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.

Intelligent observability for the modern cloud

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

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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.

Explore observability with Davis

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, security 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.

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, user experience and security data. This real-time entity topology map is the basis for intelligent observability.

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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.

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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.

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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

The Dynatrace OneAgent automatically and instantly detects all applications, containers, services, processes, and infrastructure upon start-up.
Auto-instrumentation

System components are instrumented automatically with zero configuration or code change, with high-fidelity data observability beginning immediately.
Auto-baselining

Dynatrace’s smart baselining automatically learns “normal” performance and adapts dynamically as the environment changes.
Auto-updates

For enterprise-grade maintainability, the OneAgent automatically and securely updates throughout the entire environment.