Abstract: Some embodiments provide a novel method for load balancing data messages that are sent by a source compute node (SCN) to one or more different groups of destination compute nodes (DCNs). In some embodiments, the method deploys a load balancer in the source compute node's egress datapath. This load balancer receives each data message sent from the source compute node, and determines whether the data message is addressed to one of the DCN groups for which the load balancer spreads the data traffic to balance the load across (e.g., data traffic directed to) the DCNs in the group. When the received data message is not addressed to one of the load balanced DCN groups, the load balancer forwards the received data message to its addressed destination. On the other hand, when the received data message is addressed to one of load balancer's DCN groups, the load balancer identifies a DCN in the addressed DCN group that should receive the data message, and directs the data message to the identified DCN.

Abstract: Some embodiments provide a novel method for load balancing data messages that are sent by a source compute node (SCN) to one or more different groups of destination compute nodes (DCNs). In some embodiments, the method deploys a load balancer in the source compute node's egress datapath. This load balancer receives each data message sent from the source compute node, and determines whether the data message is addressed to one of the DCN groups for which the load balancer spreads the data traffic to balance the load across (e.g., data traffic directed to) the DCNs in the group. When the received data message is not addressed to one of the load balanced DCN groups, the load balancer forwards the received data message to its addressed destination. On the other hand, when the received data message is addressed to one of load balancer's DCN groups, the load balancer identifies a DCN in the addressed DCN group that should receive the data message, and directs the data message to the identified DCN.

Abstract: Some embodiments provide a novel method for load balancing data messages that are sent by a source compute node (SCN) to one or more different groups of destination compute nodes (DCNs). In some embodiments, the method deploys a load balancer in the source compute node's egress datapath. This load balancer receives each data message sent from the source compute node, and determines whether the data message is addressed to one of the DCN groups for which the load balancer spreads the data traffic to balance the load across (e.g., data traffic directed to) the DCNs in the group. When the received data message is not addressed to one of the load balanced DCN groups, the load balancer forwards the received data message to its addressed destination. On the other hand, when the received data message is addressed to one of load balancer's DCN groups, the load balancer identifies a DCN in the addressed DCN group that should receive the data message, and directs the data message to the identified DCN.

Abstract: Some embodiments provide a novel method for load balancing data messages that are sent by a source compute node (SCN) to one or more different groups of destination compute nodes (DCNs). In some embodiments, the method deploys a load balancer in the source compute node's egress datapath. This load balancer receives each data message sent from the source compute node, and determines whether the data message is addressed to one of the DCN groups for which the load balancer spreads the data traffic to balance the load across (e.g., data traffic directed to) the DCNs in the group. When the received data message is not addressed to one of the load balanced DCN groups, the load balancer forwards the received data message to its addressed destination. On the other hand, when the received data message is addressed to one of load balancer's DCN groups, the load balancer identifies a DCN in the addressed DCN group that should receive the data message, and directs the data message to the identified DCN.

Abstract: Some embodiments provide novel inline switches that distribute data messages from source compute nodes (SCNs) to different groups of destination service compute nodes (DSCNs). In some embodiments, the inline switches are deployed in the source compute nodes datapaths (e.g., egress datapath). The inline switches in some embodiments are service switches that (1) receive data messages from the SCNs, (2) identify service nodes in a service-node cluster for processing the data messages based on service policies that the switches implement, and (3) use tunnels to send the received data messages to their identified service nodes. Alternatively, or conjunctively, the inline service switches of some embodiments (1) identify service-nodes cluster for processing the data messages based on service policies that the switches implement, and (2) use tunnels to send the received data messages to the identified service-node clusters.

Abstract: A hybrid computing system includes an on-premise data center and a cloud computing system. To connect between an organization's multiple data centers, a gateway may instead utilize the connections between the private data center and the cloud computing system rather than a direct connection to the other of the organizations' data centers.

Abstract: An example provides a method of creating an instance of a virtual machine in a cloud computing system that includes: accepting a network connection at a server resource in the cloud computing system from a first client resource in a first virtualized computing system to transfer a first virtual machine; receiving first signatures for guest files of the first virtual machine from the first client resource; checking the first signatures against a content library in the cloud computing system to identify first duplicate files of the guest files that match first base files stored in the content library, and to identify first unique files of the guest files; instructing the first client resource such that a response to the instructing will send the first unique files to the exclusion of the first duplicate files; and generating an instance of the first virtual machine in the cloud computing system having the first base files and the first unique files.

Abstract: Some embodiments provide a novel method for load balancing data messages that are sent by a source compute node (SCN) to one or more different groups of destination compute nodes (DCNs). In some embodiments, the method deploys a load balancer in the source compute node's egress datapath. This load balancer receives each data message sent from the source compute node, and determines whether the data message is addressed to one of the DCN groups for which the load balancer spreads the data traffic to balance the load across (e.g., data traffic directed to) the DCNs in the group. When the received data message is not addressed to one of the load balanced DCN groups, the load balancer forwards the received data message to its addressed destination. On the other hand, when the received data message is addressed to one of load balancer's DCN groups, the load balancer identifies a DCN in the addressed DCN group that should receive the data message, and directs the data message to the identified DCN.

Abstract: A method of transferring a virtual machine between a virtualized computing system and a cloud computing system includes determining that a virtual machine is to be transferred from a virtualized computing system to a cloud computing system and determining a connection between a first resource in the virtualized computing system and a second resource in the cloud computing system. Files that enable implementation of the virtual machine at the virtualized computing system and identified, as are file portions of the files for transfer from the virtualized computing system to the cloud computing system. At least one compliance check is executed on each of the file portions using at least one compliance checker. Each of the file portions that fails a compliance check is blocked from being maintained in the cloud computing system.

Abstract: A method of transferring a virtual machine between a virtualized computing system and a cloud computing system includes determining that a virtual machine is to be transferred from a virtualized computing system to a cloud computing system and determining a connection between a first resource in the virtualized computing system and a second resource in the cloud computing system. Files that enable implementation of the virtual machine at the virtualized computing system and identified, as are file portions of the files for transfer from the virtualized computing system to the cloud computing system. At least one compliance check is executed on each of the file portions using at least one compliance checker. Each of the file portions that fails a compliance check is blocked from being maintained in the cloud computing system.

Abstract: A system and method for backing up workloads for multiple tenants of a cloud computing system are disclosed. A method of backing up workloads for multiple tenants of a computing system includes triggering an archival process according to an archival policy set by a tenant, and executing the archival process by reading backup data of the tenant stored in a backup storage device of the computer system and transmitting the backup data to an archival store designated in the archival policy, and then deleting or invalidating the backup data stored in the backup storage device.

Abstract: Techniques disclosed herein permit logical topologies of datacenters to be automatically learned and re-created in the cloud. In one embodiment, a datacenter landscape is determined based on numbers of hops from nodes in a datacenter to a wide area network (WAN)-facing node. Such a datacenter landscape may then be re-created in the cloud. In another embodiment, virtual appliances are deployed using templates with user-tunable parameters. What would have been set up manually in a physical datacenter, such as connecting a new router to other devices, is then simplified to adjusting parameters of the template to specify, e.g., that the router is a routed hop rather than a bump in the wire, with the router then being automatically deployed in the specified manner.

Abstract: Some embodiments provide a novel method for load balancing data messages that are sent by a source compute node (SCN) to one or more different groups of destination compute nodes (DCNs). In some embodiments, the method deploys a load balancer in the source compute node's egress datapath. This load balancer receives each data message sent from the source compute node, and determines whether the data message is addressed to one of the DCN groups for which the load balancer spreads the data traffic to balance the load across (e.g., data traffic directed to) the DCNs in the group. When the received data message is not addressed to one of the load balanced DCN groups, the load balancer forwards the received data message to its addressed destination. On the other hand, when the received data message is addressed to one of load balancer's DCN groups, the load balancer identifies a DCN in the addressed DCN group that should receive the data message, and directs the data message to the identified DCN.

Abstract: A method is provided to control the flow of packets within a system that includes one or more computer networks comprising: policy rules are provided that set forth attribute dependent conditions for communications among machines on the one or more networks; machine attributes and corresponding machine identifiers are obtained for respective machines on the networks; and policy rules are transformed to firewall rules that include machine identifiers of machines having attributes from among the obtained machine attributes that satisfy the attribute dependent policy rules.

Abstract: A method of transferring a virtual machine between a virtualized computing system and a cloud computing system includes determining that a virtual machine is to be transferred from a virtualized computing system to a cloud computing system and determining a connection between a first resource in the virtualized computing system and a second resource in the cloud computing system. Files that enable implementation of the virtual machine at the virtualized computing system and identified, as are file portions of the files for transfer from the virtualized computing system to the cloud computing system. At least one compliance check is executed on each of the file portions using at least one compliance checker. Each of the file portions that fails a compliance check is blocked from being maintained in the cloud computing system.

Abstract: A method is provided to control the flow of packets within a system that includes one or more computer networks comprising: policy rules are provided that set forth attribute dependent conditions for communications among machines on the one or more networks; machine attributes and corresponding machine identifiers are obtained for respective machines on the networks; and policy rules are transformed to firewall rules that include machine identifiers of machines having attributes from among the obtained machine attributes that satisfy the attribute dependent policy rules.

Abstract: A hybrid computing system includes an on-premise data center and a cloud computing system. To connect between an organization's multiple data centers, a gateway may instead utilize the connections between the private data center and the cloud computing system rather than a direct connection to the other of the organizations' data centers.

Abstract: A cloud computing system may include multiple cloud data centers. A gateway may establish connections between a cloud providers' multiple data centers using knowledge about the types of applications workloads executing within the cloud computing system, and may be further based on determines policies indicating priorities for routing traffic for the application workloads.

Abstract: An example method of optimizing connectivity between data centers in a hybrid cloud system having a first data center managed by a first organization and a second data center managed by a second organization, the first organization being a tenant in the second data center. The method includes probing a wide area network (WAN) with test packets by varying an internet protocol (IP) flow tuple of the test packets across a set of IP flows. The method includes identifying a plurality of paths between a gateway of the first data center and another gateway of the second data center associated with the set of IP flows. The method further includes selecting an IP flow from the set of IP flows for an application executing in the first data center. The method further includes establishing a path-optimized connection between the gateway and the other gateway through the WAN having the selected IP flow for use by the application.

Abstract: One or more examples provide a method of transferring a virtual machine between a virtualized computing system and a cloud computing system that includes: establishing connection between a first resource in the virtualized computing system and a second resource in the cloud computing system to transfer files that implement the virtual machine from the first resource to the second resource; accessing, for transmission over the connection, data blocks on a storage device in the virtualized computing system that include the files; executing at least one compliance check on each of the data blocks using at least one compliance checker; and preventing each of the data blocks that fails a compliance check from being maintained in the cloud computing system.