Operations | Monitoring | ITSM | DevOps | Cloud

Avoid the Swivel-Chair Tool Stack: Conway Corporation on Why Kentik Wins

Everett Sinclair, Network Administrator at Conway Corporation, explains why Kentik became their “one pane of glass” for cloud-based network visibility, rapid troubleshooting, and smarter peering and caching decisions. With Kentik’s SaaS network intelligence platform, Conway gets updates automatically, avoids server rebuilds, and can deploy cloud agents remotely to run simple metric tests close to customer locations.

7 Real Ways to Modernize NetOps with Kentik AI Advisor

Kentik’s AI Advisor acts as a virtual network engineer, helping teams of all skill levels troubleshoot, manage, and optimize their infrastructure with unprecedented speed and context. We explore seven practical NetOps use cases, from rapid incident triage and capacity planning to upcoming live-device command support, that demonstrate how using AI as a collaborative teammate dramatically reduces manual investigative work.

AI NetOps: How AI and Machine Learning Transform Network Operations

AI is changing network operations (NetOps) from static automation into adaptive, data-driven systems that can summarize incidents, retrieve knowledge, and guide remediation with human oversight. In this talk, Phil Gervasi breaks down what “AI for NetOps” really means in practice, including the difference between classical ML and large language models (LLMs), why data pipelines matter more than model tuning, and how patterns like RAG (retrieval augmented generation), text-to-SQL, and agentic workflows turn raw telemetry into decisions.

"Not Having Kentik Is Unacceptable": 5 Service Providers on Kentik

Five customers explain why Kentik is essential for understanding traffic, controlling network cost, and planning for growth. Hear from Sorin Esanu (Race Communications), Michael Leclaire (MetroNet), John Lubeck (Midco), Wallace Lee (Imperva), and Everett Sinclair (Conway Corporation) on how they use Kentik to see “the bits on the wire,” dig deeper than traditional reporting tools, and turn network data into better customer experiences.

3 Service Providers on Kentik AI Advisor: Faster Answers, Faster Fixes

Three service provider customers share how Kentik AI Advisor helps them move faster, troubleshoot smarter, and put network data in more hands across the team. Hear from Everett Sinclair (Conway Corporation), Michael Leclaire (MetroNet), and John Lubeck (Midco) on why they chose Kentik to unify flow analytics, baselining, and anomaly detection in one platform, and how Kentik AI features make it easier to explore, explain, and act on what’s happening in their networks.

From Ukraine to the Cloud: Stories of IPv4 Migration

This post expands on our analysis from last year that revealed that as much as 20% of IPv4 space has migrated out of Ukraine in the years following the Russian invasion in February 2022. This update reveals that AT&T (a popular destination for Ukrainian IPs) has since implemented a policy ridding itself of customers using AS7018 to originate their routes, often to support residential proxies.

AI Is Bigger Than LLMs: Why Network Teams Need to Think Beyond Chatbots and Agents

AI in network operations is more than chatbots and agents. LLMs make AI easier to use, but the real value comes from the underlying system of telemetry, data pipelines, analytics, ML models, domain knowledge, and workflows that help engineers reason, predict, and act. When designed thoughtfully, AI doesn’t replace engineers. Instead, it augments their expertise and reduces cognitive load across complex network operations.

How to Troubleshoot BGP Faster with Kentik AI Advisor

A BGP session goes down because a transit provider exceeded the maximum prefix limit. How do you find the root cause — fast? In this 10-minute demo, we walk through two approaches using Kentik AI Advisor. First, we troubleshoot step by step using natural language: asking AI Advisor to identify the affected interface, check for interface flapping, and review syslog messages until we find the maximum-prefix violation. Then we show how custom network context and natural language runbooks let AI Advisor do the entire investigation autonomously — following the same four steps a senior engineer would.