Full-stack observability for AI applications, LLMs, and agents
Monitor performance, cost, quality, and compliance across your entire AI stack from the user experience layer through orchestration to the model and infrastructure below.
See everything across your AI stack
AI applications introduce failure modes, cost unpredictability, and compliance risk that traditional observability tools aren't built to handle. Dynatrace gives you end-to-end visibility from user experience through orchestration to LLM and infrastructure, all in one platform.
Performance and cost
Monitor token usage, latency, and model reliability across every AI service so teams can optimize spend and catch degradation early.
Quality and safety
Detect hallucinations, prompt injection, PII leakage, and toxicity with built-in guardrail monitoring and continuous LLM evaluation scoring.
Compliance and traceability
Maintain full data lineage from prompt to response with long-term storage and audit-ready dashboards that support regulatory standards.
Integrate and observe
Integrate and observe every AI stack layer — from user applications to LLMs and infrastructure — with native support for top AI platforms.
Track how AI creates productivity gains, deflects support tickets, acts autonomously, and delivers return on investment.
Trace end-user experience, availability, and reliability of AI-powered applications.
Track chain performance, guardrails, and prompt caching across orchestration frameworks.
Observe agent protocols, command execution, tool usage, and multi-agent communications.
Assess token usage, cost, stability, latency, invocation errors, and resource utilization of model outputs.
Monitor RAG pipelines, data volume, distribution, and retrieval patterns.
Track utilization, saturation, and errors across GPUs, TPUs, and compute resources.
End-to-end observability for AI, LLMs, and agents
Reduce cost and improve AI performance at scale
Token costs and latency compound quickly across AI applications. Dynatrace monitors your full Gen AI stack, predicts cost increases before they land, and surfaces the slowest requests and errors so teams can act early.
Monitor guardrails and protect AI output quality
Hallucinations, prompt injection, and PII exposure create real production risk. Dynatrace scores response quality with LLM-as-a-judge evaluation and alerts teams the moment quality drifts, before users notice.
Trace every request from user to model
Debugging AI failures requires visibility across the full stack. Dynatrace traces each request end to end across frontend, backend, orchestration, RAG, and LLM layers, and automatically pinpoints root cause so teams resolve issues before customers feel them.
