AI is only as strong as the foundations it's built on. Are we overlooking Monitoring?

We talk a lot about AI transforming operations, but here's a reality check: AI is useless if your systems can't stay healthy.

This is where Monitoring steps in—a fundamental, often underappreciated practice. It's the continuous collection of metrics and health indicators that keeps everything running. Tools like Prometheus, Grafana, and CloudWatch do more than track performance; they're the lifeline for detecting issues before they escalate.

But here's the problem: in the AI era, many teams treat Monitoring as an afterthought. They jump to advanced solutions without a solid system to measure the basics. The result? AI trying to make decisions in a fog of unreliable data.

If we want AI to improve lives, we need to start by mastering the fundamentals like Monitoring. After all, what good is a predictive model if the system it runs on is failing?

Are your monitoring practices ready for AI-driven systems?