How Does Aviz Service Node v2.4 Make Network Observability AI-Ready?

TL;DR
Through the use of Aviz Service Node v2.4, data packets are converted to intelligent data that contains metadata which is application aware and user aware.
Introduction
Nowadays, however, the network environment encompasses more than just the physical confines of the typical data center. Network traffic flows across telco cores, enterprise environments, edge locations, public clouds, and hybrid environments, presenting yet another visibility hurdle to be solved for NetOps, SecOps, and observability teams. This is precisely what Aviz Service Node version 2.4 can help solve through its capabilities as an intelligence layer for the packets flowing through the network that sits between your network traffic and the rest of your observability stack.
Why Is Aviz Service Node v2.4 Important for AI-Ready Network Observability?
The Aviz Service Node v2.4 converts the stream of packets into actionable metadata that can be used for analysis, monitoring, and cyber-security using artificial intelligence and machine learning. The ASN does not just provide routing capabilities but also allows analyses to be done at various layers including the application layer, protocol layer, session layer, and subscriber level. The metadata generated from these analyses can then be consumed by Kafka streams in JSON form.
How Does ASN Reduce Cost and Vendor Lock-In?
The software used by ASN is designed to work with general purpose x86 hardware rather than with specialized hardware that understands packets. This way, ASN avoids having to rely on proprietary devices, which makes it possible for ASN to be deployed using off-the-shelf servers manufactured by companies like Dell, Supermicro, Cisco UCS, HP, Lenovo, and NVIDIA.
What Makes Virtual ASN Useful for Cloud and Hybrid Environments?
Packet awareness in a cloud environment can be achieved by using vASN, without the use of any special hardware. In version 2.4, it is possible to install vASN as a service on a virtual machine and also as a container-based deployment model. It easily integrates with cloud-native traffic mirroring and vTAPs collected via agents, providing visibility into east-west and intra-host traffic. As such, it is an excellent choice for public clouds, edge deployments, and multi-cloud scenarios.
How Does ASN Improve Traffic Processing and Visibility?
In terms of enhancing observability, ASN brings together the benefits of DPI, deduplication, metadata creation, key performance indicator collection, and packet capture into an integrated solution. This is because ASN can discover and classify over 2000 applications, as well as removing L2 to L4 duplication packets, thus reducing the overhead processing time by up to 30% to 50%. In the case of 4G and 5G networks, ASN uses the GTP correlation feature to provide subscriber-level observability through combining control and user plane traffic.
Can ASN Scale for High-Performance Network Environments?
The scalability of the ASN technology is based on the increase in computation power and, therefore, is linearly proportional to the compute resources provided. The physical implementation of the ASN provides guaranteed determinism performance over telecom, data center, and enterprise networks. Benchmarking for deduplication shows an average rate of about 4 Gbps per core using IMIX traffic, while the scalability rate may go up to 400 Gbps using about 100 cores.
Conclusion
Aviz Service Node v2.4 presents an innovative and adaptable approach for today’s network administrators to leverage traffic into insights. It provides advanced capabilities such as packet inspection, de-duplication, metadata extraction, GTP correlation, and packet capture, and its software-based design reduces dependence on appliance-based solutions. ASN enables companies to gain better visibility in various environments like enterprises, telecommunications, cloud computing, and hybrid settings.
Frequently Asked Questions
What is Aviz Service Node v2.4?
Aviz Service Node v2.4 is an intelligence layer that sits between your network traffic and your observability stack, converting raw packets into actionable, application-aware and user-aware metadata for analysis, monitoring, and security.
How does ASN v2.4 support AI-ready network observability?
ASN v2.4 generates metadata across the application, protocol, session, and subscriber layers, which can be consumed by Kafka streams in JSON format for use with AI and machine learning tools.
Does ASN v2.4 require proprietary hardware?
No, ASN runs on general-purpose x86 hardware from vendors like Dell, Supermicro, Cisco UCS, HP, Lenovo, and NVIDIA, eliminating dependence on specialized proprietary appliances.
Can ASN v2.4 be deployed in cloud or hybrid environments?
Yes, vASN can be deployed as a virtual machine or container-based service, integrating with cloud-native traffic mirroring and vTAPs to provide visibility into east-west and intra-host traffic across public clouds, edge, and multi-cloud environments.
How many applications can ASN v2.4 identify?
ASN can discover and classify over 2,000 applications while also removing L2 to L4 duplicate packets, reducing downstream processing overhead by up to 30 to 50 percent.
Does ASN v2.4 support 4G and 5G network visibility?
Yes, ASN uses GTP correlation to combine control and user plane traffic, enabling subscriber-level observability across both 4G and 5G networks.
How well does ASN v2.4 scale for high-performance environments?
ASN scales linearly with compute resources, delivering approximately 4 Gbps per core for deduplication using IMIX traffic and supporting throughput up to 400 Gbps with around 100 cores.
Explore Aviz Service Node v2.4 to see how AI-ready packet intelligence can improve visibility, reduce infrastructure costs, and strengthen modern network observability.


