Dynatrace
announced a significant expansion of its powerful AI engine, Davis AI,
that can move enterprises beyond reactive AIOps to true preventive
operations. These enhanced capabilities enable organizations to predict
and prevent potential incidents before they occur through AI-driven
automation, while accelerating problem investigation and enhancing
automated remediation when issues do arise.
As digital services become increasingly complex and distributed,
traditional reactive approaches to IT operations are no longer
sufficient. Organizations face mounting pressure to prevent outages that
can cost millions in lost revenue and damage brand reputation.
Dynatrace has been pioneering AI-driven operations for more than a
decade, with Davis AI providing precise root cause analysis, while other
approaches still rely on correlation and chatbots. The latest
enhancements to the predictive, causal, and generative capabilities of
Davis AI include:
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Dynatrace unlocks the AI-powered generation of artifacts to
enhance automated remediation workflows. For example, Dynatrace enables
the generation of Kubernetes deployment resources to adjust limits based
on actual usage to prevent over- or under-provisioning.
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Davis AI strengthens its automatic root cause analysis with natural language explanations and contextual recommendations.
It provides clear problem summaries, specific remediation steps, and
surfaces relevant best practices based on its analysis of past
incidents. This accelerates Mean Time To Resolution (MTTR) while
building an intelligent knowledge base, enabling teams to learn from
previous experiences and mitigate the risk of knowledge loss.
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The above capabilities, combined with existing predictive AI
capabilities from Davis AI that forecast future behavior, enable true preventive operations.
Teams can now access instant predictions based on observability data,
AI-created artifacts, and Dynatrace automation all in one place to help
prevent issues before they occur. This extends Dynatrace AIOps beyond IT
operations and into security use cases like proactive firewall
configuration.
Customer Value in Preventive Operations
Andrea Gonzalez, Chief Operation Officer at NEQUI, a leading digital
bank and financial platform, said: "We are committed to delivering
top-notch digital experiences to our customers, which requires our teams
to embrace a proactive approach to ensuring continuous service
reliability. Dynatrace Davis AI has been instrumental in equipping our
teams with the automatic insights needed to pinpoint potential issues in
real time. These latest enhancements will only bolster these
capabilities, providing unprecedented forecasting analytics that will
help us be even more proactive in our approach to preventing issues
before they impact our customers."
Learning from Industry Experts
Andy Thurai, Vice President and Principal Analyst at Constellation
Research said: "Natural language processing (NLP) interface has been a
gamechanger for AIOps, enabling any incident responder to converse with
observability data and try to get to the root cause of the incident,
versus waiting for an experienced observability practitioner who fully
understands the system to step in. When a large language model (LLM) is
trained with ITOps-specific data and enhanced with enterprise-specific
observability telemetry, the GenAI immediately understands the telemetry
data that is fed into it and leaps into action without needing to wake
up someone with the tribal knowledge for help."
The Dynatrace Vision
"The shift from reactive to preventive operations represents the next
evolution in AIOps," said Bernd Greifeneder, CTO at Dynatrace. "With
further additions to our advanced AI capabilities, we believe Dynatrace
is cementing its leadership as an intelligent, problem-solving partner
for our global enterprise customers. By combining precise contextual
data with advanced AI capabilities, we're enabling organizations to
become truly proactive. This is not just about earlier detection of
problems or faster resolution-it's about preventing problems from
occurring in the first place."