May 12
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Observability is evolving fast, and dashboards may not be part of the future. In this AppDevANGLE episode, Paul Nashawaty sits down with Laduram Vishnoi, Founder and CEO of Middleware, to explore how AI is transforming observability from reactive monitoring into autonomous remediation. As modern systems generate massive volumes of telemetry, traditional tools struggle with noise, cost, and complexity. AI-driven platforms are now stepping in to unify data, reduce alert fatigue, and automatically detect and fix issues in real time. Key Highlights - Why observability is shifting from dashboards to AI-driven automation - How AI reduces noise and identifies what actually matters - The cost problem: why observability bills can exceed cloud spend - How unified platforms improve correlation across logs, metrics, and traces - Why MTTR can be reduced by up to 60–80% with AI - The future of observability: autonomous systems generating fixes and PRs