Dynatrace announced extended capabilities for the observability of customers’ GenAI initiatives.
These advancements provide teams with access to comprehensive insights into their AI applications to drive reliability, performance, security and compliance. With this visibility, organizations now have clarity into their AI initiatives and can understand their return on investment (ROI).
Dynatrace is introducing a series of platform advancements, including:
- Enhanced LLM Model Analytics: In addition to monitoring standard KPIs such as input and output errors, response times, and token consumption, the predictive capabilities of Dynatrace Davis AI® detect changes in usage behavior to predict and forecast cost changes associated with LLM usage. This helps teams understand model performance and optimization opportunities, including how they can better manage costs and control ROI.
- LLM Input and Output Guardrails: Dynatrace safeguards the quality of AI application input and output to help build trust in AI. This enables customers to recognize model hallucinations, identify attempts at LLM misuse such as malicious prompt injection, prevent Personally Identifiable Information (PII) leakage, and detect toxic language.
- Multi-model Tracing: Dynatrace maps dependencies between multiple LLMs that work in concert with Retrieval Augmented Generation (RAG) pipelines or agentic frameworks to provide end-to-end observability of the entire system, not just the component parts. This gives teams the insight to verify that dependencies are interacting seamlessly so they can deliver optimal end-user experiences.
- Responsible AI Integrations: Dynatrace helps organizations with AI governance by tracking every input and output without sampling to provide an audit trail of monitoring and observability, including documenting what training data was used for a given model. Through Dynatrace Grail™, all data can be queried in real time and stored for future reference.
“We see a large portion of our global customer base moving their AI applications into production. AI Observability is key for ROI, governance, and explainability,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “Dynatrace delivers AI-powered observability with real-time insights which enables data and systems to work together effortlessly. At Perform 2025, we’re excited to showcase how we’re leveraging these capabilities to power new possibilities for our customers, highlighting the transformative innovation they’re driving through the ability to effectively understand and optimize their AI deployments.”
Dynatrace supports customers now with its Observability for AI solutions.
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