Today, Al is rewriting the rules for observability. As agentic Al emerges, it is even coding software — making it critical for teams to have the visibility needed to ensure applications perform as expected.

 

Metrics, events, logs, and traces (MELT) from Al environments behave differently than in traditional and even modern application environments. GPU utilization, model latency, and data pipeline throughput matter as much as CPU or uptime, and they rarely move in predictable patterns. In isolation, these signals are noise. Pulled into a single view, they reveal the full picture of reliability, accuracy, quality, and security issues before they disrupt performance and undermine the user experience.

 

Al agents and LLMs place heavy, shifting demands on infrastructure. Monitoring alone can’t capture those dynamics. Teams benefit from measuring them against performance, reliability, and cost targets to confirm they’re delivering value without exhausting resources.