Kentik Blog
Agentic AI is the next evolution in network management, moving beyond simple automation to intelligent systems that can reason, plan, and act autonomously. Justin Ryburn, Kentik Field CTO, highlights how this shift automates expertise, enables proactive problem-solving, and empowers human engineers for strategic innovation.
Jezzibell Gilmore’s latest blog dives into the critical challenge network operators face: bridging the gap between massive traffic growth and understanding its actual cost. Learn why real-time, traffic-based cost intelligence is no longer optional for maintaining margins and driving revenue in today’s complex network landscape.
In this post, we dig into the impacts from the latest submarine cable cuts in the Red Sea from loss of transit for regional providers to the increase in latency for the major public clouds.
The fastest GPU is only as fast as the slowest packet. In this post, we examine how the network is the primary bottleneck in AI data centers and offer a practical playbook for network operators to optimize job completion time (JCT).
Introducing Kentik Traffic Costs, an industry-first automated workflow delivering instant cost estimates for network traffic slices. Learn how this exciting new feature gives network, financial, and sales teams actionable insights to optimize spend, improve margins, and drive revenue.
Flow data has always held immense potential, but was often inaccessible because it lacked context and speed. Kentik removes that friction by automatically enriching flow with human-readable context, making it a daily driver for everyone, not just specialists.
Last month, Starlink suffered its largest outage in years, arguably its biggest since becoming a major internet provider. In addition to the millions of individual customers around the world, the outage disconnected the Community Gateways, customers of Starlink’s new transit service. In this post, we delve into the outage and its impact on these far-flung networks.
VXLAN overlays bring flexibility to modern data centers, but they also hide what operators most need to see: true host-to-host and service-to-service traffic. Kentik restores that visibility by decoding VXLAN from sFlow, exposing both overlay endpoints and underlay paths in a single view without the cost and complexity of pervasive packet capture — the result: faster troubleshooting, smarter capacity planning, and confident operations at scale.
On July 14, Cloudflare’s popular public DNS service (known as 1.1.1.1) suffered an outage lasting over two hours. As rumors swirled about the cause, we were the first to push back on the theory that a BGP hijack had caused the outage. In fact, the hijack was actually a consequence. How did we know this so early when other internet watchers did not? We’ll discuss in this post.
In large-scale AI model training, network performance is no longer a supporting actor — it’s center stage. Job Completion Time (JCT), the key metric for measuring training efficiency, is heavily influenced by the network interconnecting thousands of GPUs. In this post, learn why JCT matters, how microbursts and GPU synchronization delays inflate it, and how platforms like Kentik give network engineers the visibility and intelligence they need to keep training jobs on schedule.