Application Monitoring
Also called: Application Performance Monitoring, APM
The practice of collecting and analyzing telemetry from applications to track performance, availability, errors, and overall operational health.
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Related terms
The practice of continuously tracking an AI model's performance, behavior, usage, and operational health in production.
AI ObservabilityThe practice of monitoring, tracing, and analyzing AI systems to understand their behavior, performance, reliability, and operational health in production.
LoggingThe practice of recording application, model, and system events to support debugging, monitoring, troubleshooting, and operational analysis.
Distributed TracingAn observability technique that tracks requests as they flow across multiple distributed services to measure latency, diagnose failures, and analyze system behavior.
Metrics CollectionThe process of gathering quantitative measurements from AI systems and applications to track performance, reliability, usage, and operational health.