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Dynatrace and Microsoft Partner to Scale Enterprise Customer AI Initiatives

New integration enables customers to automate majority of cloud operations tasks

Dynatrace announced a new integration between the Dynatrace platform and Microsoft Azure SRE Agent, Microsoft’s AI-powered reliability assistant for Azure that continuously monitors resources. 

Dynatrace is the first observability platform to integrate with Azure SRE Agent, setting a new standard for cloud operations.

According to Gartner®, “worldwide spending on AI is forecast to total nearly $1.5 trillion in 2025.” As organizations continue to accelerate their AI investments, gaining end-to-end visibility into the entire digital ecosystem and automating operations is increasingly critical. With the agentic integration of Dynatrace in the Azure portal, customers are empowered to achieve these goals with greater confidence.

The integration combines AI-driven root cause analysis from Dynatrace with deeper insights from Azure SRE, allowing teams to fix complex problems in large-scale IT environments faster and more efficiently. The integration also unlocks streamlined remediation processes, including remediation hints, to support accelerated incident resolution and reduced outages. This allows teams to focus on innovation and driving the business forward.

Key benefits of the integration include:

  • Smarter detection and remediation:  Deep contextual observability from Dynatrace correlates with Azure telemetry to enhance issue identification and resolution across complex environments.
  • Automated operations: Routine runbook actions and diagnostic workflows are automated, reducing mean time to repair and freeing teams to focus on innovation.
  • Proactive reliability: Continuous analysis of real-time and historical data reveals leading indicators of failure, helping teams prevent incidents before they impact customers.

“The AI capabilities jointly delivered by Dynatrace and Microsoft take our customers one step closer to driving autonomous operations across their complex environments,” said Scott Hunter, VP, Product Management of Core AI & Engineering at Microsoft. “With continuous, automatic real-time insights and analysis, teams have more time to focus on driving innovation.”  

“Enterprises today are operating in increasingly complex cloud environments, where disparate systems and lack of visibility can hinder innovation,” said Steve Tack, Chief Product Officer at Dynatrace. “Customers need more than alerts – they need AI that acts. This integration strengthens Dynatrace’s vision for agentic AI, delivering intelligent, automated observability across the Microsoft ecosystem, and helps enterprises not only identify issues, but automate remediation at scale.”

Dynatrace customer FreedomPay will co-present on its generative and agentic AI vision during Microsoft Ignite, November 18–21, 2025.  Visit Dynatrace at booth 5438 to see a demo, join Dynatrace Quest, meet with an expert, or learn how Dynatrace can help you achieve seamless observability. 

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Dynatrace and Microsoft Partner to Scale Enterprise Customer AI Initiatives

New integration enables customers to automate majority of cloud operations tasks

Dynatrace announced a new integration between the Dynatrace platform and Microsoft Azure SRE Agent, Microsoft’s AI-powered reliability assistant for Azure that continuously monitors resources. 

Dynatrace is the first observability platform to integrate with Azure SRE Agent, setting a new standard for cloud operations.

According to Gartner®, “worldwide spending on AI is forecast to total nearly $1.5 trillion in 2025.” As organizations continue to accelerate their AI investments, gaining end-to-end visibility into the entire digital ecosystem and automating operations is increasingly critical. With the agentic integration of Dynatrace in the Azure portal, customers are empowered to achieve these goals with greater confidence.

The integration combines AI-driven root cause analysis from Dynatrace with deeper insights from Azure SRE, allowing teams to fix complex problems in large-scale IT environments faster and more efficiently. The integration also unlocks streamlined remediation processes, including remediation hints, to support accelerated incident resolution and reduced outages. This allows teams to focus on innovation and driving the business forward.

Key benefits of the integration include:

  • Smarter detection and remediation:  Deep contextual observability from Dynatrace correlates with Azure telemetry to enhance issue identification and resolution across complex environments.
  • Automated operations: Routine runbook actions and diagnostic workflows are automated, reducing mean time to repair and freeing teams to focus on innovation.
  • Proactive reliability: Continuous analysis of real-time and historical data reveals leading indicators of failure, helping teams prevent incidents before they impact customers.

“The AI capabilities jointly delivered by Dynatrace and Microsoft take our customers one step closer to driving autonomous operations across their complex environments,” said Scott Hunter, VP, Product Management of Core AI & Engineering at Microsoft. “With continuous, automatic real-time insights and analysis, teams have more time to focus on driving innovation.”  

“Enterprises today are operating in increasingly complex cloud environments, where disparate systems and lack of visibility can hinder innovation,” said Steve Tack, Chief Product Officer at Dynatrace. “Customers need more than alerts – they need AI that acts. This integration strengthens Dynatrace’s vision for agentic AI, delivering intelligent, automated observability across the Microsoft ecosystem, and helps enterprises not only identify issues, but automate remediation at scale.”

Dynatrace customer FreedomPay will co-present on its generative and agentic AI vision during Microsoft Ignite, November 18–21, 2025.  Visit Dynatrace at booth 5438 to see a demo, join Dynatrace Quest, meet with an expert, or learn how Dynatrace can help you achieve seamless observability. 

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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