Why unified observability matters in multicloud security

As enterprises contend with the accelerating complexity of multicloud environments, unified observability is emerging as a cornerstone for modern operations and security.

Today’s cloud-native organizations face heightened demands for operational visibility and threat response across distributed systems. From FinOps to SecOps, aligning data, people and processes is critical, but remains a persistent challenge. Observability platforms that bridge telemetry, performance metrics and security insights are becoming essential for enabling this convergence.

In the latest episode of theCUBE Research’s AppDevANGLE podcast, theCUBE’s Paul Nashawaty (pictured, left) is joined by Matthew Warner (top, right), chief executive officer and founder of Blumira Inc., and Ryan Sosin (bottom right), principal product manager at DoiT International USA Inc. They discussed the growing role of unified observability in streamlining developer workflows and advancing security practices across multicloud environments.

“We’re dealing with so much signal today that the idea of data locality, enrichment, and correlation in one platform is more necessary than ever,” Warner said.

Observability challenges in multicloud environments

To address the rising complexity of infrastructure, platform teams are rethinking how observability and security data are collected, enriched and used. Instead of siloed dashboards and narrow domain tools, there’s a push for platforms that integrate both DevOps and SecOps needs.

“We’re moving away from the idea of isolated tools and toward something that’s truly integrated into the developer experience and the operations workflow,” Sosin said.

This growing demand for unified observability reflects a shift in enterprise priorities. It’s no longer enough to monitor uptime or security events independently. Platforms must provide developers with real-time context and security teams with proactive alerts.

“One of the things that we’ve realized is [that] when you give a developer telemetry and observability data that makes sense to them, they’re going to solve the problem,” Warner said. “When you give them logs and hope they find the problem, it becomes guesswork.”

Delivering unified observability where it matters

To make observability truly actionable, it must integrate with where developers and operations teams already work — reducing friction, not adding new layers of complexity. Both Sosin and Warner emphasized the need for observability platforms that can normalize and enrich data at scale without creating blind spots or added costs.

“Developers are asking, ‘Why does this metric cost so much? Why do we pay so much for logs?’” Sosin said. “The conversation has moved from ‘We need this data’ to ‘How do we make it usable and efficient?’”

This shift reflects a broader market trend: Developers are increasingly taking ownership of cost optimization, performance management and security posture. At the same time, security leaders such as Warner are focused on aligning detection engineering with engineering workflows.

“Our biggest goal is to empower the security team to have the same kind of workflows and capabilities that the developers have,” Warner said. “It’s about letting them ship detections the same way you’d ship code, with tests, with verification and with observability.”

Here’s the complete conversation with theCUBE Research’s Paul Nashawaty and Matthew Warner, part of theCUBE Research’s AppDevANGLE podcast series:

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