Dynatrace and NVIDIA have integrated their platforms to address observability challenges in agentic AI systems. The integration works two ways: Dynatrace ingests OpenTelemetry traces from the NVIDIA Agent Toolkit to visualize agent workflows, monitor GPU utilization, track token consumption, and detect pipeline bottlenecks; and Dynatrace exposes operational telemetry via Model Context Protocol (MCP) so AI agents can incorporate real-time infrastructure insights into their reasoning. Key use cases include infrastructure migration analysis, large-scale incident pattern detection, AI cost governance, and software delivery reliability insights for DevOps and SRE teams.
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Why agentic AI needs full-stack observabilityHow Dynatrace addresses Agentic AIHow Dynatrace integrates NVIDIA AI-QAI-Q use casesGet started today166 Impressions