Top Application Monitoring AI Tools
These tools provide deep visibility into your software stack, helping you detect performance bottlenecks, track error rates, and identify server-side latency before users notice an issue. They unify fragmented logs and real-time telemetry into a single dashboard to reveal exactly where a request failed. When selecting a platform, focus on the granularity of the trace data, the ease of integrating with your existing framework, and the specific alerting filters that minimize noise during high-traffic events.
Automatically protects Cursor and other AI apps
Trace LLM requests + costs with OpenTelemetry monitoring
Build TS AI agents with n8n-style observability
AI error tracker that tells you why bugs happen and fix it.
Observability that tells you what’s wrong
Ask your product what happened, in plain english
Ship AI agents you can actually see
Observability & A/B Testing for LLM Apps
Spot Risky AI Behavior Before It Ships
Ship reliable AI apps with autonomous testing agents
Master the Pulse of your Business
Trace AI requests, workflows, and costs in one timeline
Monitor, compare and catch risky AI outputs
Full observability for AI agents. Zero code changes.
Datadog for AI agents — trace, eval, and monitor LLM apps
Catch broken deploys before your users do.