Operations | Monitoring | ITSM | DevOps | Cloud

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.

Introducing Cause Analysis: Instant Triage for Traffic Changes with Kentik AI

Introducing Cause Analysis from Kentik, designed to simplify network traffic analysis and rapidly identify the root cause of issues. Learn how this exciting new feature streamlines troubleshooting, makes complex insights accessible, and boosts team efficiency for all users.

AutoCon3: Network Automation's Premier Conference

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.

Identifying Idle Paths in a Data Center Leaf-Spine Fabric

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.