Operations | Monitoring | ITSM | DevOps | Cloud

Data centers have become the beating heart of digital business. Everything from financial transactions to cloud-based collaboration tools depends on the seamless movement of information between these high-powered facilities. As demand for bandwidth grows and companies stretch their networks across cities, states, and continents, the ability to connect data centers securely and efficiently has taken on new urgency. But linking data centers isn’t as simple as laying fiber between buildings.

If you’re running AI, ML, or data-intensive workloads on GPUs, monitoring their performance is critical. Overheating, under-utilization, or memory bottlenecks can cost you thousands in cloud bills and potential downtime. This guide walks you through collecting real-time GPU telemetry using nvidia-smi, sending it to Cribl Edge, routing it through Cribl Stream, and using Cribl Search to analyze the data—step by step.

Network visualization is the process of visually representing networks of connected entities, like devices, data flows, or relationships, using nodes and links. This technique helps in understanding complex data, identifying patterns, and improving network management by providing a clear visual overview of the network’s structure and behavior.