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Dynatrace deepens Google Gemini ties with AI observability

Fri, 19th Dec 2025

Dynatrace has expanded its collaboration with Google Cloud and joined the launch of Google's Gemini Enterprise and Gemini CLI extensions, as the observability provider moves deeper into agentic AI tooling for developers and operations teams.

The company said its integrations are now available through Google Cloud Marketplace. Google has also validated a Dynatrace agent as compatible with its Agent-to-Agent (A2A) protocol and Gemini Enterprise.

Gemini Enterprise is Google Cloud's new agentic AI platform. It connects AI agents with external data sources and operational systems.

Dynatrace described its role as a launch partner for both Gemini Enterprise and Gemini CLI extensions. The move strengthens its position in Google Cloud's ecosystem of AI and observability partners.

Developer-focused tools

The Dynatrace Gemini CLI Extension gives developers access to observability data and root-cause analysis from within their terminal. Developers can monitor applications from the command line. They can also run debugging workflows and performance optimisation without switching tools.

The extension connects into the Dynatrace observability platform. It links logs, metrics and traces with AI-driven analysis within a developer's existing workflow.

Dynatrace said the approach targets day-to-day development and troubleshooting tasks. It is designed for teams that run cloud-native and distributed applications on Google Cloud.

Agentic AI integration

Dynatrace has also integrated its observability platform into Gemini Enterprise using Google's A2A protocol. This protocol links AI agents with external systems and data sources.

Gemini Enterprise can use Dynatrace data for real-time collaboration between AI agents and operational environments. AI agents can work with observability data on application performance, infrastructure health and user experience.

This integration supports use cases such as issue detection and incident response. It also supports preventive measures in complex, multi-layered environments.

Dynatrace said its A2A-based agent has passed Google validation. That places the company among the first observability vendors with a Google-approved A2A and Gemini Enterprise-compatible agent.

The status confirms alignment with Google Cloud performance and reliability requirements. It also embeds Dynatrace more deeply into Google's validated partner ecosystem around Gemini.

Marketplace availability

Dynatrace's AI-driven integrations now feature on Google Cloud Marketplace. Customers can adopt the tools from within their existing Google Cloud accounts.

Marketplace availability enables procurement, deployment and scaling through Google's commercial framework. Customers can align spending with their broader Google Cloud commitments.

The move reflects a wider trend of AI and observability software aligning with hyperscaler marketplaces. Vendors seek closer integration with cloud billing and security models.

Dynatrace targets customers that build and operate large-scale applications on Google Cloud. These users often run microservices, Kubernetes clusters and multi-region deployments that generate high volumes of telemetry data.

AI and observability

Dynatrace bases its observability proposition on AI-based analytics and automation. It applies machine learning to logs, metrics, traces and events from applications and infrastructure.

The company positions agentic AI as a next step beyond traditional monitoring dashboards and scripted automation. AI agents can interpret observability data, propose actions and in some cases act autonomously.

In cloud environments, this trend intersects with SRE practices, DevOps workflows and platform engineering initiatives. AI systems can support teams during incidents and during software rollouts.

Dynatrace's work with Google Cloud and Gemini sits within this broader shift. Observability vendors are building closer links with AI platforms that act on operational data in real time.

Jay Snyder, SVP of Partners and Alliances at Dynatrace, said the company is placing observability at the centre of this transition.

"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 optimise in real time."

Industry analysts have pointed to a convergence between development tooling and operational data as AI adoption grows. They also emphasise the role of AI agents in connecting these domains.

"Accelerating AI across the enterprise requires a visibility that connects developer innovation directly with operational resilience," said Mitch Ashley, VP and Practise 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."

Dynatrace said it will continue to work with Google Cloud on the Gemini Enterprise agent ecosystem. The companies plan further integrations that expand the role of AI agents in managing cloud-native environments.

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