Dynatrace is now taking a major step forward in the development of its observability platform by integrating so-called agentic AI – artificial intelligence that not only analyzes but also acts independently. The aim is to help companies prevent problems, protect systems and data, and optimize resources, completely automated. The new technology represents a major change in how organizations can drive their digital transformation with greater efficiency and adaptability.
Companies are increasingly investing in AI to streamline their software development, but developers still spend up to 80 percent of their time securing, debugging, and optimizing systems in operation. Autonomous AI agents reduce dependency of manual monitoring with AI-powered workflows that free up time for innovation.
– We saw early on that the increasing complexity in digital environments would be a challenge for traditional solutions that require human intervention. That's why we've built a next-generation platform where AI can be fully utilized. By unifying data from surveillance, security and operations in a new data warehouse, we're laying the foundation for AI that can act in real time and make its own decisions, says Bernd Greifeneder, Founder and CTO at Dynatrace.
The technical foundation of Dynatrace consists of several parts that work together for agentic AI:
- Grail – an index- and schema-free data warehouse that provides direct access to large amounts of data in real time, without the need for time-consuming restructuring.
- Smartscape – maps how different components in an IT system affect each other and creates a basis for more accurate analyses and measures.
- Davis AI – combines various AI technologies to provide reliable insights, plan actions and minimize the risk of incorrect conclusions.
- AutomationEngine – performs tasks autonomously and collaborates with both internal and external AI solutions in a safe and controlled manner.
Through these innovations can developers and businesses can more easily manage complex systems, reduce operational disruptions and quickly adapt to changes.
– It's about giving companies the ability to not only react to problems, but to anticipate them and act in advance. With agentic AI we get a platform that drives development forward, from insights to action, with precision, security and responsibility, concludes Bernd Greifeneder.
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