Microsoft Technology Licensing, LLC

Rajesh Kumar Maskara

Bradley David Rutkowski

Todd Carlyle Luttinen

Gregory Irving Thiel

Kushal Suresh Narkhede

Saraswathy Srinivasan

Mathrubootham Janakiraman

Srinivasachakrapani Kotipalli

Saurabh Vats

Irina Andreea Rosoiu

Malvika Modi

Fangwen Yu

Liting Zhao

Zhenguo Yang

Xuelin Chen

The present application describes a detect, alert and recovery system for various cloud-based and/or network-based services. The detect, alert and recovery system receives network performance data associated with a particular namespace from various network information sources. The network performance data may be aggregated based on various scopes. The aggregated data is then analyzed to determine whether an anomaly exists. If an anomaly exists, the detect, alert and recovery system may cause the performance of various actions in order to address the anomaly.

Triggering recovery actions based on corroborating anomalies

A method and system for managing domain name system (DNS) name servers using virtual name servers is disclosed. A plurality of virtual name servers are mapped to a plurality of actual name servers of the DNS. Each actual name server stores at least one record identifying a domain and an Internet Protocol (IP) address of a computer hosting that domain. Information is received from a monitoring service computer identifying which actual name servers are unhealthy and which actual name servers are healthy. Based on this information, the mapping of each virtual name server that is mapped to an unhealthy actual name server is updated to map to one of the healthy actual name servers.

Name server management of domain name systems using virtual name servers

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.

Near real-time computation of scaling unit's load and availability state

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.

Intelligent load shedding of traffic based on current load state of target capacity

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Redmond, WA, United States of America

Rajesh Kumar Maskara