Apple Inc.

Ritika Kalia

Amit K Vyas

Anca Andreea Chandra

Abhinav Pathak

Rohit Mundra

Anshul Dawra

Anthony R Newnam

Sanket V Bedare

Yue Li

Andreas C Bergen

Vincent B Yeh

Steve Brashear

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements. The user interfaces can provide an intelligent method for visualizing performance changes for significant changes in application versions.

Clustering techniques for third party application data

Growing community of inventors

San Jose, CA, United States of America

Ritika Kalia