Your AI agents are failing. You just don’t know why yet.

As organizations transition from simple chatbots to complex, multi-pass agentic AI systems, traditional observability frameworks are hitting a breaking point. Monitoring CPU spikes and standard RED metrics (Rate, Errors, Duration) is no longer enough—they only tell you that an agent responded, not whether its response was correct, consistent, or safe.

In this webinar, engineering leaders from AWS and SAP explore how the open source OpenSearch Observability Stack bridges the gap, offering the transparency, reasoning traces, and cost-effective scalability needed to manage high-stakes AI infrastructure without proprietary data taxes.

The era of “collect everything” is over.

The industry mantra has long been “collect everything.” However, as engineering leaders face the “data swamp” and skyrocketing costs from proprietary vendors, the focus is shifting. In the age of AI agents and complex distributed systems, the new mandate is: “Quality in, Value out.” If your instrumentation is poor, your OpenSearch dashboards, alerts, and AI reasoning traces will be unreliable.

This webinar introduces the Instrumentation Score (IS), a vendor-neutral, community-driven benchmark, as the primary KPI for your observability strategy. We will explore how to use this framework to audit your OpenTelemetry data before it ever hits your cluster. By ensuring high-fidelity instrumentation, you unlock the full power of the OpenSearch Observability Stack, moving beyond basic logging to sophisticated, correlated analysis that reduces MTTR and tames the “data tax.

Your AI agents are reasoning in the dark.

In this session, we will explore how the OpenSearch Observability Stack, a unified, vendor-neutral, and Apache 2.0-licensed platform, solves these complex challenges. We will discuss how to move from a “data swamp” to actionable intelligence by correlating logs, traces, and Prometheus metrics to ensure agentic stability at scale.

Join Dotan Horovits and Megha Goyal from AWS as we bridge the gap between raw telemetry and strategic insight, using OpenSearch as the neutral, scalable engine for observing the next generation of AI.