Data is crucial for IT professionals looking to keep IT infrastructures running smoothly.
Modern IT systems are awash with a constant flow of data providing information on system performance and security. This data is crucial for IT professionals looking to keep IT infrastructures running smoothly.
The snag is, with so much information available, it’s almost impossible to decipher what’s routine and what potentially could pose a threat. Trying to figure out the digital wheat from the chaff requires more than just visibility. It requires increasingly sophisticated systems that can interpret, prioritize and act—not simply collect information.
Unfortunately, most observability tools today don’t work this way. They generate alerts, log events and surface anomalies. And while technology is improving all the time, they don’t always understand what’s happening or how to respond.
Take a typical global enterprise running a hybrid architecture. It may have critical applications that are spread across multiple cloud providers, while also relying on on-premise legacy systems. Together, these systems are shepherded by dozens of monitoring tools generating thousands of alerts every day.
Some are false positives. Others are minor policy breaches. But lurking somewhere in the noise is a genuine security incident. And by the time it’s spotted… well, it could be too late.Observability is becoming more intelligent
What’s missing isn’t just more tools or greater visibility. It requires a new, highly sophisticated level of observability—one that works more like a human brain with the ability to filter out noise, recognize what matters and trigger the right response at the right time. What’s needed is something intelligent that can ’think’ for itself.
