Abstract: A system can receive data that includes a first subset and a second subset relating to a first application and a second application in a cloud computing environment. The system can determine differences between the first subset and the second subset by comparing the first subset and the second subset. The system can generate, by using the differences, quality metrics for a transformation from the first application to the second application in the cloud computing environment. The system can generate, by using historical data that includes historical first subsets and second subsets, a trend that represents a progression of the transformation. The system can determine, by using the differences, the quality metrics, and the trend, code in the second application that is likely to cause the differences. The system can generate a command that is executable in the cloud computing environment to automatically update the code in the second application.

Abstract: An event restraint-delivery computing system receives event data in a high-volume event stream from source computing systems. For each event data object in the high-volume event data stream, the event restraint-delivery computing system identifies at least one event data object subset associated with a respective recipient computing system. The event restraint-delivery computing system withholds the event data object subset from the respective recipient computing system based on restraint status data for the event data object subset. Based on a change in the respective restraint status data, such as a change indicating that the event data object subset is modified to fulfill a trigger criterion, the event restraint-delivery computing system provides the event data object subset to the respective recipient computing system. In addition, the respective recipient computing system performs a computing function based on event data in the event data object subset.

Abstract: A system can efficiently control access to an interactive computing environment using an entity profile. The system can receive entity data relating to a target entity. The entity data can include real-time data and external data. The system can extract features from the entity data. The system can generate signals based on the features. Each signal can include a subset of the features, and each signal can correspond to an amount of risk associated with the target entity. The system can generate, based on the signals, an entity profile. The system can provide a responsive message based on the entity profile that can be used to control access to an interactive computing environment.

Abstract: The techniques describe adaptive load-balancing based on traffic feedback from packet processors. In one example, a source virtual network node of the network device may determine whether a particular destination packet processor is or may become oversubscribed. For example, source packet processors of the source virtual network node may exchange feedback messages including traffic flow rate information. The source virtual network node may compute a total traffic flow rate and compare the total traffic flow rate with a bandwidth of the particular destination packet processor. In response to determining that the bandwidth of the destination packet processor is oversubscribed, the source virtual network node may update a forwarding plane data structure to reduce a likelihood of selecting the destination packet processor to which to forward packet flows.

Abstract: The techniques describe adaptive load-balancing based on traffic feedback from packet processors. In one example, a source virtual network node of the network device may determine whether a particular destination packet processor is or may become oversubscribed. For example, source packet processors of the source virtual network node may exchange feedback messages including traffic flow rate information. The source virtual network node may compute a total traffic flow rate and compare the total traffic flow rate with a bandwidth of the particular destination packet processor. In response to determining that the bandwidth of the destination packet processor is oversubscribed, the source virtual network node may update a forwarding plane data structure to reduce a likelihood of selecting the destination packet processor to which to forward packet flows.