As businesses face rising data volumes and increasingly complex IT infrastructures, Dynatrace is doubling down on a future where software not only monitors itself but also resolves issues before they escalate.
The observability software firm has launched its third-generation platform, which combines analytics, automation, and artificial intelligence to help enterprises move from reactive IT operations to intelligent, autonomous systems. Already in use by thousands of customers, the updated platform promises to transform raw data into immediate, contextual action.
One of its core components is Grail, Dynatrace’s data lakehouse architecture, which merges observability, security, and business datasets. When integrated with the company’s AI engine, Davis, this system allows organisations to detect patterns, automate responses, and accelerate decision-making—turning previously disconnected data streams into coordinated digital behaviour.
“We’re building beyond observability to lay the foundations for true AI-powered autonomy,” said Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace. “This new platform processes data in full context and translates it into real-time operational intelligence.”
Several features introduced in this version are aimed squarely at businesses developing or running large-scale, cloud-native and AI-driven systems:
- Scalable live debugging: Developers can now analyse and visualise serverless and multi-cloud systems through self-service interfaces. A live debugger, capable of supporting thousands of active sessions without compromising application performance, enables teams to troubleshoot issues without leaving their integrated development environments.
- Proactive operations with Agentic AI: Dynatrace has expanded its AI engine to include agentic capabilities, enabling preventative maintenance, automated incident resolution, and cross-team collaboration. Engineers can now receive natural language explanations, suggested fixes, and guided troubleshooting workflows—reducing the time spent on root cause analysis across ITOps, SRE, DevSecOps, and platform teams.
- Rethinking log management: A redesigned Logs app now enables real-time log analysis within the broader observability context. The platform supports petabyte-scale log ingestion, always-on hot storage for up to 10 years, and usage-based pricing. New Kubernetes-native features simplify data collection in containerised environments—eliminating the need for legacy log management systems that rely on complex schemas and storage tiers.
“Data growth and increasing digital complexity mean visibility alone isn’t enough,” said Steve Tack, Chief Product Officer at Dynatrace. “Our aim is to offer intelligence that can be acted on—across all layers of the tech stack—to drive better business outcomes.”
Customers such as Air France-KLM and Canadian telecom provider TELUS are already seeing measurable gains.
Jos Kerssens, SVP of IT Operations & Cloud Transformation at Air France-KLM, said the system’s predictive AI capabilities have sharply reduced operational impact. “We’re confident that any problem that arises can be addressed quickly and efficiently,” he noted.
At TELUS, the integration of Dynatrace with the company’s internal AI initiatives has streamlined operations. “We’ve cut incident resolution times dramatically—going from detection to pull requests in a matter of minutes,” said Kulvir Gahunia, Director of Site Reliability. “We’re now delivering more value with less downtime.”
Beyond its own technology, Dynatrace is working with global consultancies and integrators to extend its reach. Its partnership with DXC Technology—named Dynatrace’s Global Partner of the Year—focuses on helping enterprises fast-track application modernisation efforts and adopt AI-based automation at scale.
“Together, we’re simplifying complexity and driving smarter decision-making for clients worldwide,” said James Taylor, Global General Manager for Enterprise Applications at DXC.
Analysts agree that Dynatrace is moving beyond observability toward operational autonomy. “What’s most striking is the shift from monitoring to action,” said Rob Strechay, Managing Director and Principal Analyst at theCube Research. “By automating workflows and bringing all the data into a unified environment, the platform is enabling a new class of responsive, intelligent operations.”
Dynatrace’s upgraded platform reflects a broader trend: enterprises are no longer satisfied with simply knowing what’s happening inside their digital systems—they want those systems to respond independently and intelligently.
As AI becomes embedded in production environments, tools that turn complexity into clarity will be central to business strategy. In that future, Dynatrace is positioning itself not as a tool provider, but as an enabler of enterprise self-governance.
