Meet Davis®, our radically different AI-engine
Automatically processes billions of dependencies to serve up precise answers.
Davis is purpose-built for today’s web-scale modern cloud
Complex
368 billiondependencies analyzed by Davis per second.Dynamic
8 billionapplication topology changes are already processed by Dynatrace per day.System health
100 thousandreduction of overall outage minutes is what Davis can help you achieve.
Interactive Tour
Stop guessing.
Start knowing. Instantly.
With Davis®, our unrivaled AI engine, precise answers are instant, automatic, and continuous. Explore how Davis drives automation and delivers broader, deeper insight into your environment.
Precision you can rely on.
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Dependency detection
Real-time dependency detection and distributed tracing. -
Topology visualisation
Get a real-time map of your entire application stack across hybrid cloud environment. -
Anomaly detection
No configuration, no data scientists needed. Dynatrace detects issues automatically and reliably. -
Root cause analysis
Dynatrace AI is deterministic and identifies the actual root cause with unmatched precision. -
Business impact analysis
Determine the severity of an anomaly in term of impacts to real users and business KPIs. -
AIOps
Use Davis to automate operations and enable self-healing.
Davis is purpose-built AI
Davis uses deterministic AI which is a radically different approach to traditional machine learning. It performs an automatic fault-tree analysis, the same methodology NASA and FAA are using. This is causation not correlation. The resulting root cause analysis is precise and reproducible step by step.
At the core, to understand more
Davis sits at the core of Dynatrace, not bolted on as an afterthought. Therefore, our AI engine is part of every aspect of the platform. Davis processes any and all data, whether it comes from a mainframe, the infrastructure, a cloud platform, or the CI/CD pipeline. This enables Davis to provide the granularity and precision needed to automate the cloud, unlike traditional AI.
Leverage Davis for exploratory analysis
Davis takes domain and topology knowledge to help SREs, architects, and DevOps teams to optimize complex, dynamic microservice environments.
Causal correlation analysis predicts and anticipates future resource shortages and validates the positive effects of software improvements.
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