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AI at the Door, Turning ‘Tech Debt Panic’ into ‘Tech Debt Repairs’

with Prerit Munjal

Thursday 26 November 16:00 – 16:30 Mainstage

About This Session

Modern infrastructure is overflowing with signals, but most of them never reach the systems or people that matter. As environments scale, teams drown in logs, traces, metrics, alerts, playbooks, incident timelines, and dashboards that barely talk to each other. Every gap, every silo, and every manual handoff quietly compounds into the one thing that slows every engineering organization down: Technical debt. Today, AI is finally giving us a way to fight back. Join this talk as we explore how MCPs, sub-agents, autonomous workflows, and intelligent telemetry meshes are helping teams break apart legacy debt, reduce operational drag, and detect issues long before they become incidents. By spanning data across disconnected systems, reasoning over context that humans can’t manually correlate, and shipping decisions, not dashboards, AI is transforming observability from a passive cost center into an active engine for debt elimination & delivery velocity.

Topics

  • AI Models
  • Multi-Cloud
  • Observability