Dynatrace, a leader in end-to-end observability and security, announced that joint Google Cloud customers can now access early access to its latest platform innovations. These innovations are powered by the Dynatrace Grail™ data lakehouse, which preserves context across all data types, including logs, metrics, traces and events, to deliver accurate, actionable answers to customers.
As companies and organizations adopt cloud-native environments to drive innovation and digital transformation, they are faced with the need to manage vast amounts of data at an unprecedented scale. Traditional tools struggle to provide real-time insights into these vast and complex data stores, leading to inefficient and siloed operations. Dynatrace Grail is built to address these challenges by transforming complexity into an asset and enabling companies to derive real-time, actionable insights from their data. It unifies observability, security, and business data to enable companies to rapidly derive insights, improve operational performance, and gain an edge in their Google Cloud environments.
Additionally, with real-time data processing and advanced automation, Grail helps companies improve productivity and make smarter, data-driven decisions that directly impact business growth and competitive advantage. Other key benefits include:
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AI -Powered Precision : Davis® AI combined with Grail delivers accurate, real-time insights for informed decision-making and faster problem resolution.
Scalable Data Processing : Grail’s cloud-native architecture provides hot storage access and speed for all your data with the cost-efficiency of cold tier storage, eliminating the need for time-consuming and costly re-indexing and rehydration found in other observability solutions.
Seamless integration with Google Cloud : Organizations can integrate and analyze data within their existing cloud ecosystem, improving performance and security.
Easy developer access to Dynatrace data : Leveraging Google’s Gemini Code Assist (an AI-powered coding assistant that helps with code generation, completion, debugging, and more within the IDE), developers can access critical Dynatrace data, including data relevant to potential issues, without interrupting their workflow, enabling faster problem resolution and continuous innovation.
End-to-end multimodal AI model observability : Users can track and monitor the usage, 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, video, and code) at scale.
SOURCE: Dynatrace
