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Dynatrace introduced Grail. The technology centralizes observability data from different cloud environments and provides analytics capabilities to analyse the data in a single location.

Dynatrace develops software intelligence and application monitoring solutions. The company recently introduced Grail, a new technology that will become an integral part of its software platform and should bring observability data from multi-cloud environments to one place.

Such data is typically housed in silos. By centralizing the data, companies can reap many benefits, Dynatrace said. In addition, the technology should provide various analytical capabilities. These capabilities allow companies to use AI to gain highly precise and cost-effective insights while discovering automation opportunities.

Causational lakehouse

The Grail technology pools all observability, security and business data in a single environment. This data is then contextualized in real-time, providing data-supported insights at any time.

Dynatrace describes Grail as a ‘causational’ data lakehouse, featuring a large massive parallel processing (MPP) engine. The Dynatrace Query Language (DQL) provides context-rich log analysis.


The Grail technology works in conjunction with other functionality from Dynatrace’s intelligent software platform, including OneAgent services. These allow companies to automatically discover and activate applications, microservices, infrastructure and dependencies in cloud environments.

Other integrations include the always up-to-date full-stack topology of Smartscape, the distributed tracking and code analysis functionality of PurePath and the AI functionality of Davis, which processes data and advises on the best course of action based on business impact.

Dynatrace Grail will become available this month. The solution will initially focus on providing log analytics and management tasks. At a later stage, the technology will be expanded into development, security and analytics applications.