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.
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.
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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.
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.
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.
Dynatrace is a G2 Leader in observability
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.
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
- Observability and beyond for the modern cloud: Accomplish cloud-native observability. Master the unknown unknowns, because software needs to work perfectly.
- From observability to answers: How to get the answers you deserve by using AI-powered observability.
- Observability for Kubernetes:
Only Dynatrace provides observability into every Kubernetes layer from cloud infrastructure to workloads