Abstract: Systems, methods, and computer-readable storage mediums for performing specialized data logging on a client device are disclosed. Observability data pertaining to an API on a client device is captured. The observability includes, for each of one or more functions of the API, a number of times the function is used and a number of times each parameter of the function is used. The observability data pertaining to the API is communicated to a target based on a type of the observability data.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are system and method embodiments for live application instrumentation and event tracking. User interaction history is recorded on-device in a buffer to create a dataset of signals. The buffer of signals is then passed through various filter functions to qualify them as valuable data points or events for the application developers. Once qualified, events are passed onto an analytics system for further processing. Filter functions may be written in a single language, e.g., JavaScript, and deployed across multiple target platforms including web browsers and native mobile applications. The deployment of filter functions may be done over-the-air in real-time such that application developers do not have to rebuild and publish their applications.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Systems, methods, and computer-readable storage mediums for performing specialized data logging on a client device are disclosed. Observability data pertaining to an API on a client device is captured. The observability includes, for each of one or more functions of the API, a number of times the function is used and a number of times each parameter of the function is used. The observability data pertaining to the API is communicated to a target based on a type of the observability data.

Abstract: Described are systems, methods, and computer-readable storage mediums for processing an event that is detected on a client device. The event is processed at a first data stream corresponding to a first branch of an event processing timeline. The processing of the event at the first data stream includes performing initial processing and initial data enrichment of data associated with the event. After the initial processing and data enrichment, the event is processed at a second data stream corresponding to a second branch of the event processing timeline in parallel with the processing of the event at the first data stream. The processing of the event at the second data stream includes performing additional initial data processing and additional data enrichment of the data associated with the event. The additional initial data processing and the additional data enrichment is specific to a destination associated with the event.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are systems and methods for client side enrichment and transform via dynamic logic for analytics across various platforms for improved performance, features, and uses. Analytics data collected in client applications is transformed and enriched before being sent to the downstream pipeline using native code and logic bundled into the core application code. The additional logic specific to manipulation of analytics may be unbundled from client-side application code and still be executed on on-device to achieve the same result. The logic may be written in a single language, such as JavaScript, and run across all clients including web browser and mobile operating systems.

Abstract: Described are system and method embodiments for live application instrumentation and event tracking. User interaction history is recorded on-device in a buffer to create a dataset of signals. The buffer of signals is then passed through various filter functions to qualify them as valuable data points or events for the application developers. Once qualified, events are passed onto an analytics system for further processing. Filter functions may be written in a single language, e.g., JavaScript, and deployed across multiple target platforms including web browsers and native mobile applications. The deployment of filter functions may be done over-the-air in real-time such that application developers do not have to rebuild and publish their applications.

Abstract: In one embodiment, a video signal is displayed on a display screen in two or more resolutions. The video signal may be of a first resolution and the display screen may be set to a second resolution. In one embodiment, the video signal resolution is of a size that is greater than the size of the display screen resolution. The method includes displaying a first portion of the video signal in a first resolution in a first region of the display. A second portion of the video signal is then displayed in a second resolution in a second region of the display. The second resolution is a resolution that displays at least a portion of the video signal that would be off screen if the video signal is displayed in the first resolution. Accordingly, more of the signal can be displayed on the screen.

Abstract: An external display configuration approach is disclosed. In one embodiment, a method can include: using an interface of a portable computing device to define preferred settings, where the preferred settings designate preferences for a display that is external to the portable computing device; detecting in the portable computing device, a connection of an external display to the portable computing device; loading the preferred settings when capabilities of the external display support the preferred settings; and adjusting settings of the external display to match the preferred settings.

Abstract: In one embodiment, a video signal is displayed on a display screen in two or more resolutions. The video signal may be of a first resolution and the display screen may be set to a second resolution. In one embodiment, the video signal resolution is of a size that is greater than the size of the display screen resolution. The method includes displaying a first portion of the video signal in a first resolution in a first region of the display. A second portion of the video signal is then displayed in a second resolution in a second region of the display. The second resolution is a resolution that displays at least a portion of the video signal that would be off screen if the video signal is displayed in the first resolution. Accordingly, more of the signal can be displayed on the screen.