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.