network-observability
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Your network is green. So why is everyone waiting?
Network Observability by Broadcom follows the awkward stretch between a healthy dashboard and an unhappy user. Its pairing of AppNeta and DX NetOps makes the networks you do not own part of the investigation.
IBM SevOne and the expensive art of seeing clearly
BT replaced five monitoring systems with SevOne and reports saving millions a year. The lesson begins with a surprisingly ordinary problem: too many instruments, too little understanding.
EfficientIP wants to give the network team its afternoon back
At Société Générale, a two-hour application-switching task fell to ten minutes. Behind that small victory sits a French software company selling control over the network services almost nobody notices until they stop working.
The 37-Year-Old Telecom Engineer Teaching AI to Watch Every Packet
Telesoft spent decades learning how carrier networks behave. Now it is turning that hard-won packet craft into an on-premise security stack for organisations that cannot afford blind spots - or send their most sensitive traffic to somebody else’s cloud.
David Klein Put Network Observability in a Perfume Bottle
Kentik’s CMO makes deeply technical infrastructure memorable with audience research, cheap cameras, quick jokes and the occasional fictional fragrance.
Kentik Turned Network Guesswork Into a $4 Million Question
The network-observability company made billions of traffic records searchable in seconds, then taught the platform to reason across them. Now part of Infoblox, Kentik is betting that the next great network tool will give an answer, not another dashboard.
Pico Built the Plumbing for 900 Markets - Then Turned the Pipes Into a Data Business
Banks once stitched trading infrastructure together vendor by vendor. Pico spent 17 years turning that headache into one managed stack - and the network itself into a source of intelligence.
Vishal Shukla
Vishal Shukla is the co-founder and CEO of Aviz Networks, a San Jose-based company building an AI-first, vendor-agnostic networking platform on top of the open-source SONiC operating system. A networking veteran with more than 20 years of experience, he previously held leadership roles at Cisco, IBM, Mellanox (NVIDIA), and Nortel. He holds 25-plus granted patents, has authored books on SDN, OpenFlow and OpenStack, and wrote 'Deciding the Future: Building New Networks for the AI Era.' Under his leadership Aviz raised a $17M Series A in November 2024 (roughly $31M total), backed by investors including Cisco Investments and Qualcomm Ventures.
Aviz Networks
Aviz Networks is a San Jose-based networking software company that helps enterprises run open, vendor-agnostic networks built on the open-source SONiC operating system and layered with AI. Its stack - ONES, Open Packet Broker, and the GenAI Network Copilot - lets organizations deploy, observe, and operate multi-vendor, multi-ASIC networks across the data center, edge, and AI factory without vendor lock-in, combining 24x7 SONiC support with orchestration, telemetry, and plain-language automation.
Kannan Kothandaraman
Kannan Kothandaraman is the Co-Founder and CEO of Selector AI, a Santa Clara-based AIOps and network observability platform that uses large language models, knowledge graphs, and causal reasoning to help Fortune 1000 enterprises detect, diagnose, and resolve infrastructure issues faster. Before founding Selector in 2019, Kannan spent nearly two decades at Juniper Networks - rising from senior software engineer to Vice President of Product Line Management - and before that at Cisco Systems. Selector has raised $104 million in total funding, including a $32M Series B in February 2026 at a valuation of $375 million, and counts Fortune 20 companies in manufacturing and healthcare among its customers.
Selector
Selector is an AI-powered network and infrastructure observability platform founded by ex-Juniper Networks executives. It combines a network-specific large language model, knowledge graphs, and causal reasoning to ingest telemetry from across complex hybrid environments, cut alert noise, surface root cause, and reduce mean time to resolution for telecoms, cloud providers, and global enterprises.