Vmware, Inc.

Sun Microsystems, Inc.

Intuit, Inc.

Oracle America, Inc.

Servesh Pratap Singh

Rishi Saraf

Arun Narayanaswamy

Kiran Singh

Jitendra Kumar

Saket Kumar

Shyam Sundar Rao Mankala

Rajesh Khazanchi

Agila Govindaraju

Rakesh Sinha

Vishal Jain

Shyam Mankala

Anne Holler

Kumar Gaurav

Amarnath Palavalli

Dattathreya Sathyamurthy

Ashish Kumar Jain

Danny Holzman

Nilesh Agrawal

Ritesh Jain

Amit Handa

Vinay B V Murthy

Assaf Berg

Nikhil Dhankani

Smita Shankar

Devaki Kulkarni

Vikas Awasthi

Shreyas S Kaushik

An example apparatus includes memory and a processor to execute instructions to set a scaling status of a first virtual machine included in an application deployed in a computing environment, the first virtual machine to execute a first component of the application, means for identifying an information dependency of a second virtual machine on information from the first virtual machine, the second virtual machine to execute a second component of the application, and update the information dependency based on the scaling status of the first virtual machine, the information dependency in the configuration information to include a reference to the first virtual machine.

Methods and apparatus to scale application deployments in cloud computing environments

An example apparatus includes a deployment monitor to initiate a modification of a number of virtual machines deployed in the computing environment. The virtual machines including a first virtual machine to execute a first component of an application deployed in the computing environment. A dependents identifier is to identify an information dependency of a second virtual machine on information from the first virtual machine. The second virtual machine is to execute a second component of the application. An updater is to update the information dependency based on a scaling status of the first virtual machine. The information dependency in the configuration information including a reference to the first virtual machine.

The current document is directed to an integrated cloud-management facility, or subsystem, that incorporates an automated-application-deployment-facility integrator that incorporates one or more automated-application-deployment facilities into the cloud-management facility. The automated-application-deployment-facility integrator allows users of the cloud-management facility to access one or more automated-application-deployment facilities within the context of the cloud-management facility. The automated-application-deployment-facility integrator provides to system managers and administrators, through the cloud-management facility, a wider range of functionalities and capabilities than is provided by a cloud-management facility that includes only a single automated-application-deployment facility, or subsystem.

Integrated automated application deployment

Methods and systems to compute application license costs of a number of applications run on virtual machines of a virtualized data center are described. In one aspect, one or more of the virtual machines ('VMs') that form the virtual data center are determined. Each VM is created from hardware components specifications of one or more application blueprints stored in a data-storage devices. The one or more blueprints are searched to determine the one more applications that run in each VM. For each VM, a total VM application licensing cost of the one or more applications is computed based on one or more of an application instance license cost, application socket license cost, and application core license of each of the one or more applications associated with each application.

Methods and systems to determine application license costs in a virtualized data center for use in virtual machine consolidation

A system and method for efficiently replacing clients running a large scale application uses a pool of clients, which includes a group of active clients running the large scale application and at least one standby client. When a particular active client is identified to be replaced, one of the at least one standby client is selected as a replacement client for the particular active client. The particular active client is replaced with the selected replacement client with respect to the running of the large scale application such that the particular client is removed from the group of active clients and the selected replacement client is added to the group of active clients.

Efficient replacement of clients running large scale applications

Methods and apparatus are disclosed to scale application deployments in cloud computing environments using virtual machine pools. An example method disclosed herein includes preparing a virtual machine pool including a virtual machine for use in a scaling operation, the virtual machine prepared in accordance with a blueprint of the application deployed in a deployment environment separate from the virtual machine pool, in response to receiving a request to scale the application, determining by executing an instruction with a processor, whether configuration information of the virtual machine pool satisfies a scaling requirement included in the request, and based on the determination, executing an instruction with the processor to transfer the virtual machine from the virtual machine pool to the deployment environment to perform the scaling operation in accordance with the request to scale.

Method and apparatus to scale application deployments in cloud computing environments using virtual machine pools

One embodiment of the present invention relates to a system that enables a single software application instance to support multiple tenants, wherein each tenant is associated with a separate database. First, the software application instance receives an input, wherein the input requires an operation to be performed on a database of one of the supported tenants. Next, the software application instance identifies the tenant with which the input is associated. The software application instance then obtains a context associated with the tenant. From the context, the software application instance obtains a service object. Finally, the software application invokes a method provided by the service object's class. This enables a data access object, which is encapsulated within the service object, to perform the operation on the database.

System for supporting a multi-tenant data architecture

The current document is directed to automated application-release-management facilities that, in a described implementation, coordinate continuous development and release of cloud-computing applications. The application-release-management process is specified, in the described implementation, by application-release-management pipelines, each pipeline comprising one or more stages, with each stage comprising one or more tasks.

Automated application-release-management subsystem

Methods, apparatus, systems and articles of manufacture are disclosed to scale application deployments in cloud computing environments. An example method disclosed herein includes marking a scaling status of a virtual machine included in a first node deployed in the computing environment, the first node executing a first component of the application, the scaling status of the virtual machine indicating a change in a number of virtual machines included in the first node. The example method also includes identifying a second node including a dependency with the virtual machine, the second node deployed in the computing environment. The example method also includes updating configuration information associated with the second node based on the scaling status of the virtual machine, the configuration information including a reference to the virtual machine.

An artifact manager generates an abstraction for artifacts and repositories in a deployment platform such that the artifacts may be located uniformly and securely in each deployment environment during the deployment process. The described system includes a release automation platform having a release pipeline which is responsible for deploying build artifacts into multiple deployment environments, testing the build artifacts thoroughly in each environment, and follow organization-specific approval processes to promote the build artifacts to a next deployment environment.

Artifact manager for release automation

Individuals using a data management system are provided the capability to make corrections to default values presented in a simulation of at least part of a webpage including default data indicating the layout of the webpage, and/or one or more identified data fields determined by heuristic analysis and/or from data collected from other individuals/users. These contributing individual corrections are then transformed into contributing individual originated parser scripts associated with the webpage. The contributing individual originated parser scripts are then implemented and/or applied to the webpage for all individuals, including the contributing individual.

Method and system for providing a net effect platform for developing and correcting screen scraping parser scripts

Methods, apparatus and systems are disclosed to update application deployments in cloud computing environments. An example method disclosed herein includes identifying an update profile to promote across the plurality of deployment environments, the update profile to update a component of the application, in response to a notification of promotion of the update profile received at a first deployment environment. The example method also includes displaying a user-selectable control in a user interface, the user-selectable control to specify whether to apply the update profile to the component of the application deployed in the first deployment environment, based on selection of the user-selectable control, performing a compatibility check of the first deployment environment and the update profile, and based on an outcome of the compatibility check, applying the update profile to the component of the application deployed in the first deployment environment.

Methods and apparatus to update application deployments in cloud computing environments

Methods and apparatus are disclosed to scale application deployments in cloud computing environments using virtual machine pools. An example method disclosed herein includes displaying a user-selectable control to specify whether the application is to be scaled in accordance with a scaling policy, based on selection of the user-selectable control, storing, in a blueprint of the application, an indication of whether the application is to be scaled in accordance with the scaling policy, based on the indication in the blueprint, preparing a virtual machine pool in the computing environment, the virtual machine pool including a virtual machine provisioned for use in a scaling operation, in response to a request to scale the application deployed in a deployment environment, determining whether configuration information satisfies a scaling requirement, and based on the determination, performing the scaling operation in accordance with the request to scale by transferring the virtual machine to the deployment environment.

Methods and apparatus to scale application deployments in cloud computing environments using virtual machine pools

The disclosed embodiments provide a system that authenticates a user. During operation, the system identifies a first tenant associated with a first request for a first resource from the user and obtains an authentication policy for the first tenant. Next, the system uses an authentication mechanism associated with the authentication policy to authenticate the user. Upon authenticating the user, the system provides a first security token for enabling access to the first resource by the user.

Growing community of inventors

Kanpur, India

Servesh Pratap Singh