Aviz Networks Blogs

  Network observability is the lifeline of any modern digital infrastructure. Yet, for a space that’s so critical, it’s stuck in time. While the rest of the tech world is sprinting forward — driven by AI, cloud-native models, and vendor-neutral strategies — network observability is still clinging to a status quo that’s not just outdated, but  actively limiting. Let’s break it down. Here are five reasons why incumbent network observability solutions are failing us: 1. Still Hardware-First in a Software-First World In nearly every part of the infrastructure stack — from storage to compute to networking — we’ve seen a clear shift: software first, hardware second. Flexibility, scalability, and rapid innovation are made possible by decoupling software from rigid, proprietary hardware. Yet, most legacy network observability solutions still demand specialized boxes and appliances. Want to scale? Add more hardware. Want to adapt quickly? Sorry, you’re locked into a lifecycle that move...

  In today’s ever-evolving network landscape, staying ahead means continuously innovating. Building on the trusted foundation of our previous releases — including the robust telco features of 1.3.1 — we are excited to introduce R2.0. This release is not just an update; it’s a reimagining of how enterprise and telco networks operate, bringing you enhanced performance, precision, and peace of mind What’s New in R2.0 In R2.0, we’ve focused on adding tangible value for our customers. Here’s a quick look at what you can expect: Enterprise & Telco Readiness:  Fully ASN-ready for seamless deployment across large-scale networks. Packet Deduplication for DC:  Optimizes network performance by eliminating redundant packet processing. Advanced DPI for IP Packets:  Leverages cutting-edge deep packet inspection for precise application identification. Enhanced Packet Capture:  Delivers robust support tailored for both telco and enterprise environments. The image below prov...

  Abstract In modern data centers, network observability plays a crucial role in performance monitoring, security, and analytics. However, redundant network traffic can create inefficiencies, leading to excessive processing overhead and degraded system performance. This blog discusses an innovative approach to Network Observability DeDuplication, leveraging filtering, deduplication, and optimized distribution strategies to enhance network efficiency and improve analytics accuracy. Introduction As enterprises scale their digital infrastructure, managing high-bandwidth network traffic efficiently is a significant challenge. Duplicate packets from various sources, including TAPs and mirrored configurations (SPAN, ERSPAN), lead to unnecessary data processing, storage, and bandwidth consumption. Network Observability DeDuplication addresses this challenge by filtering irrelevant traffic, identifying duplicate packets, and ensuring optimized data distribution for analytics tools. Solutio...