AIOps built on causal AI and full-stack context
Dynatrace Intelligence continuously analyzes your environment, finds the precise root cause of every problem, and triggers automated remediation before users feel the impact.
AIOps that goes beyond alerting
Most AIOps tools surface probable causes and leave the rest to your team. Dynatrace evaluates billions of topology dependencies in milliseconds, delivers a single precise root cause, and automates the response so your teams spend less time investigating and more time building.
Proactive prevention
Detect anomalies and predict issues before they escalate into incidents, reducing unplanned downtime across your full environment.
Precise root cause
Evaluate billions of entity relationships automatically and pinpoint the exact cause with no manual correlation required.
Automated remediation
Trigger intelligent workflows that act on AI findings so teams resolve problems in minutes, not hours.
Put AI to work across IT operations
Detect and prevent issues before users notice
Reactive operations mean users always find problems first. Dynatrace monitors your full environment with AI-powered anomaly detection, predicts issues before they escalate, and surfaces business impact so teams can prevent, not just respond.
Get to precise root cause with no manual investigation
Alert storms and probable causes slow every response. Dynatrace evaluates billions of entity relationships in milliseconds and delivers a single, precise root cause so your team knows exactly what to fix without wading through noise.
Close the loop from detection to resolution
Finding the problem is only half the work. Dynatrace Intelligence triggers automated remediation workflows the moment it identifies a root cause, so your environment heals faster and your team's time goes toward higher-value work.
Frequently Asked Questions
AIOps (AI for IT Operations) is the practice of applying artificial intelligence to maximize IT operations potential — automatically detecting anomalies, surfacing precise root causes, and triggering remediation without human intervention. Dynatrace AIOps continuously ingests data from every layer of the technology stack and analyzes it in real time, enabling teams to resolve issues in minutes rather than hours. Unlike basic alerting tools, Dynatrace AIOps connects observability signals to business context so teams always know what is broken, why it broke, and how to fix it.
Dynatrace AIOps is powered by a set of integrated platform components: Dynatrace Intelligence for AI-driven analysis, Smartscape for real-time topology mapping, Grail for unified data storage, and OpenPipeline for ingesting and normalizing data at scale. OneAgent automatically instruments every host, container, and process, while PurePath distributed tracing captures full transaction context end to end. AutomationEngine and AppEngine then act on those insights to trigger remediation workflows, close incident loops, and feed CI/CD pipelines — all without manual configuration.
Traditional monitoring tools generate alerts based on static thresholds and leave engineers to manually correlate logs, metrics, and traces to find the source of a problem. Dynatrace AIOps evaluates billions of dependencies in milliseconds and performs automated root cause analysis, reducing mean time to resolution from hours to minutes. The platform also continuously adapts to dynamic environments — automatically discovering new services and mapping their relationships at startup — instead of relying on manually maintained configuration files that go stale in cloud-native architectures.
Dynatrace Intelligence combines causal AI with generative AI to deliver precise answers rather than raw data. The engine performs automated root cause analysis by correlating metrics, logs, distributed traces, user experience data, and topology context simultaneously — evaluating billions of dependency relationships in milliseconds. Dynatrace Intelligence also incorporates external data sources, including CI/CD pipeline events and cloud platform signals, so its AI models account for deployment changes and infrastructure shifts when diagnosing issues, not just internal telemetry.
Dynatrace AIOps continuously auto-discovers dynamic cloud environments with zero manual configuration required. When a new containerized process starts in Kubernetes, OneAgent detects it, maps its dependencies in Smartscape, and begins monitoring it immediately. This automatic topology awareness means that Dynatrace AIOps maintains accurate, comprehensive visibility even as services scale up, scale down, or redeploy across cloud regions — a critical capability for teams running microservices architectures where manual inventory management is not practical.
Dynatrace AIOps is built to work across heterogeneous environments. OpenPipeline ingests and normalizes data from cloud platforms, CI/CD systems, log sources, and third-party observability tools, so teams do not need to replace their existing toolchain to benefit from AI-powered analysis. Dynatrace also extends traditional metrics, logs, and traces with user experience data and real-time topology context, giving its AI models a richer signal set than monitoring platforms that treat these data types in isolation.
Dynatrace AIOps is designed for IT operations, platform engineering, SRE, and DevOps teams responsible for maintaining the reliability and performance of complex, cloud-native environments. Organizations such as BT, Experian, and the State of Michigan use Dynatrace AIOps to reduce unplanned downtime, improve service reliability, and shift from reactive firefighting to preventive operations. Any team that manages distributed applications across hybrid or multi-cloud infrastructure — and needs precise answers rather than more alert noise — is a strong fit for the platform.
Dynatrace AIOps enables teams to detect issues before they escalate into customer-impacting incidents, driving a shift from reactive to preventive operations. By automating root cause analysis and remediation workflows, the platform reduces unplanned downtime and frees engineers to focus on higher-value work rather than manual triage. Organizations that adopt Dynatrace AIOps typically see faster mean time to resolution, reduced alert fatigue, and improved service reliability across their full application and infrastructure estate.
Dynatrace was named a Leader in the Forrester Wave: AIOps Platforms, Q2 2025, earning the highest score in the "Current Offering" category and achieving the highest score possible across 17 evaluation criteria — including log management and data-driven automation. Dynatrace is also recognized as a Leader in the Gartner Magic Quadrant for Observability Platforms 2025, placing highest for Ability to Execute. These independent assessments reflect the platform's maturity across both AI-driven operations and the observability foundation that makes accurate AI analysis possible.
Dynatrace AIOps is designed for rapid deployment with minimal manual configuration. OneAgent automatically discovers and instruments hosts, containers, and cloud services at startup, while Smartscape builds a live topology map without requiring administrators to define relationships manually. Most environments begin generating AI-powered insights shortly after OneAgent installation, and dynamic cloud environments — including Kubernetes clusters — are continuously updated without ongoing configuration maintenance as workloads change.