive software stack that facilitates AI-driven workloads while maintaining efficient network management. This integration supports critical workloads and caters to the evolving needs of IT professionals.
To bolster its capabilities, Aviz highlights the necessity of deep observability within modern networks, showcasing its Open Packet Broker technology. A case study demonstrated how integration of the technology helped an organization identify the sources of outages more effectively by improving visibility into network operation.
Furthermore, Aviz's partnership with Rafay Systems aims to enhance GPU cloud orchestration by streamlining the operationalization of AI fabrics. This collaborative effort will deliver software solutions that improve resource management while maintaining security and efficiency across multi-tenant environments.
Aviz introduced ONES 3.1, enhancing the Open Networking Enterprise Suite with NVIDIA Spectrum-X compatibility and advanced observability tools. This update enables detailed asset tracking, environment monitoring, and improved network management capabilities.
The latest advancements also include techniques for packet deduplication, improving network monitoring by eliminating redundancies and optimizing bandwidth usage. These features are crucial for maintaining high performance and reliability as organizations navigate the complexities of modern digital infrastructures.
- Aviz Networks' Approach to AI in Networking
Aviz Networks emphasizes the integration of AI in network operations and management, as outlined by CEO Vishal Shukla. - Aviz Networks highlights the importance of network observability
Aviz Networks illustrates the value of deep observability, helping teams prevent issues before they escalate through effective monitoring. - Aviz Service Node Enhances Network Performance Insights
Autonomous System Number (ASN) computes precise KPIs, including latency and bandwidth, to support improved user experiences in telecommunications and data services. - Aviz Challenges Legacy Network Observability Approaches
Aviz offers a Network Observability Platform (NOP) (OP) designed for modern multivendor environments, utilizing commodity hardware and AI. - ONES 2.0 Rule Engine enhances SONiC monitoring and alert systems
Comprehensive monitoring metrics, customizable rules, and real-time alerts are features of ONES 2.0's Rule Engine for SONiC environments. - Aviz Networks integrates Open Networking Suite with NVIDIA Spectrum-X for AI networks
Aviz Networks tackles 5G challenges with real-time insights and cost-effective scaling through its Deep Network Observability solution. - Aviz Networks Explores Challenges in Observability
Aviz Networks' CEO emphasizes the need for more flexible observability stacks that maintain performance and insights for organizations. - Aviz Service Node enhances Internet Protocol (IP) traffic analysis for better observability
ASN improves observability in IP networks, assisting teams in optimizing application performance and capacity planning. - Optical Transceivers: Essential for Network Connectivity
Aviz ONES enhances optics observability, providing real-time telemetry for proactive network management. - ASN R2.0 Introduces Enhanced Network Observability
ASN R2.0 enhances network visibility with packet deduplication and advanced Deep Packet Inspection (DPI) for improved performance across enterprise deployments. - Network Observability DeDuplication for Data Centers
Efficient management of network traffic is vital. The blog discusses a deduplication approach to mitigate excessive overhead in data centers. - Aviz OPBNOS Enhances GTP Header Support for 5G Monitoring
Aviz OPBNOS enhances GTP extension header support for better 5G traffic management and Quality of Service (QoS) monitoring across mobile networks. - Prismatic debuts Model Context Protocol (MCP) flow server for AI integrations
Prismatic launched the Intelligent Transportation System MCP flow server to enhance AI integrations with structured workflows. - Chetan Chaudhary returns to Coralogix as Chief Revenue Officer
Chaudhary's leadership is expected to enhance Coralogix's growth as it surpasses $100M in annual revenue with its AI Observability Platform (OP). - Aviz introduces ONES 3.1 with NVIDIA Spectrum™-X support and new AI features
Aviz launches ONES 3.1 featuring NVIDIA Spectrum-X support and enhanced observability tools for network management. - Aviz releases OPBNOS R2.8 for improved network observability
Aviz's OPBNOS R2.8 supports Celestica DS2000, enhancing aggregation capabilities in network monitoring. - Network leaders consider multi-vendor strategies to enhance flexibility in modern environments.
Emphasizing visibility, the blog outlines how network leaders can initiate a multi-vendor strategy without jeopardizing core operations. - Aviz Service Nodes provide enhanced network observability in 5G
ASN supports up to 3 million subscribers with traffic processing up to 150 Gbps, validated under real-world conditions. - Corero Network Security reports growth driven by major client renewal and platform enhancements.
CEO Carl Herberger highlighted market momentum, emphasizing the need for flexible and scalable Distributed Denial of Service (DDoS) protection solutions. - Rafay Systems and Aviz Networks Partner for GPU Cloud Orchestration
Key features of the partnership include rapid deployment and improved resource management for multi-tenant AI fabrics.