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Dynatrace Launches Grail

Dynatrace announced the launch of its Grail™ core technology within the Dynatrace Software Intelligence Platform.

Grail unifies observability data as well as security and business data from cloud-native and multicloud environments, retaining its context, and delivering instant, precise, and cost-efficient AI-powered answers and automation.

Initially, Dynatrace is leveraging Grail to power log analytics and management. Going forward, the company expects to extend the technology to power additional IT, development, security, and business analytics solutions.

Grail is a causational data lakehouse with a massively parallel processing (MPP) analytics engine. It leverages the new Dynatrace Query Language (DQL) for context-rich log analytics. It works in concert with other core Dynatrace platform technologies, including:

- OneAgent® services to automatically discover, activate, and instrument applications, microservices, infrastructure, and any dependency in modern cloud environments;

- Smartscape® continuously updated full-stack topology;

- PurePath® distributed tracing and code-level analysis; and

- Davis® causal AI to process data and deliver precise answers prioritized by business impact.

Bernd Greifeneder, Founder and Chief Technical Officer at Dynatrace, said, “Organizations are painfully in need of a revolutionary approach to observability, security, and business data analytics that transcends the performance limits of their existing solutions by as much as 100X for complex use cases while relieving existing cost constraints for managing cloud-native and multicloud environments. Grail delivers by boosting the Dynatrace-approach to causal AI, which retains data-context with precision and at massive scale. Starting with logs, Grail makes it possible for teams to leverage instant analytics for any query or question cost-effectively.”

Grail for log management and analytics is expected to become available within 30 days of this announcement for customers using Dynatrace SaaS on AWS.

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Dynatrace Launches Grail

Dynatrace announced the launch of its Grail™ core technology within the Dynatrace Software Intelligence Platform.

Grail unifies observability data as well as security and business data from cloud-native and multicloud environments, retaining its context, and delivering instant, precise, and cost-efficient AI-powered answers and automation.

Initially, Dynatrace is leveraging Grail to power log analytics and management. Going forward, the company expects to extend the technology to power additional IT, development, security, and business analytics solutions.

Grail is a causational data lakehouse with a massively parallel processing (MPP) analytics engine. It leverages the new Dynatrace Query Language (DQL) for context-rich log analytics. It works in concert with other core Dynatrace platform technologies, including:

- OneAgent® services to automatically discover, activate, and instrument applications, microservices, infrastructure, and any dependency in modern cloud environments;

- Smartscape® continuously updated full-stack topology;

- PurePath® distributed tracing and code-level analysis; and

- Davis® causal AI to process data and deliver precise answers prioritized by business impact.

Bernd Greifeneder, Founder and Chief Technical Officer at Dynatrace, said, “Organizations are painfully in need of a revolutionary approach to observability, security, and business data analytics that transcends the performance limits of their existing solutions by as much as 100X for complex use cases while relieving existing cost constraints for managing cloud-native and multicloud environments. Grail delivers by boosting the Dynatrace-approach to causal AI, which retains data-context with precision and at massive scale. Starting with logs, Grail makes it possible for teams to leverage instant analytics for any query or question cost-effectively.”

Grail for log management and analytics is expected to become available within 30 days of this announcement for customers using Dynatrace SaaS on AWS.

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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 ...

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

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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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Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...