Abstract: A content distribution and optimization system that receives a plurality of event traffic bursts, generated by a first client computing device, in a first pod from a partition of a messaging bus. Messaging bus is partitioned based on a device identifier (ID) of the first client computing device and comprises a plurality of application launch timestamps. A filtering rule is configured for the device ID of the first client computing device for checking a rate limit of each event traffic burst. First set of event traffic bursts is blocked based on number of events exceeding a threshold value of rate limit of an event traffic burst generated by the first client computing device until a new fixed window is assigned. Event traffic communicated to a metrics aggregation controller is limited to pre-defined rate for the first client computing device. Enrichment of remaining second set of event traffic bursts is performed.

Abstract: Provided is a content distribution and optimization system that ingests raw event data from a client computing device at an entry point of a data pipeline service in accordance with a defined schema. Each payload of the raw event data comprises a first set of dimensional properties provided by the client computing device and/or a second set of dimensional properties added by the processor at the entry point. The raw event data is transmitted to a message bus pipeline for enrichment. A distinct use case is derived for each data consumer at a same time instant based on the enriched raw event data comprising same base event metrics associated with the base event. One or more payloads of the raw event data are transmitted to a stream-based messaging bus as raw video events. New metrics are derived based on raw video events for network selection and centralized alarming and reporting.

Abstract: Systems and methods are described for implementing a framework for testing on-demand code execution that is configured to be executed on coordinated devices. The testing framework allows the execution of tasks in a network based on-demand system. The resulting generation of an I/O file for accessing local resources can be intercepted and either processed via a handler process or transmitted to the local resource.

Abstract: Systems and methods are described for conducting data processing against a target data set in an on-demand code execution system. The on-demand code execution system can enable execution of user-provided executable code. The user-provided executable code is embedded in communications sent to a user. Each execution of the data processing code can process at least a portion of a data to determine content to be rendered in the communications. The resulting content is rendered and provided to the user.