Abstract: This disclosure describes an event bus system that, as part of an inter-network facilitation system, can generate and distribute network events for self-service event requests utilizing a network event data streaming platform. For example, the disclosed systems can utilize a network event data streaming platform that includes specialized network components, such as a batch distribution data lake and an event fanning platform. The disclosed systems can utilize the batch distribution data lake to distribute long-retention network events for high-latency event requests. Additionally, the disclosed systems can utilize the event fanning platform to generate low-latency fanned data streams from short-retention network events for low-latency event requests.

Abstract: This disclosure describes an event bus system that, as part of an inter-network facilitation system, can generate and distribute network events for self-service event requests utilizing a network event data streaming platform. For example, the disclosed systems can utilize a network event data streaming platform that includes specialized network components, such as a batch distribution data lake and an event fanning platform. The disclosed systems can utilize the batch distribution data lake to distribute long-retention network events for high-latency event requests. Additionally, the disclosed systems can utilize the event fanning platform to generate low-latency fanned data streams from short-retention network events for low-latency event requests.

Abstract: This disclosure describes an event fanning system that, as part of an inter-network facilitation system, can generate and provide consumer application data streams using an event fanning platform. For example, the disclosed systems can utilize an event fanning platform to generate application-specific data streams for providing requested network events. The disclosed systems can further tie a consumer application data stream to a lifecycle of the consumer application requesting one or more network events included within the data stream. Additionally, the disclosed systems can utilize the event fanning platform to generate updated consumer application data streams based on modifications to consumer applications.

Abstract: This disclosure describes an event bus system that, as part of an inter-network facilitation system, can generate and distribute network events for self-service event requests utilizing a network event data streaming platform. For example, the disclosed systems can utilize a network event data streaming platform that includes specialized network components, such as a batch distribution data lake and an event fanning platform. The disclosed systems can utilize the batch distribution data lake to distribute long-retention network events for high-latency event requests. Additionally, the disclosed systems can utilize the event fanning platform to generate low-latency fanned data streams from short-retention network events for low-latency event requests.

Abstract: This disclosure describes a schema modification system that, as part of an inter-network facilitation system, can intelligently generate and update payload schemas for maintaining compatibility across changing network components. For example, the disclosed systems utilize custom tooling to detect changes in component versions and to update payload schemas to translate digital payloads between components that require different payload formats (e.g., due to an update to one component or another). In some cases, the disclosed systems can utilize a code generator to generate a payload conversion code from a payload schema and can implement the payload conversion code to convert a digital payload from a source format to a target format (e.g., to pass from a source component to a target component). The disclosed systems can also utilize schema annotations that accompany a payload schema to perform various functions, including removing sensitive information and identifying third-party systems.

Abstract: A scalable digital fleet management system may be leveraged by organizations with high-volume high-value assets. In such scenarios, predictive analytics for tool health enables decision-making in terms of planning, maintenance, end-of-life replacement, tool selection, etc. An end-to-end solution spans all the way from gathering live tool data to visual representations of tool health. Long-term fleet management can be accomplished through a consistent evaluation of the fleet performance profile. Predictive analysis can anticipate maintenance needs and resultant downtimes and help improve scheduling of procurement and distribution of the fleet. Framework deployment focuses on topics related to developing an end-to-end solution architecture, scaling, and deploying it on demand, and maintaining it going forward.