Operations | Monitoring | ITSM | DevOps | Cloud

Cloudflare's DNS Downtime: Why BGP Hijacks Were Never to Blame

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.

Kentik Cause Analysis in 60 Seconds

In a world where network traffic can suddenly spike, manually sifting through flow data is often a daunting task. Kentik AI's new Cause Analysis simplifies troubleshooting by quickly identifying changes in traffic by application, IP, ASN, or service. With just a few clicks, Cause Analysis helps you compare time periods, understand traffic shifts, and detect changes in your network. Kentik: Take the hard work out of running your network.

The Network Impact on Job Completion Time in AI Model Training

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.

Taking AI Apps From Prototype to Production

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.

Real-Time Alerting for AI-Optimized Data Centers

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.

Identifying Idle Paths in a Data Center Leaf-Spine Fabric

In a perfect leaf-spine network, traffic evenly spreads across all links. But reality is often different, leaving costly, idle paths hidden in your data center fabric. Kentik's Phil Gervasi demonstrates how Kentik's network intelligence platform helps engineers quickly identify and address these underutilized paths. With powerful visualizations, detailed telemetry analysis, and customizable alerts integrated into your ticketing systems, Kentik makes it easy to spot persistent traffic imbalances, troubleshoot ECMP issues, and optimize your infrastructure.

Elephant Flows: The Hidden Heavyweights of AI Data Center Networks

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.