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Dynatrace Extends its Davis AI Engine to Enable Ad Hoc, Exploratory Analytics

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Dynatrace (NYSE: DT) has announced an enhancement to its Davis AI engine, enabling development, SRE, and IT teams to perform ad hoc analytics. This update allows teams to harness causal AI for investigating emerging trends and resolving potential issues before they impact customers. The enhanced capabilities include real-time processing and intelligent automation for better application and infrastructure optimization. This feature will be generally available within 30 days, further positioning Dynatrace to streamline operations in complex cloud environments.

Positive
  • Enhancement of the Davis AI engine for ad hoc analytics.
  • Real-time processing of trillions of dependencies.
  • Improved application and infrastructure optimization.
  • Enhanced analytics capabilities to prevent customer-impacting issues.
Negative
  • None.

Enhances development, SRE, and IT teams' ability to proactively optimize clouds and digital experiences

WALTHAM, Mass.--(BUSINESS WIRE)-- Dynatrace announced today that it has extended its Davis® AI engine to empower development, SRE, and IT teams to conduct ad hoc, exploratory analytics. This allows teams to harness the power of Dynatrace’s causal AI to investigate newly emerging trends or block potential issues, like unexpected spikes in traffic or performance degradations. This enhancement builds on the Davis engine’s existing capabilities, including automatic and continuous full-stack monitoring, processing trillions of dependencies in real time, and delivering precise answers and intelligent automation from data. As a result, teams can further optimize their applications and infrastructure and avoid problems long before they become customer-impacting issues to ensure their digital services are flawless and secure.

“We rely on Dynatrace to ensure our applications are available 24/7, and the platform’s Davis AI engine is particularly critical to this effort,” said Alex Hibbitt, Group SRE Director at albelli-Photobox Group. “The insights we get from Davis have been game-changing for our teams because they are prioritized by business impact and detail the precise root cause of what’s impacting the performance of our digital services. Extending Davis to allow for more experimental analytics on-demand will allow us to optimize our environment and block performance problems that might eventually impact our customers. This helps us avoid fire drills and ensure our clouds and customer experiences are always optimized.”

“Our Davis AI engine was purpose-built to help organizations overcome modern cloud complexity and ensure optimal user experience,” said Steve Tack, SVP of Product Management at Dynatrace. “By extending Davis to deliver on-demand, exploratory analytics, Dynatrace is well-positioned within the market to enable development, SRE, and IT teams to analyze any observability signal at any time with deterministic AI. This provides a more granular and comprehensive analysis of complex cloud environments, empowering teams to spend more of their time innovating.”

This enhancement to the Dynatrace platform will become generally available within 30 days of this announcement. For additional details, please visit the Dynatrace blog.

About Dynatrace
Dynatrace (NYSE: DT) exists to make the world’s software work perfectly. Our unified software intelligence platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That’s why the world’s largest organizations trust the Dynatrace® platform to accelerate digital transformation.

Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a free 15-day Dynatrace trial.

Meg Brenner

meg.brenner@dynatrace.com

Source: Dynatrace

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