Dynatrace
By Dynatrace
Dynatrace is an AI-powered, full-stack observability and application performance monitoring (APM) platform that automatically maps and monitors applications, infrastructure, and user experience.
Definition
Dynatrace is an AI-powered, full-stack observability and application performance monitoring (APM) platform that automatically maps and monitors applications, infrastructure, and user experience.
Overview
Dynatrace is one of the major enterprise observability platforms, distinguished by an emphasis on automatic instrumentation and topology mapping rather than manual configuration. Its AI engine, marketed as Davis, is designed to help teams detect incidents and pinpoint root causes automatically rather than requiring engineers to correlate dashboards by hand. A lightweight agent called OneAgent is deployed on hosts, containers, or cloud services, where it automatically discovers running processes, their dependencies, and traffic patterns to build a continuously updated topology map. From there, Dynatrace collects metrics, distributed traces, logs, and real-user and synthetic monitoring data in a single platform. It's commonly deployed alongside cloud-native stacks running on Kubernetes and microservices, and is frequently compared with tools like New Relic, Prometheus, and Grafana. Dynatrace increasingly interoperates with OpenTelemetry for vendor-neutral instrumentation alongside its own agent-based approach.
Key Features
- OneAgent automatic instrumentation with minimal manual configuration
- AI-driven root-cause analysis (Davis AI engine) for incident detection
- Automatic, continuously updated topology mapping of services and dependencies
- Full-stack visibility: infrastructure metrics, distributed tracing, and logs in one platform
- Real-user monitoring (RUM) and synthetic monitoring for end-user experience
- Kubernetes and cloud-native environment monitoring
- Interoperability with OpenTelemetry for vendor-neutral instrumentation