Dynatrace develops observability and security software for organizations running complex cloud-native, hybrid, and multicloud environments. Its platform brings together application, infrastructure, security, digital experience, and business data so teams can understand system behavior and business impact in a single environment. AI sits at the center of the offering, helping users move from raw telemetry to precise answers, root-cause analysis, and automated action.
Dynatrace is designed for modern software delivery at scale. It supports broad technology coverage across hyperscale clouds, Kubernetes, containers, serverless services, and open-source telemetry, while also giving customers the ability to analyze data in context, automate workflows, and build custom apps on top of platform data. This positions Dynatrace as a strategic platform for enterprises seeking to improve resilience, software quality, security, and digital performance.
Offerings, Capabilities, and Integrations
Dynatrace combines automatic data collection, context preservation, analytics, and automation in one platform. Its capabilities span observability, runtime application security, digital experience monitoring, business event analysis, and workflow automation, helping teams reduce manual troubleshooting and act faster across operations, engineering, and security use cases.
Integration is a core part of the value proposition. Dynatrace works across AWS, Microsoft Azure, Google Cloud, Kubernetes, and a broad range of enterprise technologies, and it supports OpenTelemetry alongside its own collection methods. The platform also enables customers to ingest third-party telemetry, security, and business data, extend the environment with apps and integrations, and operationalize insights through built-in automation and custom workflows.
Products and Services
- Dynatrace Intelligence: Dynatrace’s AI layer that combines predictive, causal, and generative AI to deliver precise answers, anomaly detection, root-cause analysis, and automation support across observability, security, and business use cases.
- AI Observability: Observability for AI and LLM-based systems that helps teams monitor models, prompts, vector databases, and AI-driven workflows for reliability, performance, explainability, and compliance.
- Application Observability: End-to-end application observability that unifies traces, metrics, logs, exceptions, and security signals to improve performance analysis and incident resolution.
- Application Security: Runtime application security capabilities for detecting vulnerabilities, protecting running applications, and improving security posture across modern application environments.
- Business Observability: Business-focused analytics that correlates technical telemetry with business events, customer journeys, and operational outcomes to support faster decision-making.
- Digital Experience: Digital experience monitoring for web and mobile channels, including real user monitoring, synthetic monitoring, session replay, and frontend-to-backend analysis.
- Infrastructure Observability: Infrastructure monitoring and observability for hybrid and cloud environments with automated discovery, context-rich analysis, and AI-assisted problem identification.
- Log Analytics: Grail-powered log management and analytics that lets teams ingest, retain, and analyze logs in context with other observability and security data.
- Software Delivery: Capabilities for release monitoring, quality gates, workflow automation, and delivery insights that help engineering teams ship software faster and more securely.
- Threat Observability: Security analytics and investigation capabilities that use runtime context and automation to detect, investigate, and respond to threats and cloud security events.
- Grail: Dynatrace’s data lakehouse for storing and analyzing observability, security, and business data with context-rich analytics and Dynatrace Query Language.
- OneAgent: Dynatrace’s single-agent technology for automatic discovery, activation, and instrumentation of applications, services, infrastructure, and dependencies.
- OpenPipeline: A data ingestion and processing capability for routing, transforming, enriching, and contextualizing observability, security, and business data from multiple sources.
- AppEngine: A platform capability for building and running custom apps that use Dynatrace data, AI, and platform services for specific operational and business use cases.
- AutomationEngine: Workflow automation technology that uses observability, security, and business data to automate remediation, notifications, governance, and delivery processes at scale.
Target Customers
Dynatrace primarily targets mid-sized to large enterprises and public sector organizations that operate complex digital estates, especially those with hybrid and multicloud architectures, cloud-native applications, and business-critical digital services. It is well suited to organizations that need a shared platform for observability, security, and automation rather than separate point tools.
Its buyers and users typically include platform engineering, site reliability engineering, DevOps, cloud operations, application development, security, and digital experience teams, along with business stakeholders who want technical data tied to customer journeys and operational outcomes. Dynatrace has visible traction across financial services, retail and e-commerce, software and digital services, manufacturing, travel, energy, telecommunications, and government environments.
Cloud Integrations and Marketplace
- AWS Marketplace: Dynatrace offers marketplace-based procurement on AWS through its Dynatrace Platform Subscription and related AWS Marketplace licensing options, supporting procurement for AWS deployments and private offers.
- Azure Marketplace: Dynatrace is available through Azure Marketplace as Azure Native Dynatrace Service, enabling purchase, onboarding, configuration, and management directly within the Azure portal with unified billing.
- Google Cloud Marketplace: Dynatrace is available in Google Cloud Marketplace, allowing customers to subscribe and purchase through Google Cloud while aligning billing with committed cloud spend.
Key People
- Rick McConnell: Chief Executive Officer
- Bernd Greifeneder: Chief Technology Officer and Founder
- Jim Benson: Chief Financial Officer
- Dan Zugelder: Chief Revenue Officer
- Steve Tack: Chief Product Officer
- Steve McMahon: Chief Customer Officer
- Nicole Fitzpatrick: Chief Legal Officer and Secretary
- Laura Heisman: Chief Marketing Officer
- Michael Rogers: Chief People Officer
- Colleen Kozak: Chief Transformation Officer
Key Facts
- Headquarters: Boston, Massachusetts, United States
- Employees: Approximately 5,200
- Annual Revenue: $1.699 billion
- Parent Company: None
- Subsidiaries: Dynatrace LLC; Dynatrace Global Holdings GmbH; Dynatrace Global Technology GmbH; Dynatrace International LLC
- Publicly Listed: NYSE: DT
Analyst Recognitions
- Gartner: Gartner Magic Quadrant for Observability Platforms (2025): Leader; positioned highest for Ability to Execute. Gartner Critical Capabilities for Observability Platforms (2025): Ranked #1 in 4 of 6 use cases. Gartner Magic Quadrant for Digital Experience Monitoring (2025): Leader; positioned furthest for Completeness of Vision.
- Forrester: The Forrester Wave: AIOps Platforms, Q2 2025: Leader; highest score in the Current Offering category.
