Abstract: This disclosure is directed to a simulation system that verifies functionality and performance of an automated telecommunication cloud platform (“TCP”) which is used to configure hosts of cell sites and a mobile core of a 5G cellular network. The mock hosts are created with a required virtualization platform inventory of objects for implementing a 5G cellular network and registers the mock hosts with a mock centralized server management platform (“mock VC”). The mock hosts are used to simulate hosts of cell sites and a mobile core of a 5G cellular network using features of the TCP. Scale tests are used to verify functionality and performance of the TCP are performed on the mock hosts without any changes to the TCP.

Abstract: This disclosure is directed to processes and systems for generating data packets in a smart network interface controller (“SNIC”) of a host server computer. A smart packet generator (“spktgen”) controller receives a user command that contains directions for how packets are generated in the SNIC. The command is sent to a spktgen daemon that runs in a control core of the multicore processor. The spktgen daemon extracts the type of packet generator and packet parameters recorded in the command and sends the type of packet generator and packet parameters to a spktgen engine that also runs in the control core. The spktgen engine creates threads in each of one or more data cores of the multicore processor. Each thread comprises instructions for generating data packets from the data generated by data generating sources of the host in accordance with the type of packet generator and the packet parameters.

Abstract: A method for resumeable snapshot deletion is provided. A method for deletion of nodes maintained in an ordered data structure for a first snapshot includes processing the nodes maintained in the ordered data structure according to a defined order, setting a node path cursor with a pointer to a node and an indication of the deletion of the node; storing the node path cursor in a persistent storage; and during processing of the nodes: detecting a failure; after the failure, checking the pointer of the node path cursor; and resuming processing of the nodes starting from the first node indicated by the pointer.

Abstract: System and computer-implemented method for autoscaling clusters of host computers in a cloud-based computing environment uses an aggressive scale-in resource utilization threshold that is greater than a corresponding standard scale-in resource utilization threshold to search for any target clusters of host computers in response to a scale-out recommendation for a cluster of host computers to select a candidate cluster of host computers when the number of available reserved resource instance for the cloud-based computing environment is below a predefined value. A scale-in operation is executed on the candidate cluster of host computers to remove an existing resource instance from the candidate cluster of host computers. A scale-out operation is executed on the cluster of host computers using an available resource instance for the cloud-based computing environment.

Abstract: Examples herein include systems and methods for providing capacity forecasting for high-usage periods of a computing infrastructure. An example method can include segmenting a first portion of a data stream and generating a first core set for a forecasting model that predicts future usage of computing resources. The example method can further include segmenting a second portion of the data stream, generating a second core set, and using both core sets to forecast usage. The first core set can then be phased out after a predetermined time period has elapsed such that forecasting is based only on the second core set. The example method can further include defining at least two clusters of data and performing predictive analysis on that specific cluster. Cluster-specific results can be displayed on a GUI, which can also provide a user with options for increase or decrease computing resources based on the predictions.

Abstract: Some embodiments provide a method of load balancing data message flows across multiple secure connections. The method receives a data message having source and destination addresses formatted according to a first protocol. Based on the source and destination addresses, the method selects one of the multiple secure connections for the data message. Each of the secure connections handles a first set of connections formatted according to the first protocol and a second set of connections formatted according to a second protocol that is an alternative to the first protocol. The method securely encapsulates the data message and forwards the encapsulated data message onto a network. The encapsulation includes an identifier for the selected secure connection.

Abstract: Some embodiments provide a method for a first smart NIC of multiple smart NICs of a host computer. Each of the smart NICs is for performing virtual networking operations for a set of data compute machines executing on the host computer. The method determines that the first smart NIC is elected to communicate with a network management and control system that configures the virtual networking operations. The method receives a set of configuration data for the virtual networking operations from the network management and control system. The method provides the received set of configuration data to the other smart NICs of the host computer.

Abstract: An interface software layer is interposed between at least one application and a plurality of coprocessors. A data and command stream issued by the application(s) to an API of an intended one of the coprocessors is intercepted by the layer, which also acquires and stores the execution state information for the intended coprocessor at a coprocessor synchronization boundary. At least a portion of the intercepted data and command stream data is stored in a replay log associated with the intended coprocessor. The replay log associated with the intended coprocessor is then read out, along with the stored execution state information, and is submitted to and serviced by at least one different one of the coprocessors other than the intended coprocessor.

Abstract: Some embodiments of the invention provide a novel network architecture for deploying guest clusters (GCs) including workload machines for a tenant (or other entity) within an availability zone. The novel network architecture includes a virtual private cloud (VPC) deployed in the availability zone (AZ) that includes a centralized routing element that provides access to a gateway routing element of the AZ. In some embodiments, the centralized routing element provides a set of services for packets traversing a boundary of the VPC. The services, in some embodiments, include load balancing, firewall, quality of service (QoS) and may be stateful or stateless. Guest clusters are deployed within the VPC and use the centralized routing element of the VPC to access the gateway routing element of the AZ.

Abstract: Methods, apparatus, systems, and articles of manufacture to provide tenant aware runtime feature toggling in a cloud or other virtualized computing environment are disclosed. An example method includes determining a feature toggle associated with a resource of a provisioning request; retrieving the feature toggle from a database using a first tenant identifier, the feature toggle to have a first value for the first tenant identifier and a second value for a second tenant identifier; processing the feature toggle to provision the resource according to the first value of the feature toggle; and facilitating provisioning of the resource according to the first value.

Abstract: Described herein are systems, methods, and software to manage communication path configurations between edge gateways in a computing environment. In at least one implementation, a controller monitors network characteristics associated with routes from a first edge gateway to a second edge gateway and determines whether a first route configuration for the first edge gateway to communicate with the second edge gateway fails to satisfy criteria based on the network characteristics. If the first route configuration fails to satisfy the criteria, the controller determines a second route configuration and applies the second route configuration for the first edge gateway to communicate with the second edge gateway.

Abstract: The present disclosure relates to bootstrapping an encrypted single node VSAN cluster. One method includes receiving a request to create an encrypted VSAN cluster from a single host in a software-defined datacenter, deploying a virtual server on a VSAN datastore of the software-defined datacenter, registering a native key provider (NKP) in the virtual server, creating an empty VSAN cluster encrypted by the NKP, adding the single host to the encrypted empty cluster to create a one-host encrypted cluster, registering a KMIP KMS in the virtual server, switching encryption of the one-host encrypted cluster from the NKP to the KMIP KMS, and adding another host to the one-host encrypted cluster to create the encrypted cluster.

Abstract: A runtime state of a virtual port associated with a virtual machine (“VM”) is persisted as the VM is migrated from a source host to a destination host. In certain embodiments, a virtual switch forwards network frames between the VM and the physical network interface via the virtual port. During migration of the VM, the runtime state of the virtual port is transferred to the destination host and applied at the second host to a virtual port associated with a second virtual switch at the destination host. The runtime state of the virtual port at the source host is then cleared, and the second virtual switch at the destination host forwards network frames between the migrated VM and the physical network interface of the destination host using the virtual port at the second host.

Abstract: Examples of device-driven management are described. A management service can transmit a device-driven management workflow to a number of client devices. The device-driven management workflow can include workflow objects that define a branching sequence of instructions. The client devices can provide a corresponding plurality of completion statuses for a step of the device-driven management workflow. The management service can identify a failure of the step according to a set of failure rules, and visually emphasize the failure within a representation of the device-driven management workflow.

Abstract: Some embodiments establish for an entity a virtual network over several public clouds of several public cloud providers and/or in several regions. In some embodiments, the virtual network is an overlay network that spans across several public clouds to interconnect one or more private networks (e.g., networks within branches, divisions, departments of the entity or their associated datacenters), mobile users, and SaaS (Software as a Service) provider machines, and other web applications of the entity. The virtual network in some embodiments can be configured to optimize the routing of the entity's data messages to their destinations for best end-to-end performance, reliability and security, while trying to minimize the routing of this traffic through the Internet. Also, the virtual network in some embodiments can be configured to optimize the layer 4 processing of the data message flows passing through the network.

Abstract: The present application is directed to a distributed system that provides multi-cloud aggregation and that includes a cloud-connector server, cloud-connector nodes, and one or more service-provider nodes that cooperate to provide services that are distributed across multiple clouds. A service-provider node obtains tenant-associated information from a virtual data center in which the service-provider node is installed and provides the tenant-associated information to the cloud-connector server.

Abstract: The current document is directed to automated application-release-management facilities that, in a described implementation, coordinate continuous development and release of cloud-computing applications. The application-release-management process is specified, in the described implementation, by application-release-management pipelines, each pipeline comprising one or more stages, with each stage comprising one or more tasks. The currently described methods and systems allow resources to be shared among multiple, interdependent release pipelines and allow access to shared resources to be controlled.

Abstract: Disclosed are various embodiments for creating and managing virtual appliances. A command to create a virtual machine image for a hosted instance of an application image is received. The virtual machine image is created in response to receiving the command. The virtual machine image can include an operating system; a container orchestration service configured to host the instance of the application image; and a configuration service. The configuration service can be configured to at least install a management agent in response to a first boot of the virtual machine and configure the management agent to download and install the application image.

Abstract: Some embodiments provide a method for performing data traffic monitoring. The method processes a packet through a packet processing pipeline that includes multiple stages. At a filtering stage, the method tags the packet with a set of monitoring actions for subsequent stages to perform on the packet based on a determination that the packet matches a particular filter. For each stage of a set of packet processing stages subsequent to the filtering stage, the method (i) executes any monitoring actions specified for the stage to perform on the packet and (ii) sends the packet to a next stage in the packet processing pipeline.

Abstract: Methods and apparatus to centralize localization of micro-services messages in a distributed cloud environment are disclosed. An example method includes generating, by executing an instruction with one or more processors, a plurality of messages bundles. Respective ones of the messages bundles are associated with respective ones of a plurality of micro-services. The example method further including creating a localized response based on a non-localized response to a request by a user to one of the plurality of micro-services. The localized response is based on one of the plurality of messages bundles and the one of the plurality of messages bundles corresponds to the one of the plurality of micro-services.