Dynatrace is taking a major step forward in observability by introducing agentic AI—artificial intelligence that not only analyzes but also acts autonomously. The goal is to help organizations prevent incidents, protect systems and data, and optimize resources automatically. This technology marks an important shift in how businesses can accelerate digital transformation with greater efficiency and adaptability.
Companies are increasingly investing in AI to speed up software development, yet developers still spend up to 80 percent of their time securing, debugging, and optimizing systems in production. Autonomous AI agents reduce reliance on manual monitoring by powering AI-driven workflows that free teams to focus on innovation.
“We recognized early on that growing complexity in digital environments would overwhelm traditional tools that require human intervention. That’s why we built the next-generation platform that enables AI to be used end to end. By unifying monitoring, security, and business data in a new data layer, we create the foundation for AI that can act in real time and make independent decisions,” says Bernd Greifeneder, founder and CTO of Dynatrace.
The technical foundation of Dynatrace is composed of several integrated components that enable agentic AI:
- Grail – a schema- and index-free data lake that provides immediate access to large volumes of data in real time without time-consuming restructuring.
- Smartscape – maps how components in an IT environment affect one another, providing context for more accurate analysis and action.
- Davis AI – combines multiple AI techniques to deliver reliable insights, plan responses, and reduce the risk of incorrect conclusions.
- AutomationEngine – autonomously carries out tasks and interoperates with both native and external AI solutions in a secure, controlled manner.
Together, these innovations make it easier for developers and operations teams to manage complex systems, reduce downtime, and adapt quickly to change.
“This is about enabling organizations not just to respond to incidents but to anticipate and act proactively. With agentic AI, we deliver a platform that moves from insight to action with precision, security, and accountability,” concludes Bernd Greifeneder.