AI and LLM Observability
Leverage best-in-class observability to improve the performance, explainability, and compliance of your Generative AI applications, LLMs, and agents.
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AI and LLM Observability
Achieve complete visibility and insights across every layer of your AI and LLM ecosystem – from data ingestion and vector stores to agentic frameworks and prompt engineering – ensuring optimal performance, cost efficiency, compliance, and system reliability at scale.
Essentials
AI Observability
End-to-end observability for your Agentic AI and LLM workloads.
OneAgent for GenAI
Monitor and trace your AI workloads and apps automatically with OneAgent.
OpenTelemetry for GenAI
Ingest and analyze OTel GenAI traces & metrics for your AI workloads.
OpenInference
Instrument your AI agents, services and apps with OpenInference.
AI Agents
Get visibility into Agentic AI workloads: trace execution paths, tool invocations, and inter-agent communication. Monitor and debug Agent interactions (function calling, tool-use, RAG), and resolve performance, latency, cost, and reliability issues.
OpenAI Agents
Monitor and trace your OpenAI Agents.
Amazon Bedrock AgentCore
Monitor and trace your Amazon Bedrock AgentCore Agents.
Google ADK
Monitor your Google Agent Development Kit.
LangGraph
Monitor and trace your LangChain Agents.
Pydantic AI
Monitor and trace your Pydantic AI agents.
MCP AI Agent monitoring
Monitoring and tracing of agents communicating via MCP.
Model providers and platforms
Monitor and gain insights into the performance, consumption, latency, availability, response time, and health of the platforms used for pre-trained foundational models, agentic frameworks, and specialized AI APIs for building, training, and deploying machine learning models.
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OpenAI
Monitoring your OpenAI & Azure OpenAI services such as GPT, o1, DALL-E, ChatGPT.
Amazon Bedrock
Observe end-to-end generative AI models provided by Amazon Bedrock.
CrewAI
Monitor CrewAI workloads and AI Agents.
Azure AI Foundry
End-to-end observability for GenAI & LLM applications build with Azure.
Anthropic
Monitor end-to-end your Anthropic services such as Haiku, Sonnet, and Opus.
Gemini
Observe end-to-end multimodal AI models provided by Google Gemini.
AI Coding Agent Monitoring
Monitor coding AI agents with end‑to‑end distributed tracing, cost and performance insights, and full‑stack context, so teams can reduce token spend, resolve agent failures faster, and confidently run AI‑driven code workflows in production.
Claude Code Agent monitoring
Monitor your Claude Code coding agents with OTel.
Gemini CLI Monitoring
End‑to‑end visibility into Gemini CLI usage, tokens, and performance.
OpenAI Codex Monitoring
Visibility into OpenAI Codex CLI usage, tokens, and performance in Dynatrace.
Github Copilot SDK Monitoring
End-to-end insight into Copilot SDK model calls, performance, and token usage.
OpenCode Monitoring
Visibility into OpenCode sessions, LLM calls, tools, and performance.
OpenClaw Monitoring
Monitor OpenClaw agent activity with AI observability in Dynatrace.
Data management and vector stores
Monitor, optimize, and manage data ingestion, preprocessing, and storage for traditional and vector-based workflows.
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Pinecone
Gain insight into your Pinecone vector databases to build knowledgeable AI.
LanceDB
Monitor the performance of your multimodal AI database powered by LanceDB.
Chroma
Gain insights into the health of your vector and embedding databases from Chroma.
Milvus
Gain insights about vector database resource utilization and cache behavior.
Weaviate
Observe your semantic cache efficiency to reduce cost and latency for LLM apps.
Qdrant
Gain insights about your Qdrant semantic vector collections.
Orchestration and Prompt Engineering Frameworks
Automate multi-step LLM workflows, manage prompt chaining, agent-based systems, and retrieval-augmented generation (RAG).
Infrastructure and Compute Resources
Manage and monitor hardware and compute environments for training, fine-tuning, costs, and inference acceleration.
Google Cloud Tensor Processing Units
Observe and monitor your machine learning models built on top of Tensor Units.
TensorFlow Keras
Observe the training progress of TensorFlow Keras AI models.
NVIDIA GPU
Monitor base parameters of the GPU, including load, memory and temperature.
vLLM
Monitor your services built with vLLM's inference and LLM serving solution.
Security, Governance and Traffic Management
Ensure secure, compliant, and well-routed AI traffic with transparent governance and policy enforcement.
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Are you looking for something different?
We have hundreds of apps, extensions, and other technologies to customize your environment
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Deliver secure, safe GenAI apps with Dynatrace
Amazon Bedrock, equipped with Dynatrace Davis® AI and LLM observability, gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails.
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AI and LLM Observability Solution
Leverage best-in-class observability to improve the performance, explainability, and compliance of your Generative AI applications, LLMs, and agents.
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AI Observability Documentation
Documentation