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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