Abstract:
An example apparatus includes means for setting 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 means for updating 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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.