Dynatrace captures and unifies the dependencies between all observability data in order to intelligently combine metrics, logs, traces, user experience, and security data. This real-time entity topology map is the basis for intelligent observability.
Causation-based AI delivers precise answers
Davis®, Dynatrace’s AI, automates anomaly root-cause analysis, even in highly dynamic microservice environments. Traditional monitoring tools offer little beyond dashboard visualizations, forcing manual root-cause analysis. Dynatrace is the only platform that takes the burden off human operators, by providing precise answers.
| Better coverage
Dynatrace is teaming up with Google Microsoft and others on the OpenTelemetry project to shape the future of observability. OpenTelemetry will serve as an additional data source that extends the breadth of cloud observability, expanding the broad reach of what Dynatrace already automatically collects and ingests into Davis, its explainable AI engine.
Automation enables scalability
Instead of developers having to manually instrument their code, Dynatrace automates data collection and analysis. This automation enables scalability and ensures complete observability, even with microservices that dynamically scale across tens of thousands of hosts in a multi-cloud environment.
Auto-discovery | Auto-instrumentation
Auto-baselining | Auto-updates
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