With over a decade of leadership in AI, Dynatrace provides customers with unparalleled insight into their AI-native applications to increase reliability, cost-effectiveness, and compliance. 
THE Dynatrace SAN FRANCISCO, Calif., March 25, 2020 (GLOBE NEWSWIRE) -- Today, Microsoft Corp. announced expanded capabilities for observability of customers’ Generative Artificial Intelligence (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).
IDC predicts that global spending on AI-enabled technologies will surpass $1.4T749 billion by 2028 [1]. Investing in this technology is essential for companies looking to gain a competitive advantage. Equally important is the ability to monitor these technologies to help ensure they are implemented optimally and securely, deliver business value, and operate at higher levels of automation.
Dynatrace is empowering its enterprise customers to achieve this goal through a series of industry-first platform advancements, including:
– Enhanced LLM Analysis: In addition to monitoring KPIs (Key Performance Indicators) standard, such as input errors (input) and output (output), response times, and token consumption, Dynatrace Davis AI® predictive capabilities detect changes in usage behavior to predict cost changes associated with the use of Large Language Models (Large Language Models – LLM). This helps teams understand model performance and optimization opportunities, including how they can better manage costs and track ROI.
– LLM Input and Output Protections: Dynatrace protects the quality of input and output from AI applications to help build trust in the technology. This enables customers to recognize model hallucinations, identify attempts to misuse LLM such as malicious prompt injection, prevent the leakage of personally identifiable information (PII), and detect toxic language.
– Multi-model tracking: Dynatrace maps dependencies between multiple LLMs working together with Augmented Recovery Generation pipelines (Retrieval Augmented Generation – RAG) or agentic frameworks to provide end-to-end observability of the entire system, not just its component parts. This provides teams with insights 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 unsampled input and output to provide an audit trail of monitoring and observability, including documentation of 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.
Customer Value of AI Observability
“A growing number of mid-sized businesses and merchants are leveraging AI to power their end-to-end payment strategy. At FreedomPay, our challenge is to support merchants looking to seamlessly connect payment systems backend “We are committed to providing a world-class solution for our customers across customer-facing channels,” said Chris Kronenthal, President of FreedomPay. “Dynatrace enables FreedomPay to leverage advanced analytics and intelligence to solve complex data problems for our customers. This is necessary to deliver a world-class solution to improve compliance, security and overall costs.”
Learning from industry experts
According to Stephen Elliot, IDC Group Vice President, I&O and Cloud Operations, “AI represents a transformative shift for technology and business. Data observability and LLM are essential requirements for building and deploying reliable, trustworthy, and cost-effective AI solutions. These capabilities provide insights “Technology leaders benefit from monitoring the quality of their data in real time. They gain visibility and detection of anomalies, inconsistencies, and drift to help ensure that the data used to train and run models is accurate, complete, and representative of the real world. This should be part of a broader observability strategy to provide a robust and reliable platform that empowers organizations to prevent and resolve issues like hallucinations, drift, and performance degradation.”
Dynatrace's vision
“We see a large portion of our global customer base moving their AI applications into production. AI observability is critical for ROI, governance, and explainability,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “Dynatrace delivers AI-based observability with insights in real time, enabling data and systems to work together effortlessly. At Perform 2025, we will showcase how we leverage these capabilities to unlock new possibilities for our customers, highlighting the transformative innovation they are driving through the ability to effectively understand and optimize their AI deployments.”
Dynatrace supports customers today with its solutions observability for AI. To register to participate virtually in Perform, visit event page.
To learn more about the current list of technologies and integrations supported by Dynatrace AI Observability and LLM, visit Dynatrace website.
[1]Source: IDC, IDC Unveils 2025 FutureScape: Worldwide IT Industry Predictions, 20 October 2024
Regarding the Dynatrace
THE Dynatrace exists to make all software work perfectly. Our end-to-end platform combines deep, broad observability and continuous runtime application security with Davis® Hypermodal AI to provide answers and intelligent automation from data at scale. That’s what enables teams to modernize and automate cloud operations, deliver software securely and quickly, and ensure unparalleled digital experiences. And that’s why leading enterprises trust the Dynatrace® platform to accelerate their digital transformation. Want to simplify cloud and increase the impact of your teams? Access and make an enquiry 15-day free trial.
Notice Regarding Forward-Looking Statements
This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements about the capabilities of Dynatrace and the expected benefits to organizations from using Dynatrace and AI. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on information currently available to us and assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects, as reflected in or suggested by these forward-looking statements, are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be realized or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors beyond our control, including the risks described under the heading “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q and other documents filed with the SEC. We undertake no obligation to update any forward-looking statement contained in this document as a result of new information, future events or otherwise.
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