Vmware, Inc.

Raunak Ravindra Singwi

Sairam Veeraswamy

Erol Aygar

Daniel James Beveridge

Marc Wayne Brotherson

Sean James Huntley

Akeem Lamar Jenkins

Shivali Sharma

Nilanjan Daw

Akash Kodenkiri

Ammar Rizvi

Dinesh Sharma

Prabhavathi Guttalahunase Munikempegowda

Solutions for discovering and onboarding edge devices at scale include: receiving, by a device aggregator, edge device state information including state information for a first edge device; based on at least the state information for the first edge device, configuring the first edge device to perform as a software-defined wide area network (SD-WAN) node; based on at least the edge device state information, determining a first device profile for the first edge device; and transmitting the first device profile to a workload manager. In some examples, the edge device state information includes state information for a second edge device; the second edge device is configured to perform as an SD-WAN node; and a second device profile is determined for the second edge device and transmitted to the workload manager. The workload manager allocates an SD-WAN workload among the first edge device and the second edge device.

Discovering and onboarding edge devices

Computer-implemented methods, media, and systems for inter-cluster automated failover and migration of containerized workloads across edges devices are disclosed. One example method includes monitoring telemetry data received from a first software defined wide area network (SD-WAN) edge device that has a workload scheduled, where the telemetry data includes at least one of a health status of the workload or multiple runtime context elements at the first SD-WAN edge device. It is determined that a failure associated with either the first SD-WAN edge device or the workload occurs. A mode of the failure is determined. A remediation process based on the determined mode of the failure and a current state of the workload is performed.

Inter-cluster automated failover and migration of containerized workloads across edges devices

Disclosed herein are systems and methods for dynamically switching between synchronous and asynchronous communication channels. A communication request can be received from an application, and a request identifier can be generated for the communication request. The communication request can be transmitted to an edge server application via a first communication channel. The first communication channel can be selected from a plurality of communication channels based at least in part on a policy. In an instance in which a condition specified by the policy is detected in the transmission of the communication request, a second communication channel can be selected from the plurality of communication channels. The communication request can be transmitted to the edge server application using the second communication channel.

Dynamically switching between synchronous and asynchronous communication channels

Computer-implemented methods, media, and systems for remediation of containerized workloads based on context breach at edge devices are disclosed. One example computer-implemented method includes monitoring telemetry data from a first software defined wide area network (SD-WAN) edge device, where the telemetry data includes multiple context elements at the first SD-WAN edge device. It is determined that a context change occurs for at least one of the context elements at the first SD-WAN edge device. It is determined that due to the context change, the first SD-WAN edge device does not satisfy one or more requirements for running one or more workloads scheduled to run. In response to the determination that the first SD-WAN edge device does not satisfy the one or more requirements, the at least one of the one or more workloads is offloaded from the first SD-WAN edge device to a second SD-WAN edge device.

Remediation of containerized workloads based on context breach at edge devices

Computer-implemented methods, media, and systems for context-sensitive defragmentation and aggregation of containerized workloads running on edge devices are disclosed. One example method includes monitoring telemetry data from multiple software defined wide area network (SD-WAN) edge devices that run multiple workloads, where the telemetry data includes at least one of resource utilization at the multiple SD-WAN edge devices, inter-workload trigger dependency, or inter-workload data dependency among the multiple workloads. It is determined, based on the telemetry data, that at least two of the multiple workloads running on at least two SD-WAN edge devices have the inter-workload trigger dependency or the inter-workload data dependency. In response to the determination that the at least two of the multiple workloads have the inter-workload trigger dependency or the inter-workload data dependency, a first process of migrating the at least two of the multiple workloads to a first SD-WAN edge device of is initiated.

Context-sensitive defragmentation and aggregation of containerized workloads running on edge devices

In one example, a cloud computing environment may be probed to detect an actual topology including connectivity between infrastructure security nodes and management nodes. Each management node may execute a corresponding centralized management service. Each infrastructure security node may execute a corresponding infrastructure security service that handles at least one infrastructure security function. Further, a set of candidate topologies may be generated based on the actual topology. Each candidate topology may indicate a way to replicate the infrastructure security service into the management nodes. Furthermore, a replication partner associated with each of the management nodes may be determined based on a selection of one of the candidate topologies. An operation to deploy the infrastructure security service on the management nodes may be executed based on the selected one of the candidate topologies and the determined replication partners to form an embedded linked mode architecture.

Growing community of inventors

Bengaluru, India

Raunak Ravindra Singwi