Abstract: A cloud computing environment provides the ability to deploy a web application that has been developed using one of a plurality of application frameworks and is configured to execute within one of a plurality of runtime environments. The cloud computing environment receives the web application in a package compatible with the runtime environment and dynamically binds available services by appropriately inserting service provisioning data into the package. The cloud computing environment then packages an instance of the runtime environment, a start script and the package into a web application deployment package, which is then transmitted to an application. The application container unpacks the web application deployment package, installs the runtime environment, loads the web application package into the runtime environment and starts the start script, thereby deploying the web application in the application container.

Abstract: A policy engine is situated within the communications path of a cloud computing environment and a user of the cloud computing environment to comply with an organization's policies for deploying web applications in the cloud computing environment. The policy engine intercepts communications packets to the cloud computing environment from a user, such as a web application developer, for example, in preparation for deploying a web application in the cloud computing environment. The policy engine identifies commands corresponding to the communications packets and directs the communications packets to appropriate rules engines corresponding to such commands in order to execute rules to comply with an organization's policies. Upon completion of execution of the rules, the communications packets are forwarded to the cloud computing environment if they comply with the policies.

Abstract: A deployment system provides the ability to deploy a multi-node distributed application, such as a cloud computing platform application that has a plurality of interconnected nodes performing specialized jobs. The deployment system may update a currently running cloud computing platform application according to a deployment manifest and a versioned release bundle that includes jobs and application packages. The deployment system determines changes to the currently running cloud computing platform application and distributes changes to each job to deployment agents executing on VMs. The deployment agents apply the updated jobs to their respective VMs (e.g., launching applications), thereby deploying an updated version of cloud computing platform application.

Abstract: Techniques disclosed herein provide an approach for managing aggregation service hierarchies. In some embodiments, a hierarchy of an aggregation service is identified. The hierarchy comprises a plurality of nodes, where a respective node is associated with at least one host computer. The aggregation service places resource consumers based on the nodes. A host computer is assigned as a child host of a leaf node based on a clustering heuristic. The clustering heuristic requires the host computer to have access to at least one resource that is accessible to an existing child host of the leaf node. A resource consumer associated with the leaf node is executed on the host computer.

Abstract: A cloud computing environment provides the ability to deploy a web application that has been developed using one of a plurality of application frameworks and is configured to execute within one of a plurality of runtime environments. The cloud computing environment receives the web application in a package compatible with the runtime environment and dynamically binds available services by appropriately inserting service provisioning data into the package. The cloud computing environment then packages an instance of the runtime environment, a start script and the package into a web application deployment package, which is then transmitted to an application. The application container unpacks the web application deployment package, installs the runtime environment, loads the web application package into the runtime environment and starts the start script, thereby deploying the web application in the application container.

Abstract: A policy engine is situated within the communications path of a cloud computing environment and a user of the cloud computing environment to comply with an organization's policies for deploying web applications in the cloud computing environment. The policy engine intercepts communications packets to the cloud computing environment from a user, such as a web application developer, for example, in preparation for deploying a web application in the cloud computing environment. The policy engine identifies commands corresponding to the communications packets and directs the communications packets to appropriate rules engines corresponding to such commands in order to execute rules to comply with an organization's policies. Upon completion of execution of the rules, the communications packets are forwarded to the cloud computing environment if they comply with the policies.

Abstract: A deployment system provides the ability to deploy a multi-node distributed application, such as a cloud computing platform application that has a plurality of interconnected nodes performing specialized jobs. The deployment system may update a currently running cloud computing platform application according to a deployment manifest and a versioned release bundle that includes jobs and application packages. The deployment system determines changes to the currently running cloud computing platform application and distributes changes to each job to deployment agents executing on VMs. The deployment agents apply the updated jobs to their respective VMs (e.g., launching applications), thereby deploying an updated version of cloud computing platform application.

Abstract: A cloud computing environment provides the ability to deploy a web application that has been developed using one of a plurality of application frameworks and is configured to execute within one of a plurality of runtime environments. The cloud computing environment receives the web application in a package compatible with the runtime environment and dynamically binds available services by appropriately inserting service provisioning data into the package. The cloud computing environment then packages an instance of the runtime environment, a start script and the package into a web application deployment package, which is then transmitted to an application. The application container unpacks the web application deployment package, installs the runtime environment, loads the web application package into the runtime environment and starts the start script, thereby deploying the web application in the application container.

Abstract: A policy engine is situated within the communications path of a cloud computing environment and a user of the cloud computing environment to comply with an organization's policies for deploying web applications in the cloud computing environment. The policy engine intercepts communications packets to the cloud computing environment from a user, such as a web application developer, for example, in preparation for deploying a web application in the cloud computing environment. The policy engine identifies commands corresponding to the communications packets and directs the communications packets to appropriate rules engines corresponding to such commands in order to execute rules to comply with an organization's policies. Upon completion of execution of the rules, the communications packets are forwarded to the cloud computing environment if they comply with the policies.

Abstract: Techniques disclosed herein provide an approach for assigning resource consumers to available resources. In one embodiment, components of a distributed scheduler are organized into a hierarchy, such as a tree. A placement request received at a root scheduler of the hierarchy is propagated down the hierarchy, either to all children or to randomly selected subsets of children of each scheduler in the hierarchy. Leaf schedulers in the hierarchy that receive the request each propagate back up a score indicating the amount of free resources in its corresponding resource bucket. Branch schedulers then compare scores that they receive, and each further propagate one of the received scores, such as the highest score, based on the comparison, until the root scheduler is reached. The root scheduler makes an additional comparison and returns one of the resource buckets in response to the received placement request.

Abstract: Techniques disclosed herein provide an approach for managing aggregation service hierarchies. In some embodiments, a hierarchy of an aggregation service is identified. The hierarchy comprises a plurality of nodes, where a respective node is associated with at least one host computer. The aggregation service places resource consumers based on the nodes. A host computer is assigned as a child host of a leaf node based on a clustering heuristic. The clustering heuristic requires the host computer to have access to at least one resource that is accessible to an existing child host of the leaf node. A resource consumer associated with the leaf node is executed on the host computer.

Abstract: Techniques disclosed herein provide an approach for creating and managing aggregation service hierarchies, such as hierarchies used in distributed scheduling services and heartbeat services. In one embodiment, management nodes accept host computer registration events and add host computers to a hierarchy used as the aggregation mechanism in an aggregation service. The management nodes each manage a portion of the hierarchy and configure registered hosts to take the roles of leaf, branch, and root nodes in the hierarchy. Further, the management nodes dynamically mutate the hierarchy by reassigning host roles, in response to host additions and failures, thereby maximizing fault tolerance/high availability and efficiency.

Abstract: A deployment system provides the ability to deploy a multi-node distributed application, such as a cloud computing platform application that has a plurality of interconnected nodes performing specialized jobs. The deployment system may update a currently running cloud computing platform application according to a deployment manifest and a versioned release bundle that includes jobs and application packages. The deployment system determines changes to the currently running cloud computing platform application and distributes changes to each job to deployment agents executing on VMs. The deployment agents apply the updated jobs to their respective VMs (e.g., launching applications), thereby deploying an updated version of cloud computing platform application.

Abstract: A policy engine is situated within the communications path of a cloud computing environment and a user of the cloud computing environment to comply with an organization's policies for deploying web applications in the cloud computing environment. The policy engine intercepts communications packets to the cloud computing environment from a user, such as a web application developer, for example, in preparation for deploying a web application in the cloud computing environment. The policy engine identifies commands corresponding to the communications packets and directs the communications packets to appropriate rules engines corresponding to such commands in order to execute rules to comply with an organization's policies. Upon completion of execution of the rules, the communications packets are forwarded to the cloud computing environment if they comply with the policies.

Abstract: A policy engine is situated within the communications path of a cloud computing environment and a user of the cloud computing environment to comply with an organization's policies for deploying web applications in the cloud computing environment. The policy engine intercepts communications packets to the cloud computing environment from a user, such as a web application developer, for example, in preparation for deploying a web application in the cloud computing environment. The policy engine identifies commands corresponding to the communications packets and directs the communications packets to appropriate rules engines corresponding to such commands in order to execute rules to comply with an organization's policies. Upon completion of execution of the rules, the communications packets are forwarded to the cloud computing environment if they comply with the policies.

Abstract: Techniques disclosed herein provide an approach for creating and managing aggregation service hierarchies, such as hierarchies used in distributed scheduling services and heartbeat services. In one embodiment, management nodes accept host computer registration events and add host computers to a hierarchy used as the aggregation mechanism in an aggregation service. The management nodes each manage a portion of the hierarchy and configure registered hosts to take the roles of leaf, branch, and root nodes in the hierarchy. Further, the management nodes dynamically mutate the hierarchy by reassigning host roles, in response to host additions and failures, thereby maximizing fault tolerance/high availability and efficiency.

Abstract: Techniques disclosed herein provide an approach for assigning resource consumers to available resources. In one embodiment, components of a distributed scheduler are organized into a hierarchy, such as a tree. A placement request received at a root scheduler of the hierarchy is propagated down the hierarchy, either to all children or to randomly selected subsets of children of each scheduler in the hierarchy. Leaf schedulers in the hierarchy that receive the request each propagate back up a score indicating the amount of free resources in its corresponding resource bucket. Branch schedulers then compare scores that they receive, and each further propagate one of the received scores, such as the highest score, based on the comparison, until the root scheduler is reached. The root scheduler makes an additional comparison and returns one of the resource buckets in response to the received placement request.

Abstract: A cloud computing environment provides the ability to deploy a web application that has been developed using one of a plurality of application frameworks and is configured to execute within one of a plurality of runtime environments. The cloud computing environment receives the web application in a package compatible with the runtime environment (e.g., a WAR file to be launched in an application server, for example) and dynamically binds available services by appropriately inserting service provisioning data (e.g., service network address, login credentials, etc.) into the package. The cloud computing environment then packages an instance of the runtime environment, a start script and the package into a web application deployment package, which is then transmitted to an application (e.g., container virtual machine, etc.).

Abstract: A policy engine is situated within the communications path of a cloud computing environment and a user of the cloud computing environment to comply with an organization's policies for deploying web applications in the cloud computing environment. The policy engine intercepts communications packets to the cloud computing environment from a user, such as a web application developer, for example, in preparation for deploying a web application in the cloud computing environment. The policy engine identifies commands corresponding to the communications packets and directs the communications packets to appropriate rules engines corresponding to such commands in order to execute rules to comply with an organization's policies. Upon completion of execution of the rules, the communications packets are forwarded to the cloud computing environment if they comply with the policies.

Abstract: A deployment system provides the ability to deploy a multi-node distributed application, such as a cloud computing platform application that has a plurality of interconnected nodes performing specialized jobs. The deployment system may update a currently running cloud computing platform application according to a deployment manifest and a versioned release bundle that includes jobs and application packages. The deployment system determines changes to the currently running cloud computing platform application and distributes changes to each job to deployment agents executing on VMs. The deployment agents apply the updated jobs to their respective VMs (e.g., launching applications), thereby deploying an updated version of cloud computing platform application.