Dynatrace is a global software intelligence company specializing in application performance monitoring (APM), digital experience monitoring (DEM), and cloud infrastructure observability. Its flagship Dynatrace® platform leverages artificial intelligence to deliver real-time insights into application performance, user experience and underlying infrastructure components. The solution is designed to support modern, hybrid cloud environments and microservices architectures, enabling organizations to detect, diagnose and resolve performance issues before they impact end users.
At the core of Dynatrace’s offering is the AI engine known as Davis®, which automatically analyzes trillions of dependencies and events across the entire technology stack. This continuous, automated approach replaces manual dashboards and rule-based tools with contextualized problem detection, root-cause analysis and predictive alerts. Key capabilities include full-stack observability, synthetic monitoring, log management and real-user monitoring, all delivered via a unified platform that scales to meet the demands of large enterprise environments.
Founded in 2005 as dynaTrace software and later acquired by Compuware in 2011, the company was spun off as an independent entity in 2014. Dynatrace completed its initial public offering in 2019 and is headquartered in Waltham, Massachusetts, with offices in North America, Europe and the Asia-Pacific region. Under the leadership of CEO Bill Brennan, appointed in mid-2020, the company has accelerated its shift toward cloud-native observability and expanded its global partner ecosystem.
Dynatrace serves customers across a wide range of industries, including financial services, retail, healthcare and telecommunications. Its platform integrates with major cloud providers such as Amazon Web Services, Microsoft Azure and Google Cloud, as well as container orchestration systems like Kubernetes. By delivering AI-powered insights and automated remediation, Dynatrace helps organizations drive digital transformation, optimize operational efficiency and improve the performance and reliability of their mission-critical applications.
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