May 20
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Observability is no longer just about dashboards and alerts. It is becoming an autonomous operational control layer for AI-native infrastructure. In this episode of AppDevANGLE, Martin Mao, SVP and GM of Observability at Palo Alto Networks and former CEO of Chronosphere, joins Paul Nashawaty to discuss how observability, cybersecurity, and AI operations are converging into a unified operational intelligence platform. The conversation explores why telemetry pipelines are becoming foundational infrastructure, how AI agents are changing incident response, and why enterprises are moving toward automated remediation instead of reactive troubleshooting. As cloud-native complexity grows, organizations are being forced to rethink how operational visibility, security, and remediation work together across distributed environments. Key Highlights - Why observability is evolving beyond monitoring into autonomous remediation - How AI agents are changing incident detection and operational response - The growing importance of telemetry pipelines in AI-native environments - Why observability and cybersecurity are converging operationally - How Palo Alto Networks and Chronosphere are approaching unified operational intelligence - Why fragmented observability tooling is becoming a scalability problem - The role of automation in reducing operational latency and downtime - How enterprises are preparing for AI-driven operational environments