Signal Intelligence Changes the Observability Model
Mike Vizard talks with Ronak Desai, CEO of Ciroos, about why observability is moving toward signal intelligence. Desai says traditional dashboards have created too much cognitive load for SRE, DevOps and operations teams. Teams receive thousands of alerts, but they can only investigate a small percentage of them. Signal intelligence takes a different approach. It correlates logs, metrics, traces and alerts so teams can focus on the issues that actually need action.

The conversation explains why observability did not always deliver on its promise to reduce mean time to repair. Many organizations invested in dashboards, but those dashboards still required humans to connect the dots. That made incident response slow and inconsistent. Signal intelligence is designed to reduce that burden by using AI agents to reason across data sources. The goal is to surface the right problems, explain what is happening and provide evidence for each recommendation.
AI Agents Reduce Alert and Investigation Fatigue
Desai explains that operations teams can move from alert fatigue to investigation fatigue if AI only produces more analysis for humans to review. Ciroos is focused on taking that next step. The system can group related alerts, investigate causes and recommend actions. In some cases, teams can also give agents permission to take approved remediation steps.

This shift is especially important as software environments become more complex. Modern applications span cloud platforms, Kubernetes, databases, security tools and distributed services. Human teams cannot watch every signal around the clock. AI agents can monitor those environments continuously and highlight the few actions that matter most.
Better Support for SRE and Operations Teams
The episode also looks at how signal intelligence can help L1 and L2 support teams become more effective. Desai says AI-powered analysis can help those teams ask better questions, narrow down issues and act with more confidence. That reduces the need to pull senior SREs into every incident.

For IT leaders, the value is not just faster troubleshooting. Signal intelligence can also reduce burnout, improve resilience and free experts to focus on bigger problems. As AI becomes part of IT operations, the next phase of observability may be less about building more dashboards and more about delivering trusted, evidence-backed actions.