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Dynatrace Expands Collaboration with Google Cloud to Help Power the Next Generation of AI Innovation

As a launch partner for Gemini Enterprise and Gemini CLI extensions, Dynatrace integrations are now available on Google Cloud Marketplace

Dynatrace expanded its collaboration with Google Cloud to help empower enterprises and developers to harness the full potential of agentic AI by becoming a launch partner for Gemini CLI extensions and Gemini Enterprise, a new agentic platform.  

The Dynatrace Gemini CLI Extension gives developers immediate access to observability and root-cause analysis directly within their terminal, allowing them to monitor, debug, and optimize applications without leaving their workflow.  

Complementing this, Gemini Enterprise connects AI agents directly to Dynatrace’s observability platform via Google’s A2A protocol, enabling real-time collaboration between systems to help detect, resolve, and prevent issues across complex environments.  

To simplify adoption, Dynatrace AI-driven integrations are now available through Google Cloud Marketplace, enabling customers to deploy and scale agentic AI solutions quickly and securely within their existing Google Cloud environments.

Dynatrace is among the first observability partners with a Google-validated A2A and Gemini Enterprise-compatible agent, demonstrating that its technology meets Google Cloud’s standards for performance and reliability. This achievement places Dynatrace within Google Cloud’s validated partner ecosystem, reinforcing its leadership in AI-powered observability and agentic architectures.

“Our expanded partnership with Google Cloud reflects Dynatrace’s leadership position in observability and our commitment to shaping how AI transforms cloud operations,” said Jay Snyder, SVP of Partners and Alliances, Dynatrace. “As a launch collaborator for both Gemini Enterprise and Gemini CLI extensions, we’re working with Google Cloud at the forefront of AI and observability innovation, helping customers build intelligent, reliable systems that adapt and optimize in real time.”

“Accelerating AI across the enterprise requires a visibility that connects developer innovation directly with operational resilience,” said Mitch Ashley, VP and Practice Lead, Futurum Research. “Dynatrace’s Gemini CLI Extension, combined with Dynatrace’s Agent-to-Agent (A2A) integration into Gemini Enterprise, removes friction and increases velocity for operations to keep the enterprise in the flow of utilizing agentic AI as a scalable core business driver.” 

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Dynatrace Expands Collaboration with Google Cloud to Help Power the Next Generation of AI Innovation

As a launch partner for Gemini Enterprise and Gemini CLI extensions, Dynatrace integrations are now available on Google Cloud Marketplace

Dynatrace expanded its collaboration with Google Cloud to help empower enterprises and developers to harness the full potential of agentic AI by becoming a launch partner for Gemini CLI extensions and Gemini Enterprise, a new agentic platform.  

The Dynatrace Gemini CLI Extension gives developers immediate access to observability and root-cause analysis directly within their terminal, allowing them to monitor, debug, and optimize applications without leaving their workflow.  

Complementing this, Gemini Enterprise connects AI agents directly to Dynatrace’s observability platform via Google’s A2A protocol, enabling real-time collaboration between systems to help detect, resolve, and prevent issues across complex environments.  

To simplify adoption, Dynatrace AI-driven integrations are now available through Google Cloud Marketplace, enabling customers to deploy and scale agentic AI solutions quickly and securely within their existing Google Cloud environments.

Dynatrace is among the first observability partners with a Google-validated A2A and Gemini Enterprise-compatible agent, demonstrating that its technology meets Google Cloud’s standards for performance and reliability. This achievement places Dynatrace within Google Cloud’s validated partner ecosystem, reinforcing its leadership in AI-powered observability and agentic architectures.

“Our expanded partnership with Google Cloud reflects Dynatrace’s leadership position in observability and our commitment to shaping how AI transforms cloud operations,” said Jay Snyder, SVP of Partners and Alliances, Dynatrace. “As a launch collaborator for both Gemini Enterprise and Gemini CLI extensions, we’re working with Google Cloud at the forefront of AI and observability innovation, helping customers build intelligent, reliable systems that adapt and optimize in real time.”

“Accelerating AI across the enterprise requires a visibility that connects developer innovation directly with operational resilience,” said Mitch Ashley, VP and Practice Lead, Futurum Research. “Dynatrace’s Gemini CLI Extension, combined with Dynatrace’s Agent-to-Agent (A2A) integration into Gemini Enterprise, removes friction and increases velocity for operations to keep the enterprise in the flow of utilizing agentic AI as a scalable core business driver.” 

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...