AppDynamics announced significant enhancements to its Application Analytics solution that make it an essential tool to support software-defined enterprises planning for or in the midst of digital transformation.
The updated Application Analytics provides the deep, timely, actionable insights needed to proactively manage user experience, and to accurately correlate application performance with business metrics — two essential pillars for the success of digitally driven businesses.
The enhancements are part of the Winter ’16 Release, an overall update of the AppDynamics Application Intelligence Platform, which uniquely supports application performance and analytics use cases.
Application Analytics is a rich and extensible data platform designed to directly ingest and analyze data from a range of sources, including AppDynamics Mobile and Browser Real-User Monitoring, APM, business transactions, and logs, as well as other sources via API. The platform auto-correlates business transactions and log data from multiple sources to provide intelligent end-to-end insight into the digital user journey, and the corresponding impact on business metrics. In addition to its own extensive set of visualization tools, Application Analytics can export data via API for use with other tools.
“Today’s applications generate a lot of data — user interactions, business transactions, logs, custom data,” says Kalyan Ramanathan, VP of Product Marketing for AppDynamics. “But that data has to be stitched together to create the kinds of personalized, contextual experiences that users today expect. Businesses need that data and the insights it provides so they can guide users successfully through their digital journey.
“In a nutshell, Application Analytics connects the dots in real time between user behavior, application performance, and business metrics so that enterprises can take the actions needed to meet their business goals.”
Application Analytics makes data accessible via an SQL-like dynamic query (AppDynamics Query Language - ADQL) language that enables advanced, fast, nested data searches across multiple datasets, and supports rapid ad hoc analyses in real time. And it makes the insights compelling for any digital transformation initiative via a suite of out-of-the-box widgets and interactive custom dashboards. New reporting capabilities also make it fast and easy to share results with other team members and senior management.
Rounding out the list of major updates to Application Analytics is role-based security control that enhances security for sensitive business and customer data, while at the same time simplifying access for users within the context of their permissions.
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