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Dynatrace Announces Early Access for Joint Google Cloud Customers

Dynatrace 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.

Dynatrace Grail enables 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.

“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.”

“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 an 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. 

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Dynatrace Announces Early Access for Joint Google Cloud Customers

Dynatrace 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.

Dynatrace Grail enables 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.

“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.”

“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 an 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. 

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...