Dynatrace's 3rd Gen Platform: Paving the Way to Autonomous Intelligence

(L-R) - Steve Tack, Chief Product Officer at Dynatrace and Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace

Dynatrace (NYSE: DT), a leader in AI-powered observability, has unveiled major enhancements to its third-generation platform, signalling a bold leap toward autonomous intelligence. By integrating advanced analytics, artificial intelligence, and automation, Dynatrace is transforming the way enterprises interact with data. Its transformative capabilities empower organizations to turn streams of information into actionable insights and, ultimately, into intelligent automated responses. Thousands of enterprises are already reaping the benefits of this innovative platform, marking a milestone in data-driven decision-making.

New Vision for Observability in Complex Environments

The reengineered Dynatrace platform moves beyond traditional observability by embedding automation deep into IT, cloud, security, and business operations. In today’s vast and intricate enterprise ecosystems, static monitoring no longer suffices. Dynatrace’s platform addresses the growing complexity by delivering dynamic insights that translate directly into action, reducing manual intervention and enabling self-healing systems.

“We are elevating the value of observability and building for the future of AI,” said Bernd Greifeneder, Founder and Chief Technology Officer at Dynatrace. “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.”

Grail: The Data Lakehouse Powering Unified Intelligence

At the heart of Dynatrace’s third-generation platform is Grail, a high-performance data lakehouse designed to process massive data volumes in parallel. Grail brings together observability, security, and business telemetry into a single unified architecture. This seamless integration, coupled with Dynatrace’s AI-driven analytics and automation engine, allows organizations to extract deep business intelligence from data while automating response mechanisms across the enterprise.

Optimizing Hybrid and Multicloud Performance

The latest platform advancements are tailored to meet the demands of hybrid and multicloud environments, where stability and agility are paramount. Dynatrace now provides even greater support for managing complex cloud-native infrastructure. This includes streamlined deployment, broader interoperability, and precision diagnostics to ensure organizations can achieve business outcomes faster and with measurable impact.

Enabling AI-First Development at Scale

Developers working within serverless or cloud-native architectures now have self-service access to telemetry ingestion and analysis. Dynatrace simplifies cloud data visualizations and introduces a revolutionary live debugging feature capable of supporting thousands of developer sessions simultaneously. Each session benefits from privacy-preserving non-breaking breakpoints, enabling real-time diagnostics at scale without disrupting operations.

In addition, the introduction of the Dynatrace MCP server connects live observability data directly to AI-driven development tools. Developers can now design, secure, and troubleshoot applications more efficiently, all within their preferred integrated development environment (IDE).

Preventive Operations Through Agentic AI

Dynatrace has extended its Davis AI to encompass agentic AI capabilities that drive preventive operations and automated remediation. These enhancements allow the platform to anticipate system degradation and resolve potential issues before they escalate. With interactive recommendations, guided troubleshooting, and natural language “explain and summarize” tools, teams across IT operations, DevSecOps, and platform engineering can collaborate more efficiently and proactively.

Furthermore, Davis CoPilot empowers users to interface with complex data sets using everyday language. Teams can generate analytics, workflows, and custom dashboards more quickly, enabling faster response times and smarter automation across departments.

Redefining Enterprise-Grade Log Management

Dynatrace has also introduced a groundbreaking log management experience. By allowing instant log analysis in context with broader observability data, organizations can uncover hidden insights and reduce time to resolution. The platform now supports flexible pricing models, including both usage-based and retention-based options, and introduces persistent “hot/hot” storage with retention periods extending up to a decade.

With petabyte-scale ingestion and simplified Kubernetes log collection, Dynatrace eliminates the complexity of legacy log management systems. Gone are the days of fragmented storage tiers, rigid schema definitions, and data silos. Instead, enterprises gain a unified, scalable, and secure logging solution purpose-built for modern cloud environments.

“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,” said Steve Tack, Chief Product Officer at Dynatrace. “Our newest capabilities are designed to drive proactive, intelligent automation that help entire teams across an organization connect the dots to better understand their digital systems and continuously improve business outcomes.”

By integrating AI-powered systems with advanced automation, Dynatrace is helping customers turn data into action, driving outcomes that matter.

“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.”

“At TELUS, AI is fundamental to our digital transformation strategy, and our partnership with Dynatrace has been valuable in enhancing our capabilities,” said Kulvir Gahunia, Director, Site Reliability Office at TELUS. “By combining our Agentic AI initiatives with Dynatrace's AI Observability capabilities, we've successfully optimized 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.”

Strengthening Industry Alliances for Broader Impact

To extend the reach of its platform, Dynatrace continues to forge strategic alliances with global technology leaders. Its partnership with DXC Technology exemplifies how these collaborations deliver tailored observability solutions to customers worldwide. Together, they accelerate digital transformation, promote operational excellence, and redefine what’s possible in enterprise performance management.

“By combining DXC’s enterprise transformation expertise with Dynatrace’s next-generation observability platform, we empower the world’s leading brands to accelerate application modernization and harness the full power of AI-driven insights,” said James Taylor, Global General Manager, Enterprise Applications at DXC Technology. “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.”

"Dynatrace 3rd generation observability platform represents a significant leap forward in managing the complexity of modern, cloud-native and AI-driven environments,” Rob Strechay, Managing Director & Principal Analyst Cloud Native, Data Platforms, Infrastructure, theCube Research. “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 organizations turn complexity into clarity, unlocking new opportunities for innovation and driving measurable business outcomes.”