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AI and LLM Observability

Leverage best-in-class observability to improve the performance, explainability, and compliance of your Generative AI applications, LLMs, and agents.

Seamless integration across the full AI application stack

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Full-stack observability for your LLMs and Generative AI applications

Reduce the cost and improve the performance of your AI and LLM stack

  • Monitor operational metrics for Gen AI applications like token cost, request duration, and problems with unified and customizable dashboards that drive proactive action
  • Leverage Davis® AI to detect changes in user behavior, predict cost increases and proactively make changes to manage costs
  • Reduce model response times and improve reliability by analyzing traces for the slowest requests and errors
  • Trigger automated workflows based on predefined thresholds, unexpected behaviors, or deviations from expected patterns
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Build trust in LLM inputs and outputs

  • Safeguard the quality of AI applications by monitoring and analyzing guardrail metrics to mitigate potential biases, errors, and misuse of AI systems
  • Recognize model hallucinations, identify attempts at LLM misuse such as malicious prompt injection, prevent Personally Identifiable Information (PII) leakage, and detect toxic language
  • Analyze the effectiveness of LLM guardrails and make necessary adjustments to ensure optimal user experience and safety
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Explain and trace back your AI-powered application outputs

  • Gain full visibility into the execution of each user request with end-to-end traces that cover the full application stack, including orchestration, semantic cache, and LLM model layers
  • Trace and map dependencies with end-to-end observability of the entire system spanning multiple LLMs, RAG pipelines, and/or agentic frameworks, ensuring seamless interactions and optimal user experiences
  • Leverage Davis® AI to automatically pinpoint the root cause of errors and failures in the LLM chain and proactively accelerate resolution before impacting customers
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Reduce compliance risk for your Generative AI application

  • Comprehensively and cost effectively document all inputs and outputs, maintaining full data lineage from prompt to response to build a clear audit trail to ensure compliance with regulatory standards
  • Build dashboards to visualize the behavior and performance of AI systems to make their operation more transparent and prove compliance
  • Support carbon-reduction initiatives by monitoring infrastructure data, including temperature, memory utilization, and process usage

Join the Dynatrace Partnership program

Does your organization create AI solutions? Get in touch with us to get certified as an AI Observability Ready partner.
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As customer zero for our AI Observability solution, we have helped our Davis Copilot teams achieve 30% faster response times, reduced costs paid to LLM providers, optimized use of scarce AI infrastructure, and proactively detect incidents before they impacted users