Observability and beyond for the modern cloud

Learn how to extend observability and get actionable answers powered by AI and automation.

Observability, when combined with AI and automation, holds the promise to deliver the actionable answers needed to ensure cloud native applications work perfectly and deliver the best experience and value possible to their users.

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What is Observability and why does it matter?

Observability is the extent to which the internal states of a system can be inferred from externally available data. An observable software system provides the ability to understand any issue that arises. Conventionally, the three pillars of observability data are metrics, logs and traces. Dynatrace extends this with UX and topology information. However, turning data into answers requires more than just an observable system.

Harness intelligent observability

Dynatrace advances observability with contextual information, artificial intelligence, and automation. Remove blind spots, resolve problems rapidly and deliver superior customer experience.

Intelligent observability turns data into answers.

  • Contextual information

    Extend the three pillars of observability with UX and topology data. Understand the full context of the observed data from user impact through entity interdependencies.

  • Causation-based AI

    Provide actionable answers to performance problems through a precise root-cause analysis.

  • Automatic discovery and instrumentation

    Ensure scalability and complete coverage in highly dynamic environments without manual configuration.

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Real-time topology mapping provides context across the full stack

Dynatrace captures and unifies the dependencies between all observability data in order to intelligently combine metrics, logs, traces and user experience data. This real-time entity topology map is the basis for intelligent observability.

Topology mapping illustration

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.

Causation based answers illustration

OpenTelemetry for better coverage

Dynatrace is teaming up with Google and 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.

Artwork opentelemetry

Dynatrace is a G2 Leader in observability

Dynatrace has been named a Leader among products in observability. These user ratings reflect the advantage of Dynatrace’s all-in-one-platform, which was made for IT, DevOps, and digital experience use cases, and built on a unified data model to enable increased automation and intelligence.
G2 crowd dynatrace leader badge

Real-world impacts of observability, intelligence, and automation

How does observability work in real life? Help Davis solve problems and discover how automatic and intelligent observability works for systems we all rely on daily.

City illustration
Dynatrace scales effortlessly in a dynamic microservice environment. Before, we had blind spots. With Dynatrace we see everything.
Reinhard Weber Senior Product Manager SAP CX