Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a semantic model of a computing environment is analyzed. The computing environment is deployed based on the analysis of the semantic model. The deployment of the computing environment includes executing one or more automation scripts. One or more changes in a state of the computing environment are identified, for each automation script executed during the deployment of the computing environment, based on executing the automation script. The semantic model is updated based on the one or more changes in state identified for each automation script.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a semantic model of a computing environment is analyzed. The computing environment is deployed based on the analysis of the semantic model. The deployment of the computing environment includes executing one or more automation scripts. One or more changes in a state of the computing environment are identified, for each automation script executed during the deployment of the computing environment, based on executing the automation script. The semantic model is updated based on the one or more changes in state identified for each automation script.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a semantic model of a computing environment is analyzed. The computing environment is deployed based on the analysis of the semantic model. The deployment of the computing environment includes executing one or more automation scripts. One or more changes in a state of the computing environment are identified, for each automation script executed during the deployment of the computing environment, based on executing the automation script. The semantic model is updated based on the one or more changes in state identified for each automation script.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Abstract: Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Abstract: Various embodiments monitor a distributed software system. In one embodiment, at least one monitoring policy associated with a distributed software system is selected. A policy type associated with the monitoring policy is identified. An installer is selected based on the policy type associated with the monitoring policy. Monitoring software is installed in a computing environment utilizing the installer. The monitoring software is configured to monitor the distributed software system based on the monitoring policy.

Abstract: Various embodiments create a cross-configuration software module for cross-configuring software entities. In one embodiment, a first set of requirements and at least a second set of requirements are obtained. Each of the first and second set of requirements identify at least one of a set of software entities and a set of hardware components required to be present on at least one system including software entities to be cross-configured. At least one set of operations is obtained. The set of operations includes at least one executable instruction that configures a first software entity with a second software entity. A first configuration definition is generated including at least the first set of requirements and the at least one set of operations. A second configuration definition is generated including at least the second set of requirements. The first and second configuration definitions are stored within a cross-configuration software module.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.

Abstract: Various embodiments automatically test software automation scripts. In one embodiment, at least one software automation script is obtained. The software automation script is configured to automatically place a computing system into a target state. A plurality of test cases for the software automation script is executed. Each of the plurality of test cases is a separate instance of the software automation script configured based at least on one or more different states of the computing system. The software automation script is determined to be one of idempotent and non-idempotent and/or one of convergent and non-convergent based on executing the plurality of test cases.