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Dynatrace Davis AI Review

Name: Dynatrace Davis AI
Availability: OnlineOnly
Author: Stork.AI

Dynatrace Davis AI is an artificial intelligence engine integral to the Dynatrace software intelligence platform, providing full-stack observability, automating IT operations, and enhancing application security.

shipped Nov 14, 2025automatepaid

Domain rating83Traffic rank#525AI-readablestrong

AutomateDev & ITOps assistant

Why it matters

1Integrates Predictive AI, Causal AI, and Generative AI (Davis CoPilot) for hypermodal capabilities.

2Automatically detects performance anomalies and identifies root causes, reducing Mean Time To Resolve (MTTR) incidents.

3Offers comprehensive monitoring of applications, microservices, and infrastructure with dynamic topology mapping (Smartscape).

4Announced expansion to preventive operations in February 2025, moving beyond reactive AIOps.

Stork’s verdict on Dynatrace Davis AI

Dynatrace Davis AI delivers deterministic root cause analysis across complex stacks, but expect significant setup and a steep learning curve.

Dynatrace Davis AI reviewed by Stork AI · stork.ai/en/dynatrace-davis-ai

Specs

API Docs

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overview

What is Dynatrace Davis AI?

Dynatrace Davis AI is a hypermodal artificial intelligence engine developed by Dynatrace that enables IT operations, development teams, and site reliability engineers to provide full-stack observability, automate IT operations, and enhance application security. It combines Predictive AI, Causal AI, and Generative AI (Davis CoPilot) to deliver precise answers and automate workflows across complex, dynamic, hybrid, and multi-cloud environments.

features

Key Features of Dynatrace Davis AI

Dynatrace Davis AI provides a suite of capabilities designed to offer comprehensive observability and automation across diverse IT environments.

Hypermodal AI: Integrates Predictive AI, Causal AI, and Generative AI (Davis CoPilot) for comprehensive insights and automated actions.
Automated Root Cause Analysis: Utilizes deterministic AI to perform automatic fault-tree analysis and precisely identify problem root causes, significantly reducing MTTR.
Full-Stack Observability: Provides comprehensive monitoring of applications, microservices, infrastructure, and user experience with automatic Smartscape topology mapping.
Intelligent Anomaly Detection: Establishes smart baselines and automatically checks thousands of topologically related metrics for suspicious behavior.
Proactive Problem Prevention: Employs Predictive AI models to anticipate future behavior and potential incidents before they impact end-users.
Application Security: Offers context-aware vulnerability prioritization and real-time application security, including the Davis Security Score.
Davis CoPilot: A generative AI component providing automated recommendations, suggested workflows, and natural language interaction for task completion.
AI-powered Artifact Generation: Generates artifacts like Kubernetes deployment resources to enhance automated remediation workflows.
Monitoring OpenAI ChatGPT: Automatically monitors OpenAI API request consumption, latency, and stability for AI applications, including GPT-3, Codex, DALL-E, and ChatGPT.

use cases

Who Should Use Dynatrace Davis AI?

Dynatrace Davis AI is engineered for organizations and teams managing complex digital ecosystems, requiring advanced automation and deep insights.

IT Operations Teams: For automating workflows, reducing Mean Time To Resolve (MTTR) incidents, and achieving proactive problem prevention across hybrid and multi-cloud environments.
Development & SRE Teams: For enhancing DevSecOps and Site Reliability Engineering (SRE) practices through full-stack observability, application security, and intelligent cloud ecosystem automations.
Organizations with Generative AI Applications: For best-in-class observability of Generative AI applications, LLMs, and agents, including monitoring of OpenAI API requests.
Businesses Requiring Real-time Analytics: For making better business decisions in real-time with customizable business observability analytics and turning data into autonomous actions.
Cloud-Native and Enterprise Environments: For end-to-end infrastructure observability, APM, distributed tracing, and profiling for modern multi-cloud and enterprise stacks.

how to use

How to Use Dynatrace Davis AI

Getting started with Dynatrace Davis AI involves deploying its agents and leveraging the platform's automated discovery and AI capabilities.

1Initiate a free trial or subscribe to a Dynatrace plan via the official Dynatrace website.
2Deploy Dynatrace OneAgent across your application, service, and infrastructure components for automatic data collection and monitoring.
3Utilize the Smartscape topology map to visualize dependencies and understand the dynamic relationships within your IT environment.
4Configure custom dashboards and alerts to monitor specific metrics, business KPIs, and receive notifications on detected anomalies.
5Engage with Davis CoPilot using natural language to explore data, generate suggested workflows, and receive automated recommendations for problem resolution.
6Integrate Dynatrace Davis AI with existing CI/CD pipelines and IT service management tools for enhanced automated remediation and incident response.

pricing

Dynatrace Davis AI Pricing & Plans

Dynatrace Davis AI operates on a paid subscription model, with pricing structured to accommodate various enterprise needs. The vendor website advertises a free tier, allowing users to explore core functionalities before committing to a paid plan. Specific pricing details for different tiers and usage levels are available directly on the Dynatrace pricing page, which can be accessed for detailed consultation.

Free Tier: Available for initial exploration and evaluation of core functionalities.
Paid Plans: Specific pricing details for various modules (e.g., Application Observability, Infrastructure Observability, Application Security) require direct inquiry or consultation with Dynatrace sales.

Pros

+Provides highly accurate, deterministic AI analysis for precise root cause identification across complex environments.
+Significantly reduces Mean Time To Resolve (MTTR) incidents through automated fault-tree analysis and proactive problem prevention.
+Offers comprehensive full-stack observability with automatic discovery and dynamic dependency mapping (Smartscape).
+Leverages hypermodal AI (Predictive, Causal, Generative) for intelligent anomaly detection and future behavior anticipation.
+Prevents notification fatigue by correlating thousands of events into single, actionable problems with clear context.
+Includes Davis CoPilot, a generative AI component for automated recommendations, workflows, and natural language interaction.

Cons

−Can involve a significant initial setup and configuration effort for large, highly distributed enterprise environments.
−The comprehensive feature set may present a steep learning curve for new users unfamiliar with advanced observability concepts.
−Pricing for extensive usage can be substantial, typical of enterprise-grade observability and AIOps platforms.
−Deep integration within the Dynatrace ecosystem may lead to vendor lock-in for organizations seeking multi-vendor flexibility.
−Requires deployment of Dynatrace OneAgent, which consumes system resources on monitored hosts, potentially impacting performance.

Policies

Pricing Page

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Dynatrace Davis AI vs Competitors

Dynatrace Davis AI differentiates itself within the AIOps and observability landscape through its hypermodal AI approach and deep integration across the Dynatrace platform.

IBM Watson AIOps↗

IBM Watson AIOps provides AI-driven insights for IT operations, detecting and resolving issues faster by analyzing logs, alerts, and system performance data, and automating incident detection and root cause analysis.

Similar to Dynatrace Davis AI, it focuses on AI-driven incident detection and root cause analysis, but it is often positioned for large-scale enterprise environments and integrates with existing IT Ops tools.

HarnessOn Stork Compare

Harness automates DevOps workflows, including CI/CD, deployment verification, and infrastructure management, leveraging AI to streamline the entire path from code to production.

While Dynatrace Davis AI focuses broadly on Ops assistant and automating workflows across Dev & IT, Harness specifically targets and automates the entire DevOps pipeline, including CI/CD and infrastructure as code, with AI.

Datadog (AIOps / Bits AI SRE)On Stork Compare

Datadog offers comprehensive observability with AI-powered anomaly detection, log and metric correlation, and autonomous SRE capabilities for incident investigation and remediation.

Datadog is a direct commercial competitor to Dynatrace, offering a broader observability platform with integrated AIOps features, including autonomous SRE agents, whereas Dynatrace Davis AI is a core component of its full-stack observability platform.

Resolve AIOn Stork Compare

Resolve AI is a platform-agnostic multi-agent AI SRE system that autonomously investigates incidents, delivers root cause analysis, and generates executable remediation actions like PRs, kubectl commands, and code fixes.

Unlike Dynatrace Davis AI, which is tightly coupled to the Dynatrace ecosystem, Resolve AI is platform-agnostic and focuses on generating executable remediation across various tools, offering greater investigation autonomy without vendor lock-in.

PagerDutyOn Stork Compare

PagerDuty is an AI-First Operations Platform that layers AIOps capabilities over incident management workflows, focusing on reducing alert noise and automating triage and response through AI agents.

While Dynatrace Davis AI provides causal AI for root cause analysis and automation within its observability platform, PagerDuty integrates AIOps with its incident management core, emphasizing automated incident response, noise reduction, and on-call scheduling.

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