Intelligent observability for the modern cloud
Learn how to extend observability and get actionable answers powered by AI and automation
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.
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.
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.
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.
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.
Cloud Done Right Whitepaper
7 criteria for unified observability and security at scale
- 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
- Observability with OpenTelemetry:
Dynatrace is a core contributor to the OpenTelemetry project providing highly scalable solutions.
- Open source observability frameworks:
Dynatrace adds scalability and AI to StatsD, Telegraf and Prometheus
- Read our blog post to find out what observability means for Dynatrace.