Facebook, Inc.

Weizhe Shi

Michael Dudley Johnson

Xiaoliang Wei

Mukund Narasimhan

Herry Sutanto

Yan Yu

Itamar Rosenn

Alex Bain

Todd Krabach

Yang Gao

Jackson Gabbard

Eric Ruth

Lior Berry

Hsueh-Fang Cheng

Xiao Meng Zhang

Yingyi Liang

Gang Liu

Amir Rosenfeld

Jian Gong

Rollin Su

Lei Lei

In one embodiment, a method includes, by a second application that is a member of a family of applications and is installed on a client device, broadcasting a communication that includes a second hashed installation identifier and a second timestamp, the second timestamp indicating a time that the second application was installed on the client device, and receiving a response from a first application, wherein the first application is a member of the family of applications, and wherein the response includes a first hashed installation identifier and a first timestamp indicating a time that the first application was installed on the client device. The method may also include the second application comparing the second timestamp to the first timestamp, and if the first application was installed on the client device before the second application, the second application may save the first hashed installation identifier as a family identifier.

Installation identification for family applications

In one embodiment, a method includes, by one or more server computing devices, receiving state data of a client computing device. The state data includes event data indicating events generated by or occurring at the client computing device and context data associated with the event data. The context data indicates device states of the client computing device that each coincide with one or more of the events and indicate a context of the one or more of the events. The method also includes, by one or more server computing devices, ordering the events and the device states in the event and context data into a state-data-review structure and analyzing the state-data-review structure to generate one or more recommendations on operation of the client computing device.

Device state capture and analysis

The embodiments are related to a log framework for controlling data sampling at client devices based on a lifecycle of a product. A product can be an application executing on a client device and/or a feature of the application. The sampling of data depends on a lifecycle of the product. For example, data may be sampled at a higher rate during a launch phase of the product, e.g., as more data may be required to analyze the behavior of the product, and then may be decreased to a lower rate when the product matures. Similarly, for a product that is in an experiment phase for a specified duration, data may be logged during the experiment phase, e.g., at a constant sampling rate, and then the logging may be terminated at the expiry of the experiment phase, thereby saving resources, e.g., processing capacity, storage capacity of the client device.

Controlling data logging based on a lifecycle of a product

The disclosure is related to a framework that enables server-side controlling of data sampling at client devices. An application executing on a client device samples data related to various aspects of the application, generates a log file containing the sample data and transmits the log file to the server. The application samples the data based on specified criteria, e.g., specified events, specified actions of a user of the client device, at a specified sampling rate. The framework enables controlling the sampling of such data from the server. The framework can be used to configure various parameters of the sampling, including a number of users to be sampled, a set of events to be sampled, a sampling rate for the events, etc. After the configuration is determined, the server transmits a configuration file to the client device, which performs the sampling based on the configuration in the configuration file.

Server-side control of client-side data sampling

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Mountain View, CA, United States of America

Weizhe Shi