Operations | Monitoring | ITSM | DevOps | Cloud

You've got Prometheus running in one cluster — maybe a dev environment, a single EKS cluster, or a proof-of-concept setup. The configuration is straightforward: node_exporter on a few EC2 instances, some service discovery for pods, and a single Prometheus server scraping everything. Storage is local, retention is 15 days, and you can keep all the default recording rules without worrying about costs.

Carrier pigeons once flapped through war zones with vital messages. Today? Sensor fusion delivers battlefield intel faster than thought. The fight isn’t just about who has the data, it’s about who moves on it first. Speed wins wars now! Read how it’s changing the game, how deployable command and control (C2) nodes can help, and why network slicing is a key ingredient in building a resilient, high-speed transport network: Carrier Pigeons to Sensor Fusion: Speed Matters in Information.

In a recent survey, Udacity’s team explored the evolving landscape of AI adoption by asking 2000 professionals (including those in the legal sector) if they used AI. Unsurprisingly, over 90% of respondents said they did. More concerning, 72% of managers reported personally paying out of pocket for AI tools to use at work, introducing uncontrolled risk into corporate environments.

If you have worked in IT for more than five minutes, you know Murphy’s Law: anything that can go wrong will go wrong sooner or later (sometimes at the worst possible time). Systems do not wait for you to finish your coffee, much less for you to get back to your desk. So, yes, we know your pain. That is why more IT pros are leaning on mobile tools–like Pulseway RMM Mobile App–to stay ahead of problems instead of scrambling back to the office or dragging around a laptop everywhere.

AI has made it faster and easier to change a codebase than ever before. But in a system as complex and interdependent as modern software delivery, writing code has never been the biggest challenge. For most teams, the real constraint is getting that code safely into production. So while AI assistants and autonomous coding agents have dramatically accelerated the pace of change, for many organizations those changes are piling up against bottlenecks that were already slowing them down.

Want a quick path to NVIDIA DCGM monitoring? This guide shows how to install the DCGM Exporter, scrape /metrics, visualize in Grafana, and set alerts for power, errors, and utilization.

Every engineering leader eventually asks the same question: What happens if my cloud region goes down? This isn't unheard of, or even rare, and the stakes are obvious. A single-region deployment might work fine on day one, but it leaves you exposed: one outage, one fiber cut, or one bad update from your provider, and your application is offline. In some cases, your entire business could be at risk. That's why recently, multi-region architecture has become the gold standard.