HIGHLY AVAILABLE AND SCALABLE TELEGRAF BASED APPLICATION MONITORING

    公开(公告)号:US20230195583A1

    公开(公告)日:2023-06-22

    申请号:US17672723

    申请日:2022-02-16

    Applicant: VMWARE, INC.

    CPC classification number: G06F11/2025 G06F11/2041 G06F2201/865

    Abstract: A Highly Available system utilizes at least one host fit to send data, and a primary server fit to receive data. The primary server comprises, a failover server capable of communicating with a http server and able to receive data from the host, and where the http server can receive data from the failover server, and an adapter capable of receiving data from the http server for processing. The Highly Available system also utilizes at least one secondary server fit to receive data from the host, and further fit to process data on failure of primary server or its components. The secondary server comprises a second failover server capable of communicating with a second http server and able to receive data from the host, and where the second http server can receive data from the second failover server, and an adapter capable of receiving data from the second http server for processing.

    METHODS AND APPARATUS TO MONITOR CLOUD RESOURCES WITH A LIGHTWEIGHT COLLECTOR

    公开(公告)号:US20240028374A1

    公开(公告)日:2024-01-25

    申请号:US17976916

    申请日:2022-10-31

    Applicant: VMWARE, INC.

    CPC classification number: G06F9/45558 G06F2009/45595 G06F2009/4557

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes: at least one memory; instructions; and processor circuitry to execute the instructions to: install an agent on a virtual machine, the agent execute as a serverless application in a cloud infrastructure; obtain first metrics from the virtual machine, the first metrics based on an operating system executing on the virtual machine; configure a plug-in of the agent to facilitate the agent monitoring an application executing on the virtual machine; obtain second metrics from the virtual machine, the second metrics based on the application; parse the first and second metrics; and transmit the first and second metrics to a server for storage and analysis.

    METHODS AND APPARATUS TO IMPROVE MANAGEMENT OPERATIONS OF A CLOUD COMPUTING ENVIRONMENT

    公开(公告)号:US20240031263A1

    公开(公告)日:2024-01-25

    申请号:US17976961

    申请日:2022-10-31

    Applicant: VMWARE, INC.

    CPC classification number: H04L43/0811 H04L41/0816 H04L9/14

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve management operations of a cloud computing environment. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to determine a connectivity status between a first agent operating on a proxy server and a second agent operating on a compute node, the first agent and the second agent executing an application monitoring service, in response to determining that the connectivity status is indicative of a failed connection between the first agent and second agent, update the connectivity status of the second agent, and obtain an instruction to rectify the failed connection, and resolve that failed connection between the first agent and the second agent.

    BLUEPRINTS-BASED DEPLOYMENT OF MONITORING AGENTS

    公开(公告)号:US20230221935A1

    公开(公告)日:2023-07-13

    申请号:US17687714

    申请日:2022-03-07

    Applicant: VMWARE, INC.

    CPC classification number: G06F8/61 H04L67/10

    Abstract: In one example, a management node includes a processor and a memory coupled to the processor. The memory may include a blueprint-generation unit and a deployment unit. The blueprint-generation unit may generate a blueprint with specifications of hardware and an operating system to be deployed in a cloud computing infrastructure. Further, the blueprint-generation unit may append a command to the blueprint. The command may download a script from a remote collector that is associated with a monitoring platform to monitor workloads. Furthermore, the memory may include a deployment unit. The deployment unit may deploy an instance of the workload on a host computing system in the cloud computing infrastructure according to the blueprint. During the deployment of the instance of the workload, the deployment unit may execute the command to deploy a monitoring agent on the workload and configure the monitoring agent to monitor the workload.

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