Traditional Monitoring Falls Short

• Check-based tools (like Nagios) run periodic scripts to verify if services are up — They execute checks every few minutes to confirm availability, but only answer simple questions like "Is it responding?"
• They focus on current, local health — not long-term behavior — Traditional monitoring shows the state at a specific moment, but lacks deep historical context for trend analysis or performance patterns.
• They operate as black-box systems — They probe services from the outside without understanding what happens internally — no visibility into application logic or internal metrics.
• They struggle in dynamic environments like Kubernetes — In containerized and auto-scaling systems, instances appear and disappear constantly, making static checks and fixed host-based monitoring unreliable.