Kentik Blog
In this post, we discuss how the ongoing war in Ukraine has led to a significant decline in the amount of IPv4 address space announced by Ukrainian Autonomous Systems (ASes), and why those addresses are often now being announced by western ISPs and major public clouds.
By applying data engineering and machine learning to raw network telemetry, it’s possible to surface insights that would otherwise go unnoticed. Learn how this approach helps teams detect anomalies in real time, forecast capacity needs, and automate responses across complex, multi-domain environments.
Kentik and ServiceNow are teaming up to bring network intelligence to the ServiceNow® AI Platform. This integration enables ServiceNow ITOM customers, even those without deep network expertise, to answer questions about connectivity, performance, and more.
Our 2025 “Level Up” offsite at Margaritaville Resort in Orlando was the perfect blend of productivity and play! From inspiring team updates to thrilling excursions, the event brought us closer together and left us energized for the future. Curious about all the fun? Read on and experience the highlights.
On Monday April 28, 2025, the countries of Spain and Portugal experienced a widespread electrical blackout of historic proportions. In this post, we look into the internet outages caused by the loss of power including impacts outside of the Iberian Peninsula and to Starlink service in Spain.
AI is a hot topic right now, but it’s only valuable when it drives action. The real goal is business intelligence—insight that’s timely, trustworthy, and tied to decisions that move the business forward.
An AS-SET is a special object that represents a group of ASNs and forms the basis for IRR-based route filtering. However, many AS-SETs in circulation today have grown so big that they effectively whitelist much of the routing table, rendering them ineffective. According to recent analysis, there are currently 2,192 AS-SETs which expand to over 1,000 ASNs each! In this blog post, we’ll describe what an AS-SET is, its role in route filtering, and how to deal with excessively large AS-SETs.
While AI offers powerful benefits for network operations, building an in-house AI solution presents major challenges, particularly around complex data engineering, staffing specialized roles, and maintaining models over time. The effort required to handle real-time telemetry, retrain models, and manage evolving environments is often too great for most IT teams. For enterprise networks, partnering with a vendor that specializes in AI and network operations is typically a more efficient, scalable, and sustainable approach.