Abstract: A network traffic computing system obtains on-router traffic data, on-server traffic data and application log data. A data processing system extracts features from the data sources, splits the extracted features based upon destination and source ports and performs component-level aggregation of the features. The aggregated data is surfaced for monitoring and traffic control.

Abstract: A service-specific DNS indicator or rule on a user computing system identifies a service-specific DNS server that can be accessed for service-specific DNS requests. The service-specific DNS server responds to the server-specific DNS request that is received directly from the user computing system, without accessing a service-independent recursive DNS service.

Abstract: A machine learning anomaly detection system receives a time series of metrics indicative of operational characteristics of a computing system architecture. A distribution of the metrics values is identified and a volume of metrics detected during a current evaluation period is identified. A dynamic anomaly detection threshold is generated, based upon the distribution and the volume of detected metrics. Metric values from the current evaluation period are compared to the dynamic anomaly detection threshold to determine whether the metric values in the current evaluation period are anomalous. If so, an action signal is generated.

Abstract: Various embodiments of the present technology generally relate to systems and methods for intelligent load shedding. More specifically, various embodiments of the present technology generally relate to intelligent load shedding of traffic based on current load state of target capacity. In some embodiments, a first server can send a capacity request indicating that the first server is nearing capacity and needs assistance with load. In response to the capacity request, an assistance request can be published to additional nearby servers. The servers can respond with a status update providing load and availability information. Based on the load and availability information (or other information such as latency), a second server from the additional servers can be selected and traffic can be routed away from the first server to the second server.

Abstract: Various embodiments of the present technology generally relate to systems and methods for intelligent load shedding. More specifically, various embodiments of the present technology generally relate to intelligent load shedding of traffic based on current load state of target capacity. In some embodiments, a domain name resolution request to translate a domain name into an Internet protocol (IP) address can be received at DNS server. A status of each of multiple scaling units mapped to the domain name can be determined. A set of IP addresses (e.g., four IP addresses) corresponding to a subset of the multiple scaling units closest to the requesting device with statuses indicating availability for new traffic can be identified. Then, the set of IP addresses can be sent to the requesting device. The requesting device can the select which IP address to use (e.g., randomly) to route the traffic.

Abstract: Various embodiments of the present technology generally relate to systems and methods for intelligent traffic management and routing. More specifically, various embodiments of the present technology generally relate to intelligent traffic management of cloud-based services based on predicted traffic and current load capacity of servers or scaling units. In some embodiments, traffic associated with one or more subnets can be monitored. Then using a record of historical traffic patterns and current traffic patterns, a prediction of future traffic can be generated. The predication can then be translated into an estimated load for one or more scaling units or servers. The current status of the one or more scaling units capable of handling traffic can be determined and future traffic can be routed based on the prediction generated and the status of the one or more scaling units.

Abstract: Various embodiments of the present technology generally relate to systems and methods for intelligent load shedding. More specifically, various embodiments of the present technology generally relate to intelligent load shedding of traffic based on current load state of target capacity. In some embodiments, a first server can send a capacity request indicating that the first server is nearing capacity and needs assistance with load. In response to the capacity request, an assistance request can be published to additional nearby servers. The servers can respond with a status update providing load and availability information. Based on the load and availability information (or other information such as latency), a second server from the additional servers can be selected and traffic can be routed away from the first server to the second server.

Abstract: Various embodiments of the present technology generally relate to systems and methods for intelligent load shedding. More specifically, various embodiments of the present technology generally relate to intelligent load shedding of traffic based on current load state of target capacity. In some embodiments, a domain name resolution request to translate a domain name into an Internet protocol (IP) address can be received at DNS server. A status of each of multiple scaling units mapped to the domain name can be determined. A set of IP addresses (e.g., four IP addresses) corresponding to a subset of the multiple scaling units closest to the requesting device with statuses indicating availability for new traffic can be identified. Then, the set of IP addresses can be sent to the requesting device. The requesting device can the select which IP address to use (e.g., randomly) to route the traffic.