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Dynatrace Announces Early Access for Joint Google Cloud Customers to Capabilities Enabling Real-time, Actionable Intelligence from Data

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Enhanced scalability and AI-powered insights from Dynatrace Grail™ empower organizations to unify observability, optimize operations, and accelerate innovation

WALTHAM, Mass., April 09, 2025--(BUSINESS WIRE)--Dynatrace (NYSE: DT), the leading AI-powered observability platform, today announced early access for joint Google Cloud customers to its most recent platform innovations. These innovations are powered by the Dynatrace Grail™ data lakehouse that retains context across all data types – including logs, metrics, traces, events, and more – to provide customers with precise, actionable answers.

As organizations embrace cloud-native environments to drive innovation and digital transformation, they must manage volumes of data at an unprecedented scale. Traditional tools struggle to provide real-time insights across these vast and complex data stores, leading to inefficiencies and siloed operations. Dynatrace Grail was developed to address these challenges by transforming complexity into an asset, enabling organizations to extract real-time, actionable intelligence from their data. It brings together observability, security, and business data, allowing businesses to swiftly derive insights, boost operational performance and stay ahead in Google Cloud environments.

With real-time data processing and advanced automation, Grail also helps organizations improve efficiencies to make smarter, data-driven decisions that directly contribute to business growth and competitive advantage. Other key benefits include:

  • AI-Driven Precision: The combination of Davis® AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution.

  • Scalable Data Processing: Grail’s cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions.

  • Seamless Integration with Google Cloud: Organizations can unify and analyze data within their existing cloud ecosystems, enhancing performance and security.

  • Easy Access to Dynatrace Data for Developers: With Google’s Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation.

  • Observability for End-to-End Multimodal AI Models: Users can track and monitor the consumption, cost, and performance of AI services and models provided by Google’s Gemini models – a family of multimodal AI models designed to understand and generate text, images, audio, videos, and code – at scale.