Abstract: A network device obtains information, associated with blacklisted domains, that includes blacklisted domain identifiers, and sinkhole server identifiers associated with the blacklisted domain identifiers. The network device obtains a set of rules that specify match criteria, associated with the blacklisted domains, that include source network addresses and/or destination network addresses for comparison to packet source network addresses and/or packet destination network addresses associated with incoming packets. The set of rules specify actions to perform based on a result of comparing the match criteria and the packet source network addresses and/or the packet destination network addresses for the incoming packets.

Abstract: A network device obtains information, associated with blacklisted domains, that includes blacklisted domain identifiers, and sinkhole server identifiers associated with the blacklisted domain identifiers. The network device obtains a set of rules that specify match criteria, associated with the blacklisted domains, that include source network addresses and/or destination network addresses for comparison to packet source network addresses and/or packet destination network addresses associated with incoming packets. The set of rules specify actions to perform based on a result of comparing the match criteria and the packet source network addresses and/or the packet destination network addresses for the incoming packets.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: A network device obtains information, associated with blacklisted domains, that includes blacklisted domain identifiers, and sinkhole server identifiers associated with the blacklisted domain identifiers. The network device obtains a set of rules that specify match criteria, associated with the blacklisted domains, that include source network addresses and/or destination network addresses for comparison to packet source network addresses and/or packet destination network addresses associated with incoming packets. The set of rules specify actions to perform based on a result of comparing the match criteria and the packet source network addresses and/or the packet destination network addresses for the incoming packets.

Abstract: A device may receive configuration information that identifies a set of server devices. The device may send, to the set of server devices, a request communication associated with determining a status of the set of server devices after receiving the configuration information. The device may process a response communication from the set of server devices after sending the request communication to the set of server devices. The request communication and the response communication may be associated with each other. The device may dynamically monitor the status of the set of server devices after processing the response communication. A first subset of the set of server devices may be monitored based on traffic from the first subset of the set of server devices. A second subset of the set of server devices may be monitored based on an additional response communication from the second subset of the set of server devices.

Abstract: In general, techniques are disclosed for automatic discovery and load balancing of virtual service instances of a plurality of cloud data centers within a Software Defined Networking (SDN) or a Network Functions Virtualization (NFV) environment. In one example, a global load balancing device (GLB) of a first cloud data center receives, from an SDN controller, address information for a first set of virtual service instances provided by the first cloud data center and a hostname of a domain for which to perform load balancing across the plurality of cloud data centers. The GLB device requests, from a domain name server (DNS) for the domain, address information for other sets of virtual service instances provided by other cloud data centers. Further, the GLB device applies a load balancing algorithm to direct network traffic to one or more of the virtual service instances provided by the plurality of cloud data centers.

Abstract: A network device obtains information, associated with blacklisted domains, that includes blacklisted domain identifiers, and sinkhole server identifiers associated with the blacklisted domain identifiers. The network device obtains a set of rules that specify match criteria, associated with the blacklisted domains, that include source network addresses and/or destination network addresses for comparison to packet source network addresses and/or packet destination network addresses associated with incoming packets. The set of rules specify actions to perform based on a result of comparing the match criteria and the packet source network addresses and/or the packet destination network addresses for the incoming packets.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: A device may be configured to store virtual identifier information indicating virtual identifiers associated with servers. The virtual identifier information may associate a quantity of virtual identifiers with each respective server of the servers based on a weight associated with the respective server. The device may receive an object identifier identifying an object to be processed by at least one of the servers. The device may calculate hash values for the virtual identifiers based on the object identifier. The device may determine a virtual identifier associated with a hash value that satisfies a particular condition. The device may select a server associated with the virtual identifier. The device may send an instruction to the server to process the object.

Abstract: A device may receive first data center information associated with first data centers in a first region. The device may receive second data center information associated with second data centers in a second region that is different from the first region. The device may generate a spanning tree based on the first data center information and the second data center information. The spanning tree may be associated with exchanging metrics associated with the first data centers and the second data centers, and may be used to exchange the metrics between the device and other devices included in the first data centers or the second data centers. The device may exchange the metrics with the other devices based on the spanning tree.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: A device may be configured to store virtual identifier information indicating virtual identifiers associated with servers. The virtual identifier information may associate a quantity of virtual identifiers with each respective server of the servers based on a weight associated with the respective server. The device may receive an object identifier identifying an object to be processed by at least one of the servers. The device may calculate hash values for the virtual identifiers based on the object identifier. The device may determine a virtual identifier associated with a hash value that satisfies a particular condition. The device may select a server associated with the virtual identifier. The device may send an instruction to the server to process the object.

Abstract: A device may be configured to store virtual identifier information indicating virtual identifiers associated with servers. The virtual identifier information may associate a quantity of virtual identifiers with each respective server of the servers based on a weight associated with the respective server. The device may receive an object identifier identifying an object to be processed by at least one of the servers. The device may calculate hash values for the virtual identifiers based on the object identifier. The device may determine a virtual identifier associated with a hash value that satisfies a particular condition. The device may select a server associated with the virtual identifier. The device may send an instruction to the server to process the object.