AI Ops & Observability in VAST DataBase

As analytics and AI pipelines scale, observability becomes fragmented across multiple tools, making it difficult to understand system performance, data flow, and operational bottlenecks. Traditional monitoring approaches are not designed for real-time, AI-driven data systems.

In this session, we explore how the VAST AI OS enables built-in observability across queries, pipelines, and data operations. We will show how teams can monitor and optimize performance in real time and gain visibility into AI-driven workflows.

We will also demonstrate how VAST consolidates observability into the data platform itself, reducing the need for external monitoring systems and enabling integrated, real-time operational intelligence.

Key Takeaways

  • Why traditional monitoring breaks for AI-driven data systems

  • Built-in observability across queries, pipelines, and data

  • How to monitor and optimize performance in real time

  • How VAST integrates observability into the data platform

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