Dynatrace, the leading AI-powered observability platform, is introducing significant advancements to its 3rd generation platform, enabling customers to unlock greater value of its capabilities with reimagined observability that combines the power of analytics, AI, and automation to drive progress toward autonomous intelligence.
According to the company, Dynatrace addresses the demands of large, dynamic, and complex business environments by redefining observability to extend beyond insights to drive automations across IT, cloud, security, and business operations.
“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.”
At the core of the Dynatrace 3rd generation platform is Grail, a massively parallel processing data lakehouse that unifies observability, security, and business data.
Combined with Dynatrace AI-driven analytics and automation, enterprises transform telemetry into precise business insights and intelligent, automated actions across the organization, the company said.
The new capabilities on the Dynatrace observability platform prioritize seamless operations across hybrid and multi-cloud environments to drive measurable business outcomes. Key recent advancements include:
- Cloud-native and AI-native acceleration for development: Developers can easily ingest and analyze data from serverless and cloud architectures through self-service access. The Dynatrace MCP server enables developers to bring real-time observability data directly into their AI-assisted development workflows to better inform designs, bolster security posture, or debug issues without leaving their IDE.
- Preventive operations powered by agentic AI: Davis AI automated root cause analysis and remediation is extended to include agentic AI capabilities for preventive operations and auto-remediation in complex scenarios involving multiple teams. Davis CoPilot enables practitioners to use a natural language interface to accelerate advanced analytics, easily create workflows or dashboards, and integrate with other technologies and solutions.
- Transformative Log Management Experience: Dynatrace extends its unique capabilities to analyze all logs instantly—in context of other observability data—through enhancements to the Logs app and through Davis CoPilot engagement and explanations, unlocking insights and answers previously hidden in their data. Dynatrace introduces flexible pricing options, with both retention-and usage-based models, and always-on hot/hot storage with up to 10 years of retention. Dynatrace achieves petabyte-per-day scale ingest and management, so businesses can now manage logs from across the enterprise at scale with simple, automatic context parsing. New, secure Kubernetes log collection simplifies setup for cloud native environments without the overhead and toil of legacy competitive solutions with complex telemetry silos, storage tiers, indexes, and schema definitions.
“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 helps 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 company said.
For more information about this news, visit www.dynatrace.com.