Abstract: A congested network link is identified. Applications that are contributing to the congestion are also identified. The contribution of each of the identified applications to the congestion is then determined in order to determine whether the application's usage of the network should be throttled. A control signal is generated in order to indicate to the application that it is to perform an application-specific throttling operation to reduce the network bandwidth consumed by the application. If the application-specific throttling does not sufficiently reduce network congestion, a more aggressive throttling operation is performed.

Abstract: A congested network link is identified. Applications that are contributing to the congestion are also identified. The contribution of each of the identified applications to the congestion is then determined in order to determine whether the application's usage of the network should be throttled. A control signal is generated in order to indicate to the application that it is to perform an application-specific throttling operation to reduce the network bandwidth consumed by the application. If the application-specific throttling does not sufficiently reduce network congestion, a more aggressive throttling operation is performed.

Abstract: 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.

Abstract: 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.

Abstract: The techniques described herein describe diffusing packets through multipath inter-data center networks to identify faulty network apparatuses therein. In an implementation, a method of diffusing packets through a multipath inter-data center network to identify a faulty network apparatus in a source data center is disclosed. The method includes diffusing packets through various paths of a network fabric. Diffusing the packets includes sending out bursts of packets with varying packet header parameters to a set of machines in one or more target data centers. The method further include monitoring packet drops from the bursts of packets, issuing tracerts for each of the packet drops to identify corresponding failed routes, and triangulating the failed routes to identify the faulty network apparatus.

Abstract: The techniques described herein describe diffusing packets through multipath inter-data center networks to identify faulty network apparatuses therein. In an implementation, a method of diffusing packets through a multipath inter-data center network to identify a faulty network apparatus in a source data center is disclosed. The method includes diffusing packets through various paths of a network fabric. Diffusing the packets includes sending out bursts of packets with varying packet header parameters to a set of machines in one or more target data centers. The method further include monitoring packet drops from the bursts of packets, issuing tracerts for each of the packet drops to identify corresponding failed routes, and triangulating the failed routes to identify the faulty network apparatus.

Abstract: The techniques described herein describe diffusing packets through multipath inter-data center networks to identify faulty network apparatuses therein. In an implementation, a method of diffusing packets through a multipath inter-data center network to identify a faulty network apparatus in a source data center is disclosed. The method includes diffusing packets through various paths of a network fabric. Diffusing the packets includes sending out bursts of packets with varying packet header parameters to a set of machines in one or more target data centers. The method further include monitoring packet drops from the bursts of packets, issuing tracerts for each of the packet drops to identify corresponding failed routes, and triangulating the failed routes to identify the faulty network apparatus.

Abstract: The techniques described herein describe diffusing packets through multipath inter-data center networks to identify faulty network apparatuses therein. In an implementation, a method of diffusing packets through a multipath inter-data center network to identify a faulty network apparatus in a source data center is disclosed. The method includes diffusing packets through various paths of a network fabric. Diffusing the packets includes sending out bursts of packets with varying packet header parameters to a set of machines in one or more target data centers. The method further include monitoring packet drops from the bursts of packets, issuing tracerts for each of the packet drops to identify corresponding failed routes, and triangulating the failed routes to identify the faulty network apparatus.