Monitoring is how you know what's actually happening in your systems—the difference between operating with confidence and hoping nothing breaks.
The hardest question in monitoring isn't technical—it's philosophical. What matters enough to watch? What's noise disguised as signal?
Without baselines, monitoring is guesswork. Learn how to establish what 'normal' looks like so you can recognize when something's actually wrong.
Check results are symptoms, not diagnoses. Learn to read patterns, distinguish signal from noise, and understand why a green dashboard can lie to you.
Anomaly detection teaches machines to sense when something feels wrong—not just when a threshold is crossed, but when behavior deviates from patterns in ways that static rules can't capture.
Monitoring detects problems you anticipated. Observability helps you understand problems you didn't. Learn when each approach matters and how they work together.
Was this page helpful?