Operations | Monitoring | ITSM | DevOps | Cloud

Kentik CEO and co-founder Avi Freedman explains why observability is not enough in the age of AI.

AutoCon3 in Prague offered important takeaways on network automation’s evolution, from hands-on learning and design principles to the impact of AI and the power of community. Read Justin Ryburn’s recap to learn about key insights from the event, showing why network automation is now a core competency you’ll want to understand.

The tools we use shape how we see problems. When flow and metrics are siloed, so is your visibility.

In leaf-spine data center networks, traffic often becomes imbalanced, leaving some uplinks idle and resulting in wasted bandwidth. Kentik helps engineers identify underutilized paths, diagnose the causes, and take corrective action using enriched telemetry, visual topology maps, and intelligent alerts, turning hidden inefficiencies into actionable insights.

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.

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.