Dynatrace Perform 2026 Ignites a New Era of Autonomous Intelligence and Innovation

Key Terms

agentic ai technical

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

observability technical

Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.

data lakehouse technical

A data lakehouse is a modern data platform that combines the large, inexpensive storage of a 'data lake' for raw information with the structured, query-ready features of a 'data warehouse,' so businesses can store everything and analyze it faster. For investors, it matters because it can lower data costs, speed up insight generation and reporting, and support better, timelier decisions about performance, risk and strategy—like having a single library that holds both raw manuscripts and an instant searchable catalog.

real user monitoring technical

Real user monitoring is a method of tracking how actual customers interact with a website or app by measuring load times, errors, clicks and navigation paths as they happen. Think of it as watching shoppers move through a store to see where they slow down or get stuck; for investors it reveals product quality, customer experience and potential revenue risk, and helps assess operational health and technology execution.

telemetry technical

Telemetry is the automatic collection and transmission of measurements from remote devices, systems, or patients to a central system for monitoring and analysis—like a car sending engine, speed and location data back to a dashboard. For investors it matters because telemetry provides real-time evidence of product performance, safety and user behavior, helping assess revenue potential, operational risk, regulatory compliance and whether a product is meeting market demand.

multi-cloud technical

Multi-cloud is the practice of using services from two or more cloud computing providers instead of relying on just one. For investors, this matters because it can lower operational risk and increase flexibility—similar to renting units from different landlords to avoid being stranded if one has problems—and it can affect a company’s costs, growth potential, and resilience, which in turn influence revenue stability and valuation.

large language models (llms) technical

Large language models (LLMs) are advanced computer programs trained on massive amounts of text to generate, summarize, translate and understand human-like language. For investors they matter because LLMs can act like a very fast, experienced research assistant—automating customer service, speeding product development and cutting costs—while also creating new revenue opportunities and regulatory, accuracy and ethical risks that can affect a company’s profits and reputation.

Event highlights advancements across the Dynatrace platform, and visionary organizations driving transformation through intelligent observability and agentic AI

LAS VEGAS--(BUSINESS WIRE)-- At Perform, its flagship annual user conference, Dynatrace (NYSE: DT), the leading AI-powered observability platform, announced a series of differentiated product enhancements and showcased the notable achievements of customers.

Dynatrace CEO Rick McConnell, CTO Bernd Greifeneder, and Dynatrace product leaders will assemble in a leadership keynote at 9:00 a.m. PT on Wednesday, January 28 to explore these platform innovations and discuss how enterprises can harness data to advance critical AI initiatives and operate with greater speed and confidence. To register to tune in virtually, visit the registration page.

Innovation announcements launched during Perform include:

Dynatrace debuts Dynatrace Intelligence
Fusing deterministic and agentic AI for reliable outcomes, Dynatrace Intelligence represents the next phase in the evolution of the Dynatrace platform.

Dynatrace Intelligence combines deterministic intelligence grounded in real-time causal context, with agentic AI that can safely reason, decide, and act within defined guardrails. Data is stored and unified in Grail™, and continuously and automatically enriched by Smartscape’s causal topology, fuelling deterministic AI to produce trustworthy, explainable insights.

Dynatrace Intelligence Agents turn action into insight
Built on the industry’s first agentic operations system, Dynatrace Intelligence, Dynatrace Intelligence Agents transform answers to outcomes by taking action across workflows with speed, precision, and governance. These agents have been designed to drive closed-loop autonomous outcomes across IT and business operations.

Dynatrace Intelligence Agents introduce an intuitive model for agentic operations, with customers able to use specialized agents that work together across responsibilities and domains.

Expanded cloud operations capabilities unveiled
New cloud-native integrations from Dynatrace, will give enterprises a clearer, unified view across multi-cloud environments thanks to expanded cloud-native integrations across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

The capabilities will bring visibility into one place, helping teams find and fix issues faster and reduce disruption for end users. Powered by the uniqueness of Grail ™, an industry leading unified data lakehouse, Smartscape real-time dependency graph, and Dynatrace Intelligence, this combination will apply AI to help organizations understand, automate, and operate through this growing complexity.

Enhanced developer experiences launched
Dynatrace also unveiled new capabilities to transform observability into an active system of control for cloud and AI-native software delivery. With these enhancements, enterprises can evolve observability into a dynamic driver of developer productivity, moving beyond insight alone to an intelligent system that actively guides, optimizes, and protects software delivery in real time.

The innovations announced unify frontend, backend, AI telemetry, database, cloud, and mobile into a single developer-facing experience built on Grail™, Smartscape, and Dynatrace Intelligence. This production-first, AI-native foundation – built for agentic and LLM-driven applications – enables both humans and AI agents to reason about live system behavior, safely experiment in production, and take immediate, targeted action when risk is detected, without redeployments or manual intervention.

Cross industry Customer Success Spotlighted
Dynatrace spotlighted customers showcasing how they are fuelling business growth with Dynatrace AI Observability.

With the Dynatrace platform as the control plane for AI in production, enterprises have the visibility and governance they need as they adopt agentic AI at scale. This evolution is helping customers manage complexity, ensure compliance, and optimize performance across emerging technologies, with various use cases explored that included Canadian telecoms giant, TELUS.

Advanced Real User Monitoring availability
Dynatrace also announced the launch of next-generation Real User Monitoring (RUM) capabilities, combining front-end telemetry with back-end context, to empower teams to better understand and optimize user experience.

As organizations move toward dynamic, cloud-native ecosystems and build AI-driven applications powered by large language models (LLMs) and other advanced AI services, traditional RUM tools are hitting limitations. Powered by Grail™, Smartscape, and advanced AI, users of Dynatrace can now analyze frontend data alongside logs, metrics, traces, and business events, all within a single platform, enabling precise, end-to-end visibility, faster troubleshooting, and smarter decision-making.

Resources:

• To register to tune into Perform 2026 virtually, visit the registration page.
• To learn more about Perform 2026 announcements, visit the Dynatrace newsroom.
• Dynatrace introduces a new foundation for agentic AI at Perform 2026
• Dynatrace Intelligence at the core of autonomous operations
• Dynatrace MCP Server: Empower your AI assistants to interact with Dynatrace and access live production insights
• Fuel Bedrock agents with observability data via the Dynatrace MCP Server
• Dynatrace Assist: Ask, analyze, and act with Dynatrace Intelligence
• The new Smartscape: Move faster and make better decisions with a real-time dependency graph of all your digital systems
• Unprecedented insights into frontend user experience with Dynatrace Real User Monitoring

About Dynatrace
Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.

Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.

Dynatrace, the Dynatrace logo, Grail, and Smartscape are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners.

Cautionary Language Concerning 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 regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features, or functionality are expected to be generally available. 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 the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained 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 that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260128134927/en/

Investor Contact:

Noelle Faris

VP, Investor Relations

Noelle.Faris@dynatrace.com



Media Relations:

Dynatrace PR Team

pr-team@dynatrace.com

Source: Dynatrace