Most observability platforms are expensive Band-Aids on a broken system.
They patch the symptom. They miss the disease. And while your teams are buried in alert noise, the real problems, the ones that cost you millions, slip through undetected.
Here's what nobody wants to admit: traditional monitoring wasn't built for your world. Over 90% of enterprises now operate across multi-cloud environments, yet most are still wrestling with siloed dashboards, static thresholds, and reactive firefighting. The gap between what your infrastructure demands and what legacy tools deliver has become impossible to ignore.
The financial pressure is real.
Downtime for large enterprises costs close to $50 million per incident, a number that keeps executive teams awake at night. Beyond the immediate hit, performance degradation compounds the damage: compliance risks, customer churn, reputational erosion.
And then there's the human cost. Your best engineers are burning out chasing ghosts across fragmented systems, spending hours manually correlating data to find what should be obvious.
Enough firefighting. It's time for observability that thinks ahead.
This Xoriant Point of View introduces a fundamentally different approach to observability, one that moves beyond reactive alerts and toward systems that actually think. Learn about:
The observability maturity gap
Understand why traditional monitoring fails at scale and what separates reactive from predictive enterprises.
Observability as a strategic layer
Learn how AI-powered intelligence transforms operations from firefighting mode to precision-driven insights.
The path to autonomous resilience
Discover how enterprises are moving from manual correlation to proactive systems that act before disruption.