Dynatrace, Inc. announced the launch of its Grail™ core technology within the Dynatrace® Software Intelligence Platform. Grail will revolutionize data analytics and management by unifying 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.

Multicloud and cloud-native architectures, the backbone of modern digital transformation, produce an explosion of data. This data is siloed, reflecting the diverse parts of the cloud ecosystem where it originated. To extract value from this data using traditional solutions, ITOps, DevOps, SRE, and security teams need to structure it to reflect questions they expect to ask in the future.

They rely on time-consuming manual procedures, including data indexing and rehydration, in addition to managing multiple data repositories, which cannot react quickly enough to rapidly changing application and cloud environments or evolving security threats. The cost and overhead of maintaining antiquated procedures and fractured toolsets outpace the business value. Modern clouds demand a new approach.

Adding Grail to its platform positions Dynatrace to address these needs. 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.