Abstract: A method of executing workflows in virtual machines that have been deployed to implement virtual network functions of a network service, wherein the virtual machines are running in a plurality of data centers each having a cloud management server running a cloud computing management software to provision virtual infrastructure resources thereof for a plurality of tenants, includes upon receiving a request to execute a workflow along with a plurality of parameters including first and second parameters at a data center, identifying a virtual machine deployed in the data center, in which the workflow is to be executed based on the first parameter, designating one of a plurality of methods by which the workflow is to be executed in the virtual machine according to the second parameter, and issuing a command to the virtual machine to execute the workflow according to the designated method.

Abstract: An example method of upgrading remote sites of a distributed container orchestration system includes: deploying, by upgrade software executing in a data center remote from the remote sites, a second container orchestration (CO) control plane executing concurrently with a first CO control plane, the second CO control plane having a second version different than a first version of the first CO control plane, the first CO control plane initially managing all of the remote sites; upgrading, by the upgrade software, CO support software of a first portion of the remote sites; adding, by the upgrade software, the first portion of the remote sites to a second CO cluster managed by the second CO control plane; and removing, by the upgrade software, the first portion of the remote sites from a first CO cluster managed by the first CO control plane.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: A computer-implemented method, medium, and system for upgrade of telco node cluster running cloud-native network functions are disclosed. In one computer-implemented method, a worker node group that includes a plurality of worker nodes is determined in a container orchestration platform. A first node to upgrade is determined within the worker node group. All pods in the first node are deactivated by a high availability as a service (HAaaS) module. Standby pods in a second node are activated by the HAaaS module and as active pods. All network traffic associated with all the pods in the first node is migrated to the active pods. The first node is deleted from the worker node group. Hardware resources associated with running the first node are released. A third node is generated as a new worker node in the worker node group and uses the released hardware resources.

Abstract: Some embodiments provide a method that generates (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster. The method updates a configuration map of the worker node based on the node profile. The method uses a node configuration operator in a remote data center to configure the worker node based on the configuration map. The method uses a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile.

Abstract: Some embodiments provide a method that generating a host profile for deploying a first network function. the method uses a virtual machine configuration operator in a remote data center to configure one or more virtual machines implementing a workload cluster to perform the first network function based on the host profile. The method uses the virtual machine configuration operator to configure one or more virtual machines implementing a management cluster based on the host profile. The workload cluster is managed by the management cluster.

Abstract: One or more examples provide techniques for providing a multi-site wide area network in a cloud computing system. In an example, a method of providing a multi-site wide area network (WAN) in a cloud computing system includes: creating a plurality of sites; creating a compute profile in each of the plurality of sites, each compute profile having a compute cluster of virtual machines (VMs); creating a service mesh having the compute profile of each of the plurality of sites; and deploying an application to the service mesh.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: A method of executing workflows in virtual machines that have been deployed to implement virtual network functions of a network service, wherein the virtual machines are running in a plurality of data centers each having a cloud management server running a cloud computing management software to provision virtual infrastructure resources thereof for a plurality of tenants, includes upon receiving a request to execute a workflow along with a plurality of parameters including first and second parameters at a data center, identifying a virtual machine deployed in the data center, in which the workflow is to be executed based on the first parameter, designating one of a plurality of methods by which the workflow is to be executed in the virtual machine according to the second parameter, and issuing a command to the virtual machine to execute the workflow according to the designated method.

Abstract: One or more examples provide techniques for providing a multi-site wide area network in a cloud computing system. In an example, a method of providing a multi-site wide area network (WAN) in a cloud computing system includes: creating a plurality of sites; creating a compute profile in each of the plurality of sites, each compute profile having a compute cluster of virtual machines (VMs); creating a service mesh having the compute profile of each of the plurality of sites; and deploying an application to the service mesh.

Abstract: One or more embodiments provide techniques for migrating a virtual machine (VM) from a private data center to a cloud data center. A hybridity manager receives a request at the cloud data center to replicate a VM from the private data center on the cloud data center. The hybridity manager identifies a source network associated with the VM. The hybridity manager identifies whether there exists a stretched network associated with the source network of the VM. Responsive to determining that there is a stretched network associated with the source network of the VM, the hybridity manager replicates the VM on the stretched network without reconfiguring internet-protocol (IP) settings of the VM.

Abstract: One or more embodiments provide techniques for migrating virtual machines (VMs) from a private data center to a cloud data center. A hybrid cloud manager determines a scope of migration from the private data center to the cloud data center. The hybrid cloud manager groups each VM included in the scope of migration into one or more clusters. The hybrid cloud manager defines one or more migration phases. Each migration phase comprises a subset of the one or more clusters. The hybrid cloud manager generates a migration schedule based on at least the one or more migration phases. The hybrid cloud manager migrates the VMs from the private data center to the cloud data center in accordance with the migration schedule.

Abstract: A method of migrating a virtualized computing instance between source and destination virtualized computing systems includes executing a first migration workflow in the source virtualized computing system between a source host computer and a first mobility agent simulating a destination host, executing a second migration workflow in the destination virtualized computing system between a second mobility agent simulating a source host and a destination host computer, sending, as part of the first migration workflow, a configuration of the migrated virtualized computing instance to the destination virtualized computing system, translating, as part of the second migration workflow, infrastructure-dependent information in the configuration of the migrated virtualized computing instance, and transferring, during execution of the first and second migration workflows, migration data including the virtualized computing instance between the source host and the destination host over a network.

Abstract: Techniques for stateful connection optimization over stretched networks are disclosed. In one embodiment, traffic of virtual machines (VMs) that are live-migrated from a data center to a cloud is temporarily tromboned back to the data center to preserve active sessions. In such a case, a stretched network is created that includes a network in the data center and two stub networks in the cloud, one of which is route optimized such that traffic does not trombone back to the data center and the other which is not so optimized. A VM that is live migrated to the cloud is first attached to the unoptimized network so that traffic tromboning occurs. Thereafter, when the VM is powered off (e.g., during a reboot), in a maintenance mode, or in a quiet period, the VM is switched to the route optimized network.

Abstract: Techniques for upgrading virtual appliances in a hybrid cloud computing system are provided. In one embodiment, virtual appliances are upgraded by deploying the upgraded appliances in both a data center and a cloud, configuring the upgraded appliances to have the same IP addresses as original appliances, and disconnecting the original appliances from networks to which they are connected and connecting the upgraded appliances to those networks via the same ports previously used by the original appliances. In another embodiment, upgraded appliances are deployed in the data center and the cloud, but configured with new IP addresses that are different from those of the original appliances, and connections are switched from those of the original appliances to new connections with the new IP addresses. Embodiments disclosed herein permit virtual appliances to be upgraded or replaced with relatively little downtime so as to help minimize disruptions to existing traffic flows.

Abstract: Techniques for creating layer 2 (L2) extension networks are disclosed. One embodiment permits an L2 extension network to be created by deploying, configuring, and connecting a pair of virtual appliances in the data center and the cloud so that the appliances communicate via secure tunnels and bridge networks in the data center and the cloud. A pair of virtual appliances are first deployed in the data center and the cloud, and secure tunnels are then created between the virtual appliances. Thereafter, a stretched network is created by connecting a network interface in each of the virtual appliances to a respective local network, configuring virtual switch ports to which the virtual appliances are connected as sink ports that receive traffic with non-local destinations, and configuring each of the virtual appliances to bridge the network interface therein that is connected to the local network and tunnels between the pair of virtual appliances.

Abstract: Techniques for executing jobs in a hybrid cloud computing system. A job defines multiple states and tasks for transitioning between states. Jobs are passed between systems that execute different tasks via a message bus, so that the different tasks may be executed. A job manager controls execution flow of jobs based on a job descriptor that describes the job.

Abstract: Techniques are disclosed for deploying and maintaining appliances in a hybrid cloud computing system which includes an on-premise data center and a public cloud computing system configured to provide a common platform for managing and executing virtual workloads. Appliances to be deployed may include those required (or useful) for hybrid operations, including a cloud gateway appliance, a wide area network (WAN) optimizer, a layer 2 (L2) concentrator, and a mobility agent that handles virtual machine (VM) migration traffic. Such appliances are deployed first on the on-premise data center, and remote jobs are then sent to the public cloud to deploy the same appliances thereon. After deployment, the appliances deployed on the on-premise data center and corresponding appliances on the public cloud share configuration states and may further be wired together to communicate via secure encrypted tunnels.

Abstract: One or more embodiments provide techniques for migrating a virtual machine (VM) from a private data center to a cloud data center. A hybridity manager receives a request at the cloud data center to replicate a VM from the private data center on the cloud data center. The hybridity manager identifies a source network associated with the VM. The hybridity manager identifies whether there exists a stretched network associated with the source network of the VM. Responsive to determining that there is a stretched network associated with the source network of the VM, the hybridity manager replicates the VM on the stretched network without reconfiguring internet-protocol (IP) settings of the VM.