Dynatrace Announces Early Access for Joint Google Cloud Customers to Capabilities Enabling Real-time, Actionable Intelligence from Data
Dynatrace (NYSE: DT) has announced early access for Google Cloud customers to its platform innovations powered by Dynatrace Grail™ data lakehouse. The solution enables real-time processing of observability, security, and business data, maintaining context across logs, metrics, traces, and events.
Key features include AI-driven precision through Davis® AI integration, scalable data processing without re-indexing needs, and seamless Google Cloud integration. The platform offers developer access to Dynatrace data through Google's Gemini Code Assist and provides observability for Gemini multimodal AI models.
The integration aims to help organizations manage complex cloud-native environments more efficiently, streamline operations, and accelerate innovation. Dynatrace expects Grail data lakehouse on Google Cloud to be generally available by June 30.
Dynatrace (NYSE: DT) ha annunciato l'accesso anticipato per i clienti di Google Cloud alle sue innovazioni della piattaforma alimentate dal Dynatrace Grail™ data lakehouse. La soluzione consente l'elaborazione in tempo reale di dati di osservabilità, sicurezza e business, mantenendo il contesto attraverso log, metriche, tracce ed eventi.
Le caratteristiche principali includono una precisione guidata dall'IA attraverso l'integrazione di Davis® AI, elaborazione dei dati scalabile senza necessità di reindicizzazione e integrazione fluida con Google Cloud. La piattaforma offre accesso agli sviluppatori ai dati di Dynatrace tramite il Gemini Code Assist di Google e fornisce osservabilità per i modelli AI multimodali Gemini.
L'integrazione mira ad aiutare le organizzazioni a gestire ambienti cloud-native complessi in modo più efficiente, semplificare le operazioni e accelerare l'innovazione. Dynatrace prevede che il Grail data lakehouse su Google Cloud sarà generalmente disponibile entro il 30 giugno.
Dynatrace (NYSE: DT) ha anunciado el acceso anticipado para los clientes de Google Cloud a sus innovaciones de plataforma impulsadas por el Dynatrace Grail™ data lakehouse. La solución permite el procesamiento en tiempo real de datos de observabilidad, seguridad y negocios, manteniendo el contexto a través de registros, métricas, trazas y eventos.
Las características clave incluyen precisión impulsada por IA a través de la integración de Davis® AI, procesamiento de datos escalable sin necesidad de reindexación e integración fluida con Google Cloud. La plataforma ofrece acceso a los desarrolladores a los datos de Dynatrace a través de Gemini Code Assist de Google y proporciona observabilidad para los modelos de IA multimodal Gemini.
La integración tiene como objetivo ayudar a las organizaciones a gestionar entornos complejos nativos de la nube de manera más eficiente, optimizar operaciones y acelerar la innovación. Dynatrace espera que el Grail data lakehouse en Google Cloud esté disponible de forma general para el 30 de junio.
Dynatrace (NYSE: DT)는 Google Cloud 고객을 위한 Dynatrace Grail™ 데이터 레이크하우스를 기반으로 한 플랫폼 혁신에 대한 조기 액세스를 발표했습니다. 이 솔루션은 로그, 메트릭, 추적 및 이벤트 전반에 걸쳐 맥락을 유지하면서 관측 가능성, 보안 및 비즈니스 데이터의 실시간 처리를 가능하게 합니다.
주요 기능으로는 Davis® AI 통합을 통한 AI 기반 정밀성, 재색인화 필요 없이 확장 가능한 데이터 처리, 그리고 Google Cloud와의 원활한 통합이 포함됩니다. 이 플랫폼은 Google의 Gemini Code Assist를 통해 Dynatrace 데이터에 대한 개발자 액세스를 제공하며, Gemini 다중 모달 AI 모델에 대한 관측 가능성을 제공합니다.
이 통합은 조직이 복잡한 클라우드 네이티브 환경을 보다 효율적으로 관리하고, 운영을 간소화하며, 혁신을 가속화하는 데 도움을 주기 위한 것입니다. Dynatrace는 Google Cloud에서 Grail 데이터 레이크하우스가 6월 30일까지 일반적으로 사용 가능할 것으로 예상하고 있습니다.
Dynatrace (NYSE: DT) a annoncé un accès anticipé pour les clients de Google Cloud à ses innovations de plateforme alimentées par le Dynatrace Grail™ data lakehouse. La solution permet le traitement en temps réel des données d'observabilité, de sécurité et commerciales, tout en maintenant le contexte à travers les journaux, les métriques, les traces et les événements.
Les fonctionnalités clés comprennent une précision pilotée par l'IA grâce à l'intégration de Davis® AI, un traitement des données évolutif sans besoin de réindexation et une intégration fluide avec Google Cloud. La plateforme offre un accès aux développeurs aux données Dynatrace via le Gemini Code Assist de Google et fournit une observabilité pour les modèles d'IA multimodaux Gemini.
L'intégration vise à aider les organisations à gérer plus efficacement des environnements cloud natifs complexes, à rationaliser les opérations et à accélérer l'innovation. Dynatrace s'attend à ce que le Grail data lakehouse sur Google Cloud soit généralement disponible d'ici le 30 juin.
Dynatrace (NYSE: DT) hat den frühen Zugang für Google Cloud-Kunden zu seinen Plattforminnovationen, die durch das Dynatrace Grail™ Data Lakehouse unterstützt werden, bekannt gegeben. Die Lösung ermöglicht die Echtzeitverarbeitung von Beobachtungs-, Sicherheits- und Geschäftsdaten und erhält den Kontext über Protokolle, Metriken, Traces und Ereignisse hinweg.
Zu den Hauptfunktionen gehören KI-gesteuerte Präzision durch die Integration von Davis® AI, skalierbare Datenverarbeitung ohne Neureindexierungsbedarf und nahtlose Integration mit Google Cloud. Die Plattform bietet Entwicklern Zugriff auf Dynatrace-Daten über Google’s Gemini Code Assist und bietet Beobachtungsfähigkeit für Gemini multimodale KI-Modelle.
Die Integration zielt darauf ab, Organisationen zu helfen, komplexe cloud-native Umgebungen effizienter zu verwalten, die Abläufe zu optimieren und Innovationen zu beschleunigen. Dynatrace erwartet, dass das Grail Data Lakehouse auf Google Cloud bis zum 30. Juni allgemein verfügbar sein wird.
- Integration with Google Cloud expands market reach and customer base
- Real-time data processing capabilities without costly re-indexing operations
- Enhanced product offering through Gemini AI integration
- Scheduled launch date indicates product readiness
- Currently to early access, not yet generally available
- Success depends on Google Cloud customer adoption
Insights
Dynatrace's early access program for Google Cloud customers represents a strategic expansion of its AI-powered observability capabilities into a major cloud ecosystem. The integration of Dynatrace Grail with Google Cloud creates a differentiated offering in the increasingly competitive cloud observability market.
The announcement highlights how Grail's data lakehouse architecture provides the performance of hot storage at cold storage costs—a compelling value proposition for enterprises struggling with massive data volumes. This addresses a critical pain point for organizations whose traditional tools can't deliver real-time insights across complex cloud environments.
The integration with Google's Gemini Code Assist and support for monitoring Gemini AI models is particularly significant. As organizations rapidly adopt generative AI, having observability built specifically for these workloads creates meaningful differentiation. Dynatrace is positioning itself at the intersection of two high-growth markets: cloud observability and AI operations.
The June 30 general availability timeline indicates this is a mature product enhancement rather than a speculative announcement. By securing an endorsement from Google Cloud's Managing Director of AI & Data ISV Partnerships, Dynatrace demonstrates the strategic importance of this partnership to both companies.
This move strengthens Dynatrace's competitive position against rivals like Datadog and Splunk by enhancing its multi-cloud strategy and AI capabilities—critical factors for maintaining market share in the evolving observability landscape.
Enhanced scalability and AI-powered insights from Dynatrace Grail™ empower organizations to unify observability, optimize operations, and accelerate innovation
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.
Learning from Industry Analysts
“The winners in the digital-first world are those who get their ‘data house’ in order. This requires harnessing large amounts of data, scalable processing and performance, and AI to infer new insights unattainable without such a solution,” said Mitch Ashley, VP and Practice Lead, DevOps and Application Development at The Futurum Group. “Expanding Dynatrace observability and security, along with the power of Grail and Davis® AI, to Google Cloud customers brings a solid platform to tackle these challenges.”
The Google Cloud Vision
“AI-powered observability has the power to transform how organizations manage their cloud-native environments,” said Ritika Suri, Managing Director of AI & Data ISV Partnerships at Google Cloud. “Solutions like Dynatrace Grail, integrated with Google Cloud's leading AI and infrastructure, enable customers to streamline operations, enhance efficiency, and confidently drive innovation.”
The Dynatrace Vision
“Grail has been a game changer for Dynatrace, setting us apart by delivering real-time insights at an unprecedented scale,” said Jay Snyder, SVP of Partners and Alliances, Dynatrace. “By combining the capabilities of Grail with the flexibility and power of Google Cloud, Dynatrace empowers customers to innovate faster, operate more efficiently, and achieve their digital transformation goals with confidence.”
The early access program presents a unique opportunity for Google Cloud customers to adopt next-generation observability technology, positioning them at the forefront of cloud-native transformation. Through this integration, enterprises can modernize operations, improve system reliability, and unlock new opportunities for growth and efficiency.
Dynatrace expects the Grail data lakehouse on Google Cloud to be generally available by June 30.
Additional Resources
- For more details on how Grail can transform your cloud operations, visit the Dynatrace blog.
- To learn more about Gemini Code Assist and its benefits for developers, check out this blog post.
About Dynatrace
Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.
Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.
Cautionary Language Concerning Forward-Looking Statements
This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities and the expected benefits to organizations from using Dynatrace and AI. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.
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Source: Dynatrace