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Dynatrace Adds Agentic AI Capabilities

Dynatrace is extending the Dynatrace platform with agentic AI capabilities. 

Designed to predict and prevent disruptions, protect systems and data, and optimize operations autonomously, these advancements mark a new era of productivity and agility, fundamentally redefining how businesses manage digital transformation.

Dynatrace leverages agentic AI to enabling enterprises to transition from manual oversight to autonomous, AI-driven workflows that streamline operations and foster innovation.

“We anticipated the growing complexity of digital systems outpacing the capabilities of traditional observability solutions reliant on human intervention,” said Bernd Greifeneder, Founder and CTO, Dynatrace. “This is why we built the next generation of our platform to help customers leverage advanced AI to offload work and unlock entirely new possibilities. By unifying observability, security, and business data in a revolutionary data lakehouse architecture, we’ve created the foundation for AI to deliver real-time insights and act autonomously in ways that were unimaginable a few years ago.”

The core of Dynatrace is a purpose-built foundation for agentic AI, seamlessly unifying observability, security, and business data in a schema-free, indexless data lakehouse. This foundation empowers intelligent decision-making and autonomous action, enabling enterprises to transition from human oversight to intelligent, self-operating systems. Together, the platform serves as the knowledge, reasoning, planning, and actioning framework of agentic AI, delivering trustworthy precision and adaptability.

  • Grail, an indexless, schema-free data lakehouse, hot/hot by design, provides real-time access to petabytes of data in context, eliminating the inefficiencies of re-indexing and rehydration, to address the complexity and scale of agentic AI systems.
  • Smartscape, a dynamic, real-time topology discovery, maps causal dependencies across complex digital ecosystems, enhancing the platform’s ability to deliver precise insights and automation, fueling Dynatrace AI for fact-based reasoning.
  • Davis AI combines causal, predictive, and generative AI techniques to analyze unified data, deliver trustworthy insights, and intelligently plan actions to minimize hallucinations, maximize precision in insights and answers, and adhere to responsible AI practices and compliance requirements.
  • AutomationEngine executes autonomous tasks and integrates seamlessly with first-party and third-party AI agents, driving differentiated efficiency and adaptability, all in a safe and privacy-protected manner for controlled agentic AI actions.

Through sustained innovation, Dynatrace provides the intelligence and autonomy developers, business leaders, and organizations need to tackle digital complexity and achieve extraordinary outcomes.

“These innovations provide the transparency, automation, and agility enterprises need to stay ahead in a rapidly evolving technology landscape,” Greifeneder added. “The result is a platform capable of autonomously preventing potential issues, optimizing resource use, and adapting to unforeseen challenges. Agentic AI represents a fundamental transformation in enterprise technology. Our platform not only delivers insights but actively enables businesses to anticipate challenges, adapt to changing conditions, and achieve their boldest ambitions. This evolution embodies our long-standing vision to empower organizations through trustworthy automation and actionable intelligence.”

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The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

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Dynatrace Adds Agentic AI Capabilities

Dynatrace is extending the Dynatrace platform with agentic AI capabilities. 

Designed to predict and prevent disruptions, protect systems and data, and optimize operations autonomously, these advancements mark a new era of productivity and agility, fundamentally redefining how businesses manage digital transformation.

Dynatrace leverages agentic AI to enabling enterprises to transition from manual oversight to autonomous, AI-driven workflows that streamline operations and foster innovation.

“We anticipated the growing complexity of digital systems outpacing the capabilities of traditional observability solutions reliant on human intervention,” said Bernd Greifeneder, Founder and CTO, Dynatrace. “This is why we built the next generation of our platform to help customers leverage advanced AI to offload work and unlock entirely new possibilities. By unifying observability, security, and business data in a revolutionary data lakehouse architecture, we’ve created the foundation for AI to deliver real-time insights and act autonomously in ways that were unimaginable a few years ago.”

The core of Dynatrace is a purpose-built foundation for agentic AI, seamlessly unifying observability, security, and business data in a schema-free, indexless data lakehouse. This foundation empowers intelligent decision-making and autonomous action, enabling enterprises to transition from human oversight to intelligent, self-operating systems. Together, the platform serves as the knowledge, reasoning, planning, and actioning framework of agentic AI, delivering trustworthy precision and adaptability.

  • Grail, an indexless, schema-free data lakehouse, hot/hot by design, provides real-time access to petabytes of data in context, eliminating the inefficiencies of re-indexing and rehydration, to address the complexity and scale of agentic AI systems.
  • Smartscape, a dynamic, real-time topology discovery, maps causal dependencies across complex digital ecosystems, enhancing the platform’s ability to deliver precise insights and automation, fueling Dynatrace AI for fact-based reasoning.
  • Davis AI combines causal, predictive, and generative AI techniques to analyze unified data, deliver trustworthy insights, and intelligently plan actions to minimize hallucinations, maximize precision in insights and answers, and adhere to responsible AI practices and compliance requirements.
  • AutomationEngine executes autonomous tasks and integrates seamlessly with first-party and third-party AI agents, driving differentiated efficiency and adaptability, all in a safe and privacy-protected manner for controlled agentic AI actions.

Through sustained innovation, Dynatrace provides the intelligence and autonomy developers, business leaders, and organizations need to tackle digital complexity and achieve extraordinary outcomes.

“These innovations provide the transparency, automation, and agility enterprises need to stay ahead in a rapidly evolving technology landscape,” Greifeneder added. “The result is a platform capable of autonomously preventing potential issues, optimizing resource use, and adapting to unforeseen challenges. Agentic AI represents a fundamental transformation in enterprise technology. Our platform not only delivers insights but actively enables businesses to anticipate challenges, adapt to changing conditions, and achieve their boldest ambitions. This evolution embodies our long-standing vision to empower organizations through trustworthy automation and actionable intelligence.”

The Latest

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...