FAILURE DETECTION AND RECOVERY TECHNIQUES FOR CONVERGED NETWORK ADAPTORS

    公开(公告)号:US20240364586A1

    公开(公告)日:2024-10-31

    申请号:US18307727

    申请日:2023-04-26

    CPC classification number: H04L41/0803 H04L43/08

    Abstract: Techniques discussed herein relate to monitoring and/or detecting destabilization events of a host machine of a cloud computing environment. At least some of these destabilization events can be associated with a converged network adaptor of the host machine. The converged network adaptor may include a combination of functionality of a host network interface card (NIC) and functionality associated with a smart adaptor (e.g., a smart NIC). The smart adaptor may be configured to use at the host machine. A converged infrastructure management service may monitor operational data associated with the host machine to identify destabilization events that may be associated with the converged network adaptor. One or more remedial actions may be identified based at least in part on identifying these destabilizing events.

    Automated Manipulation and Monitoring of Embeddable Browsers

    公开(公告)号:US20240348520A1

    公开(公告)日:2024-10-17

    申请号:US18610210

    申请日:2024-03-19

    Applicant: PayPal, Inc.

    CPC classification number: H04L43/08 G06F3/04842 G06F9/451 H04L41/22 H04L67/02

    Abstract: Techniques are disclosed relating to monitoring network traffic of an embeddable browser displayed by an application executing on a mobile computing device. In some embodiments, a first layer of the application manipulates one or more user interface elements displayed in the embeddable browser. The first layer of the application then detects network requests made by one or more application programming interfaces (APIs) executed by the embeddable browser in response to the manipulating. In some embodiments, the first layer sends to a second layer of the application results of observing network requests. In some embodiments, the second layer of the application displays, in real-time, information corresponding to the results of observing network requests. The disclosed techniques for monitoring activity on an embeddable browser included in mobile applications despite mobile security restrictions may advantageously reduce or remove wait times associated with manipulating and observing content of the embeddable browser.

    CONFIGURATION CHECKING OF ASSET PROTECTION INFRASTRUCTURE

    公开(公告)号:US20240348502A1

    公开(公告)日:2024-10-17

    申请号:US18301506

    申请日:2023-04-17

    Abstract: A method, non-transitory computer readable medium, and a system for configuration checking of asset protection infrastructure. During the deployment and configuration stage for a backup workload entailing any number of assets, the administrator(s) of any enterprise information technology environment often face configuration and infrastructural challenges when they onboard their asset sources to perform protection operations. While configuring a protection policy, administrator(s) may understand the environment, however they may not be certain if the environment is configured to fulfill the data protection requirements. Embodiments described herein implement a solution whereby configuration checking for asset protection infrastructure is orchestrated and executed—said configuration checking entailing one or more of: an asset source configuration check respective to an asset source; a target storage configuration check respective to a target storage; and asset backup and/or asset restore configuration check(s) respective to an asset.

    METHOD AND APPARATUS FOR PREDICTING FAILURE IN A NETWORKED ENVIRONMENT

    公开(公告)号:US20240323097A1

    公开(公告)日:2024-09-26

    申请号:US18124556

    申请日:2023-03-21

    CPC classification number: H04L41/16 H04L43/08

    Abstract: A method and apparatus for predicting failure in a customer environment includes a method comprising receiving performance parameters from multiple nodes in a customer environment at a performance analysis server (PAS), and generating a node status based on the parameters using an AI engine. The node status includes node identifier, performance state of the node, and the parameter causing the state. The method determines a probability of a performance event for the node occurring at a future time interval based on the node status, wherein the performance event includes node failure, service degradation, or negative impact on other nodes. The method further predicts, using the AI engine, a time interval for occurrence of the performance event, based on the probability and the performance parameters.

    Sustainable Cross-Domain Data Distribution Infrastructure

    公开(公告)号:US20240323090A1

    公开(公告)日:2024-09-26

    申请号:US18189879

    申请日:2023-03-24

    CPC classification number: H04L41/12 G06Q50/06 H04L43/08 Y02D10/00

    Abstract: Described herein are embodiments related to systems, methods, and processes for sharing sustainability-related attributes and data across multiple domains. More specifically, some embodiments describe a sustainability aggregation device which may include a controller or other processor, and a memory. The memory includes a sustainability aggregation logic that can receive telemetry data associated with a first network domain, and in response, generate a multi-layer topology graph for the first network domain. In response to the graph being generated, it can be augmented with one or more sustainability-related attributes. However, the device can prune the augmented multi-layer topology graph based on one or more export policies and export the pruned augmented multi-layer topology graph to a second network domain. The multi-layer topology graph may also be utilized within a closed-loop system to monitor various aspects of the network domain and adjust one or more configurations as needed based on the received data.

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