Ansible Automation Platform
The enterprise-grade standard for hybrid-cloud orchestration and AI-assisted automation.
The industry's only hypermodal AI combining causal, predictive, and generative intelligence for unified observability.
Dynatrace Davis AI represents a paradigm shift in AIOps through its 'hypermodal' architecture, integrating causal, predictive, and generative AI models into a unified platform. Unlike traditional probabilistic AI that relies on correlation, Davis AI utilizes Causal AI through its 'Smartscape' topology—a real-time map of all entity dependencies across the full stack. This allows it to provide deterministic root-cause analysis with zero false positives. By 2026, Davis AI has expanded its footprint into the 'Grail' data lakehouse, enabling Davis Co-Pilot to perform complex natural language queries across petabytes of logs and metrics. Its predictive engine utilizes sophisticated time-series forecasting to anticipate infrastructure bottlenecks before they impact end-users, while the AutomationEngine orchestrates self-healing workflows based on Davis's findings. This technical synergy positions Dynatrace as a leader for enterprises managing hyper-complex microservices and multi-cloud environments, where manual troubleshooting is no longer viable. The platform is designed for zero-configuration, automatically discovering and instrumenting environments via OneAgent, ensuring that the AI has a high-fidelity data stream for both security and performance analytics.
A real-time dependency map that links every entity from the user's browser to the backend database.
The enterprise-grade standard for hybrid-cloud orchestration and AI-assisted automation.
The Industry-Leading Enterprise Digital Employee for High-Value Task Autonomy
AI-Driven Hyper-Automation for Modern Endpoint Management and Security
The causal-AI-powered data lakehouse for hyper-scale observability and security analytics.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A generative AI assistant that uses causal and predictive context to answer natural language queries.
Massively parallel processing (MPP) data lake optimized for logs, metrics, and traces without indexing.
Uses machine learning to analyze historical trends and predict future anomalies in traffic or resource usage.
A fault-domain isolation engine that follows dependency paths to identify the precise 'root' of an issue.
A single binary that automatically instruments all layers of the stack without code changes.
Integrates security vulnerability data with runtime context to identify if a vulnerable library is actually in use.
Alert storms during a microservices outage making it impossible to find the root cause.
Registry Updated:2/7/2026
Davis consolidates 500+ alerts into a single problem ticket with the database as the root.
Over-provisioning cloud resources leading to high costs.
Junior SREs struggling to write complex queries to analyze log patterns.