As businesses increasingly digitize operations, IT systems are evolving into complex, distributed ecosystems. Applications run across multi-cloud environments, microservices power critical processes, and data flows in real time across countless touchpoints. While this transformation drives agility and scalability, it introduces significant challenges: hidden anomalies that can disrupt operations, frustrate users, and damage revenue.

Every IT environment relies on multiple monitoring tools to ensure smooth and uninterrupted operations across various systems—network, databases, servers, applications, and more. These tools constantly scan for any performance anomalies to keep everything running smooth. However, when there’s a spike in performance metrics—such as CPU usage, network traffic, or database activity—each of these monitoring tools triggers its own alert for what might be the same underlying issue.