Dynatrace unveils AI-powered platform to drive autonomous IT
Dynatrace has announced enhancements to its observability platform, unveiling a suite of new capabilities focused on accelerating the adoption of autonomous intelligence in enterprise operations.
The updated observability platform introduces a range of features aimed at simplifying cloud operations, strengthening IT security, and supporting teams as they manage complex and dynamic digital infrastructures. Thousands of enterprise customers are already working with the new platform to enable data-driven decisions and automated actions across various operational environments.
Redefining observability
The latest enhancements expand observability to encompass not only insights but also automation across information technology, cloud, security, and business functions. Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace, stated, "We are elevating the value of observability and building for the future of AI. The 3rd generation platform has been built to harness a goldmine of observability data in context and turn it into real-time knowledge for AI, creating actionable insights and automation, paving the way for autonomous intelligence."
Central to the 3rd generation platform is Grail, a massively parallel processing data lakehouse. This infrastructure unifies observability, security, and business data, offering AI-driven analytics and automated workflows designed to extract precise business insights from varied telemetry sources. These new capabilities address the prevailing growth of data within cloud-native and distributed systems, making real-time analysis and decision-making more accessible to enterprises.
Development acceleration
The platform includes features designed specifically for developer productivity and cloud-native architectures. Developers can now ingest and analyse data from cloud and serverless environments via self-service access. Enhanced data visualisation options have also been introduced, alongside a live debugger that supports thousands of developer sessions simultaneously with privacy protections. The Dynatrace MCP server further allows integration of real-time observability data directly into AI-assisted development workflows, enabling prompt issue resolution and bolstering security directly within development environments.
Operational automation
Dynatrace has expanded the Davis AI capabilities for preventive operations, now including agentic AI for automated root cause analysis and remediation across scenarios involving multiple teams. The suite features guided troubleshooting, interactive recommendations, and natural language capabilities for summarising and explaining incidents, aiming to minimise manual interventions. Davis CoPilot provides teams with a natural language interface to conduct advanced analytics, develop workflows, and create dashboards, enhancing collaboration between ITOps, SRE, DevSecOps, and development teams.
Log management improvements
The company has also released upgrades to its log management systems. Businesses can analyse logs in real time and in context with other observability data through enhancements to the Dynatrace Logs app and Davis CoPilot. New flexible pricing models have been introduced, including both retention and usage-based options, and the platform now supports hot storage for up to ten years. Organisations can manage log data at petabyte-per-day scale, with simplified, secure log collection for Kubernetes environments, reducing the overhead commonly associated with legacy log management solutions.
Steve Tack, Chief Product Officer at Dynatrace, commented, "With the volume of data worldwide expected to double over the next three years, plus increasingly dynamic and complex digital ecosystems and the rise of AI, businesses need solutions that do more than provide visibility. Our newest capabilities are designed to drive proactive, intelligent automation that help entire teams across an organisation connect the dots to better understand their digital systems and continuously improve business outcomes."
Customer feedback
"The AI and predictive capabilities from Dynatrace were a differentiator," said Jos Kerssens, Senior Vice President, IT Operations & Cloud Transformation at Air France-KLM. "We're confident that any problem that arises can be dealt with quickly, dramatically reducing operational and revenue impact."
Kulvir Gahunia, Director, Site Reliability Office at TELUS, said, "At TELUS, AI is fundamental to our digital transformation strategy, and our partnership with Dynatrace has been valuable in enhancing our capabilities. By combining our Agentic AI initiatives with Dynatrace's AI Observability capabilities, we've successfully optimised our development and operations workflows. This collaboration has enabled us to streamline incident resolution to minutes, from detection to pull requests. Through this integration of AI technologies, we're driving innovation and delivering measurable business impact while reducing downtime."
Partner ecosystem
Dynatrace's partner network includes collaborations with industry service providers to further extend the platform's reach. James Taylor, Global General Manager, Enterprise Applications at DXC Technology, said, "By combining DXC's enterprise transformation expertise with Dynatrace's next-generation observability platform, we empower the world's leading brands to accelerate application modernisation and harness the full power of AI-driven insights. As Dynatrace's Global Partner of the Year, DXC is proud to lead the way in simplifying complexity, driving innovation, and enabling smarter, faster decision-making at scale."
Industry perspective
Industry analysts have also recognised the new platform's impact. Rob Strechay, Managing Director & Principal Analyst Cloud Native, Data Platforms, Infrastructure at theCube Research, remarked, "Dynatrace 3rd generation observability platform represents a significant leap forward in managing the complexity of modern, cloud-native and AI-driven environments. By unifying data and automating workflows with advanced AI capabilities, Dynatrace empowers enterprises to not only address operational challenges but also enable autonomous operations at scale. This approach is redefining how organisations turn complexity into clarity, unlocking new opportunities for innovation and driving measurable business outcomes."
