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Learn how a powerful Observability Stack transforms modern Agent-to-Agent (A2A) systems into transparent, scalable, and high-performing platforms. In this video, we break down key observability components used in distributed AI systems: Distributed Tracing with OpenTelemetry Structured Logging using JSON & centralized platforms Kafka Consumer Lag Monitoring with Prometheus Real-time Agent Performance Dashboards in Grafana Hallucination Detection for AI reliability Immutable Audit Logs with Kafka (a2a.audit.trail) Cost Attribution & FinOps for AI systems