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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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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...