Agents that Unite Logs, Metrics, and Traces

Breaking Down the Silos Most operations teams still work with fragmented tools: logs in one system, metrics in another, traces in yet another. This siloed approach slows down troubleshooting and forces engineers to stitch together the big picture manually. AI Agents change that by consuming all three data types simultaneously—eliminating blind spots and enabling a more complete view of system health.

From Data Points to Storylines

Observability provides the raw signals, but AI Agents weave them into coherent narratives. A latency spike in metrics aligns with an error in logs, which maps to a specific trace in a service call. Instead of juggling tools, operators get a clear explanation of what happened, where, and why. This reduces context switching and accelerates resolution times.

Smarter Decisions, Faster Outcomes

Organizations that unify telemetry with AI Agents report up to 35% faster root cause analysis and fewer misdiagnoses. By turning fragmented signals into actionable insights, agents give operators not just more data—but the right data, at the right time, in the right context.

Ready to unify your telemetry into a single story? Observeasy empowers AI Agents to connect logs, metrics, and traces—so your team resolves issues faster, with greater clarity. 👉 Book a demo and see observability-driven automation in action.