Abstract: Embodiments of apparatus, systems and methods facilitate the adaptive deployment of a distributed computing application on at least one selected cloud configuration from a plurality of cloud configurations based on dynamically obtained and/or compiled metrics pertaining to the cloud configurations and to the distributed computing application and/or user specified criteria pertaining to the metrics. In some embodiments, an infrastructure independent representation of the distributed computing application is adapted to the selected cloud configuration and run on the selected cloud configuration by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: Embodiments disclosed facilitate adaptation of interactive desktop applications (IDAs) for deployment and execution on distributed systems including clouds. In some embodiments, the method comprises: executing a cloud-based IDA on a dedicated elastic Virtual Machine (VM) running on at least one of a plurality of cloud infrastructures using a remote client device; and invoking an application on the remote client device comprising a remote desktop protocol (RDP) to connect to the VM on the at least one cloud infrastructure to facilitate remote user interaction with the at least one cloud-based IDA using functionality provided by the RDP. In some embodiments, the remote client application may be a web browser and RDP may be implemented using browser plugins. Further, the remote client application may sync data with cloud infrastructure before and after IDA execution, and the VM running the IDA may be terminated when user exits the IDA.

Abstract: Embodiments of apparatus, systems and methods facilitate the running a distributed computing application on at least one of a plurality of cloud infrastructures. In some embodiments, the processor implemented method comprises: deriving an infrastructure independent representation of the distributed computing application; and running the distributed computing application on one of a plurality of cloud infrastructures by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: Embodiments of apparatus, systems and methods facilitate the running a distributed computing application on at least one of a plurality of cloud infrastructures. In some embodiments, the processor implemented method comprises: deriving an infrastructure independent representation of the distributed computing application; and running the distributed computing application on one of a plurality of cloud infrastructures by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: Embodiments of apparatus, systems and methods facilitate the running a distributed computing application on at least one of a plurality of cloud infrastructures. In some embodiments, the processor implemented method comprises: deriving an infrastructure independent representation of the distributed computing application; and running the distributed computing application on one of a plurality of cloud infrastructures by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: A system, method, computer program product are shown for automatically performing deployment activities that can handle deployments for any-sized organization, even for deployments at the enterprise level. According to some approaches, modeling is performed to generate a model of the components in the computing environment. Dependency graphs can be generated for the deployment, and used to then automatically perform the deployment.

Abstract: Embodiments of apparatus, systems and methods facilitate the running a distributed computing application on at least one of a plurality of cloud infrastructures. In some embodiments, the processor implemented method comprises: deriving an infrastructure independent representation of the distributed computing application; and running the distributed computing application on one of a plurality of cloud infrastructures by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: Embodiments of apparatus, systems and methods facilitate the running a distributed computing application on at least one of a plurality of cloud infrastructures. In some embodiments, the processor implemented method comprises: deriving an infrastructure independent representation of the distributed computing application; and running the distributed computing application on one of a plurality of cloud infrastructures by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: Embodiments of apparatus, systems and methods facilitate deployment of distributed computing applications on hybrid public-private infrastructures by facilitating secure access to selected services running on private infrastructures by distributed computing applications running on public cloud infrastructures. In some embodiments, a secure tunnel may be established between proxy processes on the public and private infrastructures and communication between the distributed computing application and the selected services may occur through the proxy processes over the secure tunnel.

Abstract: Techniques are described for checking whether system properties meet the requirements of a software application. These checks are performed by executing validation checks associated with the application, which often include validation checks associated with other applications with which the application integrates. A validation engine takes several inputs that drive the validation checking that is performed in conjunction with an operation associated with the application. In one aspect, a modular approach to integrating an application's validation checks with other applications' validation checks is provided via a properties file that contains metadata for all the files in an application's validation module. In another aspect, conditional logic is introduced into a knowledge source so that similar logic does not need to be in the validation test code. In another aspect, the validation test identifiers input is extended to support multiple modes of operations.

Abstract: Embodiments of apparatus, systems and methods facilitate deployment of distributed computing applications on hybrid public-private infrastructures by facilitating secure access to selected services running on private infrastructures by distributed computing applications running on public cloud infrastructures. In some embodiments, a secure tunnel may be established between proxy processes on the public and private infrastructures and communication between the distributed computing application and the selected services may occur through the proxy processes over the secure tunnel.

Abstract: Embodiments of apparatus, systems and methods facilitate the adaptive deployment of a distributed computing application on at least one selected cloud configuration from a plurality of cloud configurations based on dynamically obtained and/or compiled metrics pertaining to the cloud configurations and to the distributed computing application and/or user specified criteria pertaining to the metrics. In some embodiments, an infrastructure independent representation of the distributed computing application is adapted to the selected cloud configuration and run on the selected cloud configuration by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: Embodiments of apparatus, systems and methods facilitate the running a distributed computing application on at least one of a plurality of cloud infrastructures. In some embodiments, the processor implemented method comprises: deriving an infrastructure independent representation of the distributed computing application; and running the distributed computing application on one of a plurality of cloud infrastructures by utilizing a cloud-specific implementation of the infrastructure independent representation of the distributed computing application. The cloud-specific implementation of the infrastructure independent representation corresponds to the cloud infrastructure on which the distributed application is run.

Abstract: A system, method, computer program product are shown for automatically performing deployment activities that can handle deployments for any-sized organization, even for deployments at the enterprise level. According to some approaches, modeling is performed to generate a model of the components in the computing environment. Dependency graphs can be generated for the deployment, and used to then automatically perform the deployment.

Abstract: Facilitating self-remediation for software applications. In an embodiment, a self-remediation tool (incorporated in the software application) receives a set of tasks that are to be performed for fixing an error in the software application. The self-remediation tool determines a subset of tasks requiring termination of execution of the software application. A new process is then initialized, which is designed to terminate the software application, perform the subset of tasks and restart the software application.

Abstract: Automated tools to validate a system environment for an application (and/or any other type of software component) and/or repair system environment conditions that might prevent the proper installation and/or functioning of the application or component are presented. Such tools can facilitate the installation and/or upgrade of software by automating the process of ensuring that all necessary requirements for the proper functioning of the software have been met.

Abstract: An application deployment architecture provides the capability to independently invoke different phases of an operation associated with an application, thereby progressively deploying the application across a network of peer nodes and providing fault tolerance. Therefore, applications are easier to deploy on the network of nodes, the deployment process is less error prone, and remediation of deployment errors is simpler than with prior approaches. Tasks constituent to phases of a deployment process are schedulable rather than completely automated and outside the control of the administrator, and are schedulable on a subset of the nodes rather than only on the entire network of nodes.

Abstract: Facilitating self-remediation for software applications. In an embodiment, a self-remediation tool (incorporated in the software application) receives a set of tasks that are to be performed for fixing an error in the software application. The self-remediation tool determines a subset of tasks requiring termination of execution of the software application. A new process is then initialized, which is designed to terminate the software application, perform the subset of tasks and restart the software application.

Abstract: Automated tools to validate a system environment for an application (and/or any other type of software component) and/or repair system environment conditions that might prevent the proper installation and/or functioning of the application or component. Such tools can facilitate the installation and/or upgrade of software by automating the process of ensuring that all necessary requirements for the proper functioning of the software have been met.

Abstract: An application deployment architecture provides the capability to independently invoke different phases of an operation associated with an application, thereby progressively deploying the application across a network of peer nodes and providing fault tolerance. Therefore, applications are easier to deploy on the network of nodes, the deployment process is less error prone, and remediation of deployment errors is simpler than with prior approaches. Tasks constituent to phases of a deployment process are schedulable rather than completely automated and outside the control of the administrator, and are schedulable on a subset of the nodes rather than only on the entire network of nodes.