Operations | Monitoring | ITSM | DevOps | Cloud

Application Observability, Built for Hybrid Reality Modern applications don’t live in one place. A single transaction might span: Traditional APM shows you the trace. But hybrid reality doesn’t stop at the service layer. True application observability ties transactions to the infrastructure that actually delivered them across cloud, on-prem, and everything in between. Because in hybrid environments, the root cause rarely lives in just one tier.

Breaking down silos, unifying teams, and seeing problems before they impact performance—Virtana Application Observability empowers both application and infrastructure teams to collaborate smarter and act faster. This is the future of full-stack visibility.

War rooms don’t fix fragmentation. They expose it. Incident hits. App checks traces. Infra checks hosts. Cloud checks dashboards. Network checks packets. Everyone sees their layer. No one sees the system. So we guess. Rollback. Add capacity. Freeze change. The noise stops. The constraint doesn’t. Modern failures don’t live in tools. They live in dependencies. If your platform can’t follow a transaction across hybrid and AI infrastructure — to the exact constraint — you don’t have observability.

Millions of metrics. Zero clarity. That’s the reality many IT teams are facing today. As environments grow more complex, telemetry explodes. Millions of records generated every hour. Dozens of specialized tools for network, storage, Kubernetes, cloud, AI workloads. Each tool is good at its domain. But none of them answers the real question: Where should I focus right now? Fragmented visibility creates predictable failure modes.

Speed isn’t the problem. Speed without shared visibility is. AI compressed release cycles, multiplied dependencies, and pushed accountability to teams who no longer own the full stack. The result? Faster change. Slower resolution. Higher risk. This is why MTTR is moving the wrong way...and why observability has to evolve. : Amit Rathi.

Every CIO is asking the same question: Am I next? We’ve seen it across cloud providers, carriers, and global platforms—organizations with enormous scale and investment still experience public, business-impacting outages. The risk isn’t lack of effort. It’s the growing gap between AI-driven complexity and the ability to see, understand, and resolve issues fast enough to protect availability commitments.

Ever been on a 100-person P1 call where everyone says, “It’s not us”? That’s not a people problem. It’s a broken operating model. More tools. More data. More teams. And somehow… slower resolution. This is what happens when observability is fragmented across silos. Each team has data, but no one has shared truth—and human-scale operations can’t keep up with modern IT complexity. This clip breaks down why the old model no longer works.