Dynatrace 3rd-generation platform: Built for the world of Autonomous Intelligence

The world has become software-defined, distributed, and complex, creating a widening gap between digital complexity and our ability to manage and govern the systems that run businesses and organizations. To close this gap, we reimagine how observability works. It is no longer enough to collect and analyze telemetry after the fact. Organizations need trusted, intelligent systems that turn real-time data into reliable knowledge, apply advanced AI to reason through that knowledge, and take action to optimize outcomes at every level of the business.

This is the foundation of the Dynatrace 3rd-generation platform. We’ve spent the past two decades shaping the observability market. Today, we are transforming it from a rear-view mirror into a real-time control system for the modern enterprise. Thousands of organizations are already using Dynatrace 3rd generation to turn data into decisions and decisions into action. The result is faster innovation and stronger business results across every layer of the business.

A new model built on knowledge, reasoning, and actioning

Dynatrace 3rd generation introduces a new standard for observability and automation based on three foundational capabilities:

• Knowledge: The Dynatrace platform turns petabytes of real-time data into a continuously updated, queryable knowledge graph. Powered by Grail and Smartscape, it provides trustworthy, fact-based insights with real-time context across dynamic environments.
• Reasoning: Causal, predictive, and generative AI models work together to derive intelligent decisions. These models are context-aware, transparent, and built for enterprise-grade safety and compliance.
• Actioning: Dynatrace enables users to define goals and let intelligent automation determine the best path forward, through innovations like AutomationEngine, AppEngine, and OpenFeature. This shifts operations from reactive remediation to preventive operations and continuous improvement.

Together, these capabilities form the foundation for autonomous intelligence. Dynatrace doesn’t just provide visibility; it enables systems to understand and act. By continuously converting real-time data into trustworthy insights, applying AI to reason through business and technical context, and triggering intelligent, goal-based actions, Dynatrace transforms observability into a real-time engine for automation and impact.

This is not about removing humans from the loop. It’s about empowering teams to define outcomes and rely on the system to carry out the best path forward. As with any leadership decision, autonomy depends on the quality of information and confidence in its context. The same principle applies to AI systems. Dynatrace 3rd generation gives organizations confidence, allowing them to scale decision-making with speed and trust.

Trusted knowledge, not just data

Legacy observability platforms focus on collecting telemetry data. But to support real-time decisions, teams need a trusted knowledge foundation. Dynatrace eliminates silos between metrics, traces, logs, events, user sessions, and security signals by unifying them in Grail, our schema-on-read, massively parallel data lakehouse.

For the first time, users can run any query at any time, with Grail supporting dramatically higher concurrency than traditional observability platforms. There’s no cold storage, no indexing, and no need for rehydration. This unlocks a goldmine of observability data and turns it into reliable, real-time answers.

That data is then contextualized in real time by Smartscape, our dynamic topology engine, and made instantly accessible to AI agents. The result is not just visibility, but deep, evolving system knowledge, providing machine-speed decisions no other platform can match.

AI that reasons with real-time context

Dynatrace has long set the standard for causal AI in observability. With the 3rd generation platform, we expand that foundation by combining causal AI with predictive and generative models. These AI types work together to support decisions at machine speed, with full context. Whether it’s automatically identifying the root cause of a service degradation, forecasting capacity needs, or evaluating how to improve online customer experiences, Dynatrace AI operates with the reliability and transparency required in enterprise environments.

Now, organizations can pursue modernization, transformation, and agentic AI initiatives with greater confidence. Dynatrace helps make AI accessible and actionable by reducing friction, delivering answers precisely when and where they are needed. Davis CoPilot enables natural language queries, workflow generation, and seamless integration into IDEs. It provides intelligent assistance at every step and supports a broad range of use cases across observability, security, and business operations with explainability, precision, and trust.

Automation that adapts to your goals

Traditional automation is limited by what is explicitly scripted. Dynatrace has taken a different approach. With the 3rd generation platform, you define high-level goals, and the platform determines the best way to achieve them. By grounding automation in real-time, high-quality data and precise causal analytics, Dynatrace ensures that actions are driven by accurate understanding, not assumptions.

This goal-based automation can resolve incidents, optimize performance, reduce cost, and even generate pull requests that improve code quality.

For example, preventive cloud operations allow site reliability engineers to move from firefighting to strategic orchestration. Instead of chasing alerts, SREs can focus on managing service-level objectives and improving business outcomes. Dynatrace handles the rest.

Built for the future of cloud and AI

The complexity of cloud-native architectures, Kubernetes deployments, and emerging agentic AI models are already testing the limits of traditional observability. Dynatrace 3rd generation is designed for the future.

By unifying telemetry, security data, and business context into a single real-time graph powered by Grail, Dynatrace provides the AI-powered intelligence required to operate modern systems with confidence. And by embedding automation throughout the platform, teams can scale faster than headcount, without sacrificing control or trust.

Turning observability into intelligent action

Organizations like TELUS and Air France-KLM are already seeing results: faster resolution, improved resiliency, and reduced downtime.

“By combining our Agentic AI initiatives with Dynatrace’s AI Observability capabilities, we’ve successfully optimized our development and operations workflows. We’re driving innovation and delivering measurable business impact while reducing downtime.”

– TELUS

“The AI and predictive capabilities from Dynatrace were a differentiator. We’re confident that any problem that arises can be dealt with quickly, dramatically reducing operational and revenue impact.”

– Air France-KLM

The combined impact of agentic AI initiatives and AI-powered observability extends beyond IT. These outcomes drive business performance, from greater availability and productivity to better customer experiences.

What this means for your organization

The Dynatrace 3rd-generation platform defines the path forward to a future where software can understand, reason, and act. It helps your organization move from reactive to proactive, from fragmented tools to unified intelligence, and from scripted automation to AI-driven operations.

Whether you are focused on cloud modernization, application security, cost optimization, or AI governance, Dynatrace provides a foundation to build and scale with confidence.

This is the evolution of observability. One built on context, driven by reasoning, and capable of taking action.