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公开(公告)号：US20200304383A1
公开(公告)日：2020-09-24
申请号：US16357742
申请日：2019-03-19
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Ajay Kumar Bajaj , Prabhu Murthy , Abhishek Kumar
IPC: H04L12/24
Abstract: Examples of generation of templates for cloud computing platforms are disclosed. In an example, a plurality of service provider specific parameters corresponding to a selected parameter is identified. Each of the plurality of service provider specific parameters is associated with a respective cloud service provider. A plurality of service provider specific templates for deployment and management of the computing entity over the plurality of cloud computing platforms is generated, based on the plurality of service provider specific parameters. Each of the plurality of service provider specific templates includes a corresponding service provider specific parameter, from the plurality of service provider specific parameters.
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公开(公告)号：US20210279111A1
公开(公告)日：2021-09-09
申请号：US16811313
申请日：2020-03-06
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jyoti Ranjan , Ajay Kumar Bajaj , Abhishek Kumar
Abstract: Example implementations relate to a upgrade of a host that hosts application units of a container-based application. According to an example, monitoring is performed to identify new system software component availability for the cluster. When a new system software component is available, a historical workload pattern of the cluster is analyzed to identify an upgrade window for each host of the cluster. When the upgrade window arrives for a host, it is determined whether reconfiguration of an application is to be performed based on a capacity of the cluster. When the determination is affirmative, a reconfiguration option for the application is identified and a configuration of the application is adjusted accordingly. The host may then be drained, removed from the cluster, upgraded, added back into the cluster and any application configuration changes can be reversed.
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公开(公告)号：US10915349B2
公开(公告)日：2021-02-09
申请号：US15959697
申请日：2018-04-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jyoti Ranjan , Unmesh Gurjar , Abhishek Kumar , Anudeep Chandra Thatipalli , Ajay Kumar Bajaj
Abstract: In some examples, a method includes: (a) reading a manifest file containing information regarding an application running on one or more Virtual Machines (VMs), wherein the information includes application topology, credentials, and configuration details; (b) receiving instructions to re-deploy the application from the one or more VMs to a container environment; (c) discovering, based on information in the manifest file, application consumption attributes including attributes of storage, computer, and network resources consumed by a workload of the application; (d) deploying the application on the container environment to produce a containerized application; (e) copying configuration details from the manifest file to the containerized application; (f) migrating, based on information in the manifest file and the discovered application consumption attributes, stateful data to the containerized application; and (g) validating the containerized application functionality.
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Patent Agency Ranking
公开(公告)号：US11748487B2
公开(公告)日：2023-09-05
申请号：US16856702
申请日：2020-04-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jyoti Ranjan , Prabhu Murthy , Ajay Kumar Bajaj
CPC classification number: G06F21/577 , G06F9/547 , G06F11/0766 , G06F11/3636 , G06F11/3664 , G06F11/3688 , G06F21/6227
Abstract: Embodiments described herein are generally directed to testing a microservice to determine whether the microservice leaks sensitive information. According to an example, prior to deployment of a microservice within a production environment, a test suite for the microservice is generated based at least in part on a specification of an application programming interface (API) of the microservice defining operations supported by the API and information regarding parameters of each of the operations. The microservice is subjected to the test suite. A potential security leak by the microservice is then detected by analyzing a dataset to which the microservice outputs information, including applying security rules to the dataset.
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公开(公告)号：US11483384B2
公开(公告)日：2022-10-25
申请号：US16820557
申请日：2020-03-16
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jyoti Ranjan , Abhishek Kumar , Unmesh Gurjar , Ajay Kumar Bajaj
IPC: H04L29/08 , H04L12/24 , H04L67/1095 , H04L41/14
Abstract: In some examples, a system may include a processing resource and a memory resource. The memory resource may store machine-readable instructions to cause the processing resource to create a migration plan, defining characteristics of a migration of an application from a native computing data center to a computing cloud of a plurality of distinct candidate computing clouds, based on: a first migration constraint for the application determined from an analysis of historical behavior of the application executed on the native computing data center; a second migration constraint for the application determined from an analysis of administrator cloud migration preferences for the application; and a cloud computing characteristic of each of the plurality of distinct candidate computing clouds.
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公开(公告)号：US20210334384A1
公开(公告)日：2021-10-28
申请号：US16856702
申请日：2020-04-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jyoti Ranjan , Prabhu Murthy , Ajay Kumar Bajaj
Abstract: Embodiments described herein are generally directed to testing a microservice to determine whether the microservice leaks sensitive information. According to an example, prior to deployment of a microservice within a production environment, a test suite for the microservice is generated based at least in part on a specification of an application programming interface (API) of the microservice defining operations supported by the API and information regarding parameters of each of the operations. The microservice is subjected to the test suite. A potential security leak by the microservice is then detected by analyzing a dataset to which the microservice outputs information, including applying security rules to the dataset.
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公开(公告)号：US20200304571A1
公开(公告)日：2020-09-24
申请号：US16820557
申请日：2020-03-16
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jyoti Ranjan , Abhishek Kumar , Unmesh Gurjar , Ajay Kumar Bajaj
Abstract: In some examples, a system may include a processing resource and a memory resource. The memory resource may store machine-readable instructions to cause the processing resource to create a migration plan, defining characteristics of a migration of an application from a native computing data center to a computing cloud of a plurality of distinct candidate computing clouds, based on: a first migration constraint for the application determined from an analysis of historical behavior of the application executed on the native computing data center; a second migration constraint for the application determined from an analysis of administrator cloud migration preferences for the application; and a cloud computing characteristic of each of the plurality of distinct candidate computing clouds.
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公开(公告)号：US20190324786A1
公开(公告)日：2019-10-24
申请号：US15959697
申请日：2018-04-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jyoti Ranjan , Unmesh Gurjar , Abhishek Kumar , Anudeep Chandra Thatipalli , Ajay Kumar Bajaj
Abstract: In some examples, a method includes: (a) reading a manifest file containing information regarding an application running on one or more Virtual Machines (VMs), wherein the information includes application topology, credentials, and configuration details; (b) receiving instructions to re-deploy the application from the one or more VMs to a container environment; (c) discovering, based on information in the manifest file, application consumption attributes including attributes of storage, computer, and network resources consumed by a workload of the application; (d) deploying the application on the container environment to produce a containerized application; (e) copying configuration details from the manifest file to the containerized application; (f) migrating, based on information in the manifest file and the discovered application consumption attributes, stateful data to the containerized application; and (g) validating the containerized application functionality.
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