Kentik Blog
Starlink, the revolutionary low-earth-orbit satellite-based internet service, has quickly become one of the most transformative technologies in the world of internet communications. Using over three years of GeoIP data, we analyze the growth of Starlink as it expanded from 41 to 157 countries. This evolution included the emergence of “Community Gateways” and notable GeoIP entries for locations like Mars, Antarctica, SpaceX launch sites, and politically sensitive areas such as the Palestinian Territories, Kosovo, Venezuela, Myanmar, and Sudan.
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.
At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever. In this post, learn about the shift from experimental AI to enterprise-ready systems, and why network intelligence is the glue holding it together.
Kentik transforms real-time network telemetry into actionable alerts for AI-optimized data centers. By converting database queries into custom alerts, engineers can detect issues like elephant flows, idle links, and packet loss before performance suffers and triggers alerts in systems like ServiceNow or PagerDuty.
Elephant flows are no longer rare. They’re foundational to AI workloads. In today’s GPU-heavy data centers, long-lived, high-volume flows can distort ECMP, overflow buffers, and rack up unexpected cloud bills. Kentik helps you see and tame these elephants with real-time flow analytics, automated alerting, and predictive capacity planning.