METHOD TO INTELLIGENTLY MANAGE THE END TO END CONTAINER COMPLIANCE IN CLOUD ENVIRONMENTS

    公开(公告)号:US20220382879A1

    公开(公告)日:2022-12-01

    申请号:US17383252

    申请日:2021-07-22

    IPC分类号: G06F21/57 G06N5/02

    摘要: One example method includes collecting container information concerning a container, analyzing the container information to identify a security tool needed to perform a vulnerability scan of the container, accessing the security tool from a knowledge lake, running the security tool on the container information to identify a security vulnerability of the container, based on the running of the security tool, generating an alert indicating that the container has the security vulnerability, capturing the security vulnerability and, based on the captured security vulnerability, updating a container image that was used to spawn the container.

    Method to intelligently manage the end to end container compliance in cloud environments

    公开(公告)号:US11989308B2

    公开(公告)日:2024-05-21

    申请号:US17383252

    申请日:2021-07-22

    IPC分类号: G06F21/57 G06N5/02

    摘要: One example method includes collecting container information concerning a container, analyzing the container information to identify a security tool needed to perform a vulnerability scan of the container, accessing the security tool from a knowledge lake, running the security tool on the container information to identify a security vulnerability of the container, based on the running of the security tool, generating an alert indicating that the container has the security vulnerability, capturing the security vulnerability and, based on the captured security vulnerability, updating a container image that was used to spawn the container.

    Contextual replication profile creation based on data criticality

    公开(公告)号:US11874851B2

    公开(公告)日:2024-01-16

    申请号:US17355541

    申请日:2021-06-23

    IPC分类号: G06F16/30 G06F16/27 G06N20/00

    CPC分类号: G06F16/27 G06N20/00

    摘要: Embodiments for providing end-to-end automated contextual and differentiated application level replication by dynamically creating replication profiles for asynchronous or synchronous replication at runtime to maintain any relevant service level agreement requirements. Based on relevant operating information, data sources are identified as critical and non-critical servers and their data is tagged accordingly in the replication application by using an analytics engine. The information and tags are used to produce a trained model for machine learning processes that can generated predictions for future replication operations. An error handler identifies erroneous predictions and provides a fallback mechanism to avoid any customer replication service level agreement breach at any given time.

    Method to create and perform appropriate workflow for datacenter migration

    公开(公告)号:US11593161B2

    公开(公告)日:2023-02-28

    申请号:US17073096

    申请日:2020-10-16

    IPC分类号: G06F9/46 G06F9/48

    摘要: Embodiments described herein relate to a method for new endpoint addition. The method may include receiving, during execution of a migration workflow, a request to add a new endpoint to the migration workflow. The execution of the migration workflow includes performing a first migration job associated with a first consistency group and assigned a first priority; making a first determination that the first priority is higher than a priority threshold; based on the first determination, completing the first migration job; performing, after completing the first migration job, a new endpoint addition action set. The method may also include adding, based on the new endpoint migration job priority, the new endpoint migration job to a queue of remaining migration jobs of the migration workflow.

    Contextual Replication Profile Creation Based on Data Criticality

    公开(公告)号:US20220382780A1

    公开(公告)日:2022-12-01

    申请号:US17355541

    申请日:2021-06-23

    IPC分类号: G06F16/27 G06N20/00

    摘要: Embodiments for providing end-to-end automated contextual and differentiated application level replication by dynamically creating replication profiles for asynchronous or synchronous replication at runtime to maintain any relevant service level agreement requirements. Based on relevant operating information, data sources are identified as critical and non-critical servers and their data is tagged accordingly in the replication application by using an analytics engine. The information and tags are used to produce a trained model for machine learning processes that can generated predictions for future replication operations. An error handler identifies erroneous predictions and provides a fallback mechanism to avoid any customer replication service level agreement breach at any given time.

    METHOD TO CREATE AND PERFORM APPROPRIATE WORKFLOW FOR DATACENTER MIGRATION

    公开(公告)号:US20220121482A1

    公开(公告)日:2022-04-21

    申请号:US17073096

    申请日:2020-10-16

    IPC分类号: G06F9/48

    摘要: Embodiments described herein relate to a method for new endpoint addition. The method may include receiving, during execution of a migration workflow, a request to add a new endpoint to the migration workflow. The execution of the migration workflow includes performing a first migration job associated with a first consistency group and assigned a first priority; making a first determination that the first priority is higher than a priority threshold; based on the first determination, completing the first migration job; performing, after completing the first migration job, a new endpoint addition action set. The method may also include adding, based on the new endpoint migration job priority, the new endpoint migration job to a queue of remaining migration jobs of the migration workflow.